diff --git a/planning/behavior_velocity_intersection_module/README.md b/planning/behavior_velocity_intersection_module/README.md index e8a823a7e790e..16459bb64074b 100644 --- a/planning/behavior_velocity_intersection_module/README.md +++ b/planning/behavior_velocity_intersection_module/README.md @@ -24,7 +24,7 @@ This module is activated when the path contains the lanes with `turn_direction` ### Attention area -The `Attention Area` in the intersection are defined as the set of lanes that are conflicting with ego vehicle's path and their preceding lanes up to `attention_area_length` meters. `RightOfWay` tag is used to rule out the lanes that each lane has priority given the traffic light relation and `turn_direction` priority. +The `attention area` in the intersection are defined as the set of lanes that are conflicting with ego vehicle's path and their preceding lanes up to `common.attention_area_length` meters. `RightOfWay` tag is used to rule out the lanes that each lane has priority given the traffic light relation and `turn_direction` priority(`yield lane`). `Intersection Area`, which is supposed to be defined on the HDMap, is an area converting the entire intersection. @@ -54,10 +54,10 @@ For [stuck vehicle detection](#stuck-vehicle-detection) and [collision detection Objects that satisfy all of the following conditions are considered as target objects (possible collision objects): -- The center of mass of the object is **within a certain distance** from the attention lane (threshold = `attention_area_margin`) . +- The center of mass of the object is **within a certain distance** from the attention lane (threshold = `common.attention_area_margin`) . - (Optional condition) The center of gravity is in the **intersection area**. - To deal with objects that is in the area not covered by the lanelets in the intersection. -- The posture of object is **the same direction as the attention lane** (threshold = `attention_area_angle_threshold`). +- The posture of object is **the same direction as the attention lane** (threshold = `common.attention_area_angle_threshold`). - Not being **in the adjacent lanes of the ego vehicle**. #### Stuck Vehicle Detection @@ -68,31 +68,31 @@ If there is any object on the path in inside the intersection and at the exit of #### Collision detection -The following process is performed for the targets objects to determine whether the ego vehicle can pass the intersection safely. If it is judged that the ego vehicle cannot pass through the intersection with enough _margin_, it will insert a stopline on the _path_. +The following process is performed for the targets objects to determine whether the ego vehicle can pass the intersection safely. If it is judged that the ego vehicle cannot pass through the intersection with enough margin, this module inserts a stopline on the path. 1. calculate the time interval that the ego vehicle is in the intersection. This time is set as $t_s$ ~ $t_e$ -2. extract the predicted path of the target object whose confidence is greater than `min_predicted_path_confidence`. +2. extract the predicted path of the target object whose confidence is greater than `collision_detection.min_predicted_path_confidence`. 3. detect collision between the extracted predicted path and ego's predicted path in the following process. 1. obtain the passing area of the ego vehicle $A_{ego}$ in $t_s$ ~ $t_e$. - 2. calculate the passing area of the target object $A_{target}$ at $t_s$ - `collision_start_margin_time` ~ $t_e$ + `collision_end_margin_time` for each predicted path (\*1). + 2. calculate the passing area of the target object $A_{target}$ at $t_s$ - `collision_detection.collision_start_margin_time` ~ $t_e$ + `collision_detection.collision_end_margin_time` for each predicted path (\*1). 3. check if $A_{ego}$ and $A_{target}$ polygons are overlapped (has collision). 4. when a collision is detected, the module inserts a stopline. 5. If ego is over the `pass_judge_line`, collision checking is not processed to avoid sudden braking and/or unnecessary stop in the middle of the intersection. -The parameters `collision_start_margin_time` and `collision_end_margin_time` can be interpreted as follows: +The parameters `collision_detection.collision_start_margin_time` and `collision_detection.collision_end_margin_time` can be interpreted as follows: -- If the ego vehicle was to pass through the intersection earlier than the target object, collision would be detected if the time difference between the two was less than `collision_start_margin_time`. -- If the ego vehicle was to pass through the intersection later than the target object, collision would be detected if the time difference between the two was less than `collision_end_margin_time`. +- If the ego vehicle was to pass through the intersection earlier than the target object, collision would be detected if the time difference between the two was less than `collision_detection.collision_start_margin_time`. +- If the ego vehicle was to pass through the intersection later than the target object, collision would be detected if the time difference between the two was less than `collision_detection.collision_end_margin_time`. -If collision is detected, the state transits to "STOP" immediately. On the other hand, the state does not transit to "GO" unless _safe_ judgement continues for a certain period to prevent the chattering of decisions. +If collision is detected, the state transits to "STOP" immediately. On the other hand, the state does not transit to "GO" unless safe judgement continues for a certain period `collision_detection.state_transit_margin` to prevent the chattering of decisions. #### Stop Line Automatic Generation -If a stopline is associated with the intersection lane, that line is used as the stopline for collision detection. Otherwise the path is interpolated at a certain intervals (=`path_interpolation_ds`), and the point which is `stop_line_margin` meters behind the attention lane is defined as the position of the stop line for the vehicle front. +If a stopline is associated with the intersection lane on the map, that line is used as the stopline for collision detection. Otherwise the path is interpolated at a certain intervals (=`common.path_interpolation_ds`), and the point which is `stop_line_margin` meters behind the attention area is defined as the position of the stop line for the vehicle front. #### Pass Judge Line -To avoid a rapid braking, if deceleration and jerk more than a threshold (`behavior_velocity_planner.max_accel` and `behavior_velocity_planner.max_jerk`) are needed to stop just in front of the attention area, this module does not insert stopline after passing the default stopline position. +To avoid sudden braking, if deceleration and jerk more than a threshold (`behavior_velocity_planner.max_accel` and `behavior_velocity_planner.max_jerk`) is required to stop just in front of the attention area, this module does not insert stopline after passing the default stopline position. ### Occlusion detection @@ -104,6 +104,66 @@ The occlusion is detected as the common area of occlusion attention area(which i If the nearest occlusion cell value is below the threshold, occlusion is detected. It is expected that the occlusion gets cleared as the vehicle approaches the occlusion peeking stop line. +In there are no traffic lights associated with the lane, the ego vehicle will make a brief stop at the _default stop line_ and the position where the vehicle heading touches the attention area for the first time(which is denoted as _first attention stop line_). After stopping at the _first attention area stop line_ this module inserts `occlusion.absence_traffic_light.creep_velocity` velocity between ego and the position which is `occlusion.absence_traffic_light.maximum_peeking_distance` ahead of _first attention area stop line_ while occlusion is not cleared. If collision is detected, ego will instantly stop. Once the occlusion is cleared or ego passed `occlusion.absence_traffic_light.maximum_peeking_distance` this module does not detect collision and occlusion because ego vehicle is already inside the intersection. + +![occlusion_detection](./docs/occlusion-without-tl.drawio.svg) + +### Data Structure + +#### `IntersectionLanelets` + +```plantuml +@startuml +entity IntersectionLanelets { + * conflicting lanes/area + -- + * first conflicting area + The conflicting lane area which the path intersects first + -- + * attention lanes/area + -- + * first attention lane area + The attention lane area which the path intersects first + -- + * occlusion attention lanes/area + Part of attention lanes/area for occlusion detection + -- + * is_priortized: bool + If ego vehicle has priority in current traffic light context +} +@enduml +``` + +#### `IntersectionStopLines` + +Each stop lines are generated from interpolated path points to obtain precise positions. + +```plantuml +@startuml +entity IntersectionStopLines { + * closest_idx: size_t + closest path point index for ego vehicle + -- + * stuck_stop_line: size_t + stop line index on stuck vehicle detection + -- + * default_stop_line: size_t + If defined on the map, its index on the path. Otherwise generated before first_attention_stop_line + -- + * first_attention_stop_line + The index of the first path point which is inside the attention area + -- + * occlusion_peeking_stop_line + The index of the path point for the peeking limit position + -- + * pass_judge_line + The index of the path point which is before first_attention_stop_line/occlusion_peeking_stop_line by braking distance +} +@enduml +``` + +![data structure](./docs/data-structure.drawio.svg) + ### Module Parameters | Parameter | Type | Description | @@ -115,7 +175,6 @@ If the nearest occlusion cell value is below the threshold, occlusion is detecte | `common.intersection_velocity` | double | [m/s] velocity profile for pass judge calculation | | `common.intersection_max_accel` | double | [m/s^2] acceleration profile for pass judge calculation | | `common.stop_overshoot_margin` | double | [m] margin for the overshoot from stopline | -| `common.path_interpolation_ds` | double | [m] path interpolation interval | | `stuck_vehicle.stuck_vehicle_detect_dist` | double | [m] length toward from the exit of intersection for stuck vehicle detection | | `stuck_vehicle.stuck_vehicle_vel_thr` | double | [m/s] velocity threshold for stuck vehicle detection | | `collision_detection.state_transit_margin_time` | double | [m] time margin to change state | @@ -128,7 +187,13 @@ If the nearest occlusion cell value is below the threshold, occlusion is detecte | `occlusion.peeking_offset` | double | [m] the offset of the front of the vehicle into the attention area for peeking to occlusion | | `occlusion.min_vehicle_brake_for_rss` | double | [m/s] assumed minimum brake of the vehicle running from behind the occlusion | | `occlusion.max_vehicle_velocity_for_rss` | double | [m/s] assumed maximum velocity of the vehicle running from behind the occlusion | -| `occlusion.denoise_kernel` | double | [m] the window size of morphology process for clearing noisy occlusion | + +#### For developers only + +| Parameter | Type | Description | +| ------------------------------ | ------ | ---------------------------------------------------------------------- | +| `common.path_interpolation_ds` | double | [m] path interpolation interval | +| `occlusion.denoise_kernel` | double | [m] the window size of morphology process for clearing noisy occlusion | ### How to turn parameters diff --git a/planning/behavior_velocity_intersection_module/config/intersection.param.yaml b/planning/behavior_velocity_intersection_module/config/intersection.param.yaml index 4042adeb3623e..5e74e837bf186 100644 --- a/planning/behavior_velocity_intersection_module/config/intersection.param.yaml +++ b/planning/behavior_velocity_intersection_module/config/intersection.param.yaml @@ -54,6 +54,9 @@ ignore_parked_vehicle_speed_threshold: 0.8333 # == 3.0km/h stop_release_margin_time: 1.5 # [s] temporal_stop_before_attention_area: false + absence_traffic_light: + creep_velocity: 1.388 # [m/s] + maximum_peeking_distance: 6.0 # [m] enable_rtc: intersection: true # If set to true, the scene modules require approval from the rtc (request to cooperate) function. 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> + + + + + + + + + - + @@ -51,7 +87,7 @@ stroke-miterlimit="10" pointer-events="none" /> - + - + - + yield lane - - + + @@ -749,10 +785,10 @@ - - + + - + - attention area + attention lane - attention area + attention lane @@ -1141,12 +1177,12 @@
- attention area + attention lane
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</diagram></mxfile>" > @@ -25,13 +25,13 @@ transform="rotate(-130,954.7,670.3)" pointer-events="none" /> - - - + + + - + - - - + + + @@ -50,8 +50,7 @@ - - + @@ -88,9 +87,9 @@ stroke-miterlimit="10" pointer-events="none" /> - + - + - + - + - + - + - - - + + + - + - + - + - - - - - + + + + + - + - + - - - + + + - + - + - + - - + + - + - + - + - + @@ -436,8 +435,8 @@ ego lane - - + + @@ -474,16 +473,16 @@
- attention area + attention lane
- attention area + attention lane
- - + + @@ -548,12 +547,12 @@ transform="rotate(225,2890.14,695.64)" pointer-events="none" /> - + - - + + - attention area + attention lane - attention area + attention lane - - + + - - - + + + - - + + - + @@ -753,13 +752,13 @@ transform="rotate(-130,954.7,1832.3)" pointer-events="none" /> - - - + + + - + - - - + + + @@ -779,7 +778,7 @@ - + - + - + - + - + - + - + - - - + + + - - - - - - - - + - - + + - - + + - + - + - - - + + + - + - + - + - - + + - + - + - + - + - + @@ -1150,8 +1118,8 @@ ego lane - - + + @@ -1186,16 +1154,16 @@
- attention area + attention lane
- attention area + attention lane
- - + + @@ -1224,12 +1192,12 @@ transform="rotate(225,2890.14,1857.64)" pointer-events="none" /> - + - - + + - attention area + attention lane - attention area + attention lane - - - - - + + + + + - - + + - + @@ -1376,6 +1344,494 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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> @@ -23,7 +23,7 @@ pointer-events="none" /> - + - + - - + + - + - + - - - + + + @@ -139,7 +139,7 @@ - + @@ -176,9 +176,9 @@ stroke-miterlimit="10" pointer-events="none" /> - + - + - + - + - + - + - - - + + + - + - + - + - - + + - - + + - + - + - - - + + + - + - + - + + + + + + + @@ -589,16 +613,16 @@
- attention area + attention lane
- attention area + attention lane
- - + + @@ -654,7 +678,7 @@ stroke-miterlimit="10" pointer-events="none" /> - + - + - - + + - attention area + attention lane - attention area + attention lane - - + + @@ -875,7 +899,7 @@ stroke-miterlimit="10" pointer-events="none" /> - + @@ -990,10 +1014,10 @@ stroke-miterlimit="10" pointer-events="none" /> - - + + - - + + - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+
+
+ attention area +
+
+
+
+ attention area +
+
+ + + + + + +
+
+
+ attention area +
+
+
+
+ attention area +
+
+ + diff --git a/planning/behavior_velocity_intersection_module/docs/occlusion-without-tl.drawio.svg b/planning/behavior_velocity_intersection_module/docs/occlusion-without-tl.drawio.svg new file mode 100644 index 0000000000000..2fc22c8a4a401 --- /dev/null +++ b/planning/behavior_velocity_intersection_module/docs/occlusion-without-tl.drawio.svg @@ -0,0 +1,518 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+
+
+ + + + default stop +
+ line +
+
+
+
+
+
+
+
+ default stop... +
+
+ + + + + + +
+
+
+ + occlusion + +
+
+
+
+ occlusion +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+
+
+ + + + first attention +
+ stop line +
+
+
+
+
+
+
+
+ first attentio... +
+
+ + + + + + + +
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LqzDb0tvKtFpn3Demm/lw0P03J6zRGGVUHInSGNQOethSacWhoNwhVzOdgBQohMk5J8JwyhKGIND9lgceBkhp1yIKgxRyu5Opvowy51NNigf3T4vEiVIGxTCWGqr7Y3d8svpMLpuoWnP/9LSEOSMo17hYf15uv6Vc+bh+3+1RTyq8X5Rwgq+YAkkyHy6wE4FXyGotdqsyAm8Xyw30iyi7tV/kOqZQ69fTkdJLkLzR7Eb/OhCYEVtVk/9zerjZq4G0yutvKO/NPeh1pspJy5I36u0IJVWtF5fLX3QvzezVQO02DimlScuVXigsptfILWuCrAfUoS1NVg4muqsaTXUKNwORjobHqufTuoK7mTKguJppr8p1cd82/k+mv6qq524Tm1DuMukbTCQtdNnlVpc2qYWMZUnZustD5pXyNC96mirvzO1U3MFzQBXw1LqXFAfpKytPFI5IiAX0xY+f8aqbu6suqrkdfujfexMVC8jEHRDVAcHuA5BqDGkmcEQEwmOqAGsUOGZIdsgciOOtJDSK4q2leyzfW0CtUrXP+FtnO1goHcfgZ1uYbYu2SZ0kxX/KsNFE49CxrW/aflSX+OV/S6X/NlqD8tdKU4hLA6kfbIDaI3QHdBm+d0d0Puo2ZLNImRRI9o7vsWUkJxXToLl0CykNPHQzd9IzuXtHNIDRWbmDZbVFpPrKblqJ7bNnNRkV3FjBxb3N1zzRw8o2wA6cGEG0BnJac9MoQ5U9LClI6MEQvMDR+5lnI9iJkS7VDc//sS8iWPSuphJlOyJYvQVozM6KcNbhuTi6C+MU5CEw3gC3fhKHJuQ4CXctRxrRZTUcT1uzqIzBUnzNChkQIMOh8UggxN+izsjbJtspo2Z5Cy57ReVuFcfmzJlTVoPE75ySoXqK329wULAQklUxloipJ6ijjkxG83aZ930lO6RB5ABA+kuoI6go3UkbmNHRePCoNnycPUm30aB5CL56dhdGNgTSU7gw4s2Qhdecma55inUpFaRZPzy8ZGmYWQQ9dOnUBLIRhUdi2Ru92jcBlz4Kgm2v0ohcBfGw06cxeHdjLkMQuexmXTp29eEzSJJMwi3lFXL3yW+XDi8quyfju2DjXme868J2xti7fGZdOnO+kUVoazIUlcYqubMZLXYNpndlk7HVsoG1q9io+H8FecGT2Mq05l7/gCzLcES/z+iR1bb3uY1a+j2O2TWm4n2N9U6OQiTJksLJki84oLH1WWnk3GQrHDfWdUeghg2MTa45jsUQB6G5D8/JnTYnCmcbjviknZlJTqK/4Tkxju5rCiTnTeNw3hRBq2txzc3ObZtTZYBnNYKlwxJnXTnyTrjJYzAD2wAYLpiXPGmOTNtfyJBnsJB1upmrkMdjLiSTJXcdAkb3r6ErLXpkMolJNuOp5ozCasRJNGS0t+0SuehK7uKtQGswCz/y6QftjlArGMHFqQYNr79eElqgbgdrQMvyGakQHVUQ6BATDB+epy9nReYqK9uF56qI6Pi8gTdMTqtRnfQzgzUIK3khSUOqoj8u3m836aZ+a7Um96KvH++xtQCTkXicg5gRAHAOYSlslx417IASYcQp4zDmjqoZU3rPYLQtxDCLGk9EWujQkYdGfuxgG1pIL+tQimoQLBnA5YKEwvuJCFPKS4F1vmOwQLBvDfDoZgsOSGrAKiiNWQfGywrHeCN4hfDOKvRy3J7kUYbfrlWle53dPhIZLFtbQrcoJFw68QscaHA7HBhta6e754epqCJsEd/3BHfwifeni+nD14ocYpnjE1WFqjrWAMmdOA3vBOgS+GC/WurE32yKQG4w3UOhF43OJfwoGACoJuMO41zgM5uHHlD1lFG2/QwRm+bz7ZIVRGoVkjjeycSl71zBqxJMsVIdZUzWqKbvKkRBPmVyLcGHR5w9hx3KtKSnG5+P82inwMQvzF++ViyEsERaoGxsfX95WIlbYuKXxXaraZik4LI5m+VjB0Sgf68rRoznMe5MDuUJ/wnIAknEEwaT7eYdIpfbeTeykEwxGBAjA5b+QofLUXxIBrk7qTP6UR43lJBETxXwVIWSOJF/TPJfZTJYZpANUh2DhXM3jXm3gHLz1eMFxFEtWU/8KzMvymyAhkSgIG5sgcH26NJZ6YgVGBjaSTRfPKTpuud64bF+t5C2OieA4xjR1lHu+WiTaApXQU8EpBFQKNQJwDDAVEJtBMxOnQCihFjMQMwIlYss9OVTOaPSFCeyvPGIlO1BvWDUgOSsBlrbEOglkSHYwtzsSTnuhRO12hQAzCN/Gwze48Dq2DG0uyn9f7j3DiBCA5GN6JhjH+dh4zjwDYq7yb+4+rvJfqCunoPxDCG2+CodOhKVFAl6i8nU0DRhswNu42SuMYTbgDhG6U3MDHmVr2wwd8Aocyc79ePm6MnhO5JNgcNqEuQh1uKtP/sakyStQl8E78ffx/kF45NuO4T3Esy746+hAnD7lzw8zFqvZj1gxyHPaYgXHTbiEwQHFCmnGqKwPsdIP13YI7M88V5AjYOhCVnpgnJw22zo9UFr9Fa3CVH6g1Bf1pGVBpN4MtQ7x3jl5mSZLD7ycOD2wYLV6nxMP+86t8VklCOKZVuDp8qoTIHpYaKG4nOSTZgjiDnGqETtczjBBsI0AKPF5QDPPaU4JgqRDQGyW3oYZqf7FwjVW9E11zlP0DYb1FP0ar/e8FH0ESrbHsqhJN2Ue0fBjrKYHYyvsZuXA2cwOZeHOlPsq6vCKa6fMfbhfU5qVPGXK3Bxi8NjLcrL3W0Wu8nUNTivydVFj9ivP1+3Dz955n8zBdxKcSko2sH6z4lFJk0dclq03uL8cw5I3QuP6xEmHoPqYaWIvp+kIJGXNfamoaDoyg2MASIfAbVOFrg8Na3aFV8WqNG6CYPKhK9LNayfeBKHiPANYlj/UvSFdaY9Ty5M/uoo288LVlyNyQUnVihK5FXXscxC5o1aznli6W/edoli75oLZ4FZPMBvXTl0w09LDX2LSt2CmpPRZ8ZSCuUPcch51LRyX9vqRQjCiINbJ4eWhGk5IhESeRV7VDdGpejH9IIMIw5lG7iauZCE1lr4ZuKMwwiwOnKNgZrNxEnGUI8VcdTf3ANDI9DCPnQluJq2cYoJBWRlLT5UrlxBPW7vSAplW3ooVRiSm2CJ03sUq5h49JxF1OXV2QR0ULJKzpiTHYkLpQ2cd3yJlVJ1T3LiXlFFTXXO1dpMfXa29uHYKqrmgJQKSxaXccrySHpecWQphs6eOoa5Tg91OOqHDjEoJwH3GgnELzqpvItOZ/XtmUlPD9Ezrk0r3YCBsfjFqGV+k5HDyjuHnknw8RnCTh47Coh2iS6cWjZYs6zdSgyJuyFNDN3DpJRhdycUVwejT2mqtOJwVJcYDbrW45KmqoqqHrfb4UDWNS16QlS7LGJFr80yhprLFN9v30tDfR4fd4nH/tN2lllO0XOzeJ+viSplk2Va7t59W6epVWGQAULC6uyiVRADAN6+vkutHuiYW+chy9ZgJEceGk8hM+SwU3LlL/jiiYaCQjNwQy6LgqCIkU1XcYiUcD2LvdYjXFUA7ZH9patzv9eYDIpBiMByk8xG3vF3diJsg4oLWPnO3g6FoHnPV+aiE7IyBqKJmRJhHbHgp4zAa2PVMO8ThWggZHEJACyGzopCAKnUHqeK9i6GETABN85U7cVQGQR5b17xCO/Oi52xig0OwQ1Sqs2sxQNGm4udOLFfLZTkWbwQldCyRwyRJmbE+Fr0FiCNRTnDEuSWRPE3UkEiDELw63MU2qTv2JvlwX/hm9QXFagFQsL+et8UNl3qfeZXcKpf7SzFRfqf5iP3hefkhI9rDepnMjMCtNFs0v8vl2K0W6e9JdEtwv3pc7RaHBIkIZDcdHlYZgZNVV99ScLWuKaso/c6dNZ5Ixn3xRP2bk/XVPzy0KMkN3pLVyG8pCTdSgrVhoCfLlMsmsOy7EI89ZfIYXWQ7f+rF3TuG6JMptlXA6MIWzZvVXYaNRRp7ekNLg0fXyZ+ZsKs0I0p4NTYbYHphyArdAJadfNuaTZPB3TZlCduAUbv7P7e3K323Qptar+v900KSREFNfZSPyUCm3qEkFJlvxO42nG7CGdIUznT4sS74aIUeg5XNRgwyWNVsBCOzimYTS+rHaI+KsU+kx5zYsMpU0AL8iSfFVBeyQJNergxOyXqt2Ot//HoV/3Lzx9dF/OnHX9eLny4vlUKpbswgmdwI1ZCkg402kF0lMP3G1/SjsinUx8/Zz7vICpTVWAamdFAVJqtBCaJkoACQHL1On3eRwyZ7fAohJdcrfgLPfkIi5JP7PKzonVzt45YQykSQBYsGpJkjYZKTR6opk9QRu5RRwnMYwojxCaM0q2aksWuB87vGpFhyOohBMaShbJKMgzFJFteTLHckFyFYi0o2SXNPcLL92v5i5S12iWXS1aFY5stN5838uKkXt/DhGhfffM0/pb7b9PVSnzPOju7Q/macHduR+5qzr6Z+5uJDoYOkYy2xkXl9K25k6Y2ZC7he6iXO5yqsGViiASjpsdwZXMwVxlf2hMzHqaGcnMthQDnprG1OYXl1C5R6E2FuT+TOY/lpHbTnv7o7A2BQzwBZaCWDU8ENmQQpZYVyoPtM4bJNKSskB2ZY7KB26DqGsKKbBbp/y/iA2nzB2vNFwXPTcgmbFZcwG9u8I48k7exNZkPNmCSLH+S36fBF2es6rMi4w3HpfP3yH2y1AY3JcgZ/MIc/UAf+yBgYXrTay6bjJDFnTkrOi+iFlcbeb1A93rPkeJfwv159T77+9cvtf17dPl1fX735/Y8fri81+7g6qJ04n4yDMP20bgopxrFzyoOxUKHTHRzVNXCqg4uGwGkOg+i12haapynS3ebI4dPc5gicxmAxkn8Kg0NWffqCR8uhjBLV8biOeNM5gzj1/D/uQQqO/weJZgAidIb4CZ2SYOIncDqCgx+daO7vDGmC+TAYovUY6l0AqCMO5kfBwGkGBgEDpxg08UgMx/xstgphV3dErkiq4wZMRVIdNTCQA0LDpFYh1MK2ViHUW+pMFMLQWQIGrANnCHRSF/3TAkyPa/VDhlYlG/jB5+S6aGn5mGzj2F/jeCcGYCE6Lxbyu/Ub4A506e/k3/MbZ5u7j9/ZfgC/RqDLfu07DOv1aBApaed2H8DxAS2mo9VM14urvnfGpKfJmIF+96Zbzu9z34UxAx3tTabwO9mPubU1CEulXhJLAY/D0n1wxwkTyFq8UD9616gO9KF30RToPz+Iyk0axEBefPLF5QjJFzmsm1vf3PbC5Z+nS78gDTz2fVvWqhx7fsQhFmmSZomu6Txq/gVB41NmuvSLDszk2IhQx7AnS78gDdzU00a/xlACWxK8Vu3TfFCr9ukbZ6L2Jf2XTXy63tGmql1Se2OKJjiu+kYaOPBPzLyxMormgnPYFOdw1jjHXU0Y5swzciyXNIgxzMEBpx1pnUR50vDbyTdCNUAP5xt18sH1L/PBvHiBOKK6ax5drn7mvulhfGlJB27zOWgEfxlpEBQaJpxfFOAlN2YdXVsksTZScFt5KCo9EY5RknXJdi1G3arVBXXWonUYXbdBuKJOKeiyd0+QgNyOwPWyrWnOFplX9qPEI0TCwSN0I8dNBZycDXB3tsw5N96WP1mJw4kJIkpcUlERqByaRBD1XvMwoySDNpKxbzElmoqpeaWWKsHCXLTG5AgxBb3Z4nHFFG3g0Z8qy1Q41l+o17IjJgI9lj2B4fdWHkR40Am83yPkleaAae789nojGzQN9ER2SKp7IXt0HMrVSlE94eaVVNo5jzRpZDw/xOQxztz97vcqdlAySeoonSJ3fIwIVwuS5STyewu7jCxG5eLJPMtk2hhJp0QZTfBa1U1DvlZ1o/NKAhXUESmB7r5dlLikj685b6B/75jqXANH89Q50UkLXgvSMO7kJu7gre6dHZoGVrRSMRN2YDqQojPF/D66XbjBdSoGOuWOyQwNfMFzirokjW6trH/RPuu/cxJ1l6BLcz5Bp7lt5D7xPFbit2TtwijYmTfUi7YBp7QNySSdZq1dMPhzBo3Q0Abefdc4qmgia/Go3dkxqFNnbWMDHJw1jC3r5Fhr3C2yT1n/Rlv/Ths1es7ZrEXjoA5WQN1IDwo4WENppXnaU//aeQPPamMQ4NYgyNp6hsR42tCzPxAUwp65NtlqkdhkZZC426yffihV4/uCB4lh0n/TAggpxkznGtODVu5xfmvvKGEhF1raAu6maP6WDqS9CQ38pE0WzWaMqhUjQPTpS/q17LqeKGu/WDRfNFsvZo0Xk7aLZtNFcLdTnV3T9olZw8WrZENUNz8mV5LvLJOGgdl9//fuSs/1qLregT+f5XZ3my6hvsl7n7z3XfpT7Z9/kTRfLOmHpzlJt1us9UM8GUqF12LRw3TRXBGnrRWzxoqZuvNUME/SUrFgkqSdYtZMMWml6DFq1kQxwKhZ+8Sgl2M0znH5But8NoNrSMgJDXV8sneeEf1WxRq6Kypchaarw6PM9XUWcGy39DPR+PSxxjZdgTNP8xgPk1tN3WwD20Giaz5F6ns+wkOWVgR5sEEBYJ0qWKjTqU9qVzrE0QUs3mzYDVANDZZ2BYc6OX+xf8jNaAMfavzd4iC3jaQ4Q07jm8ioBY5eCmqYFgHldG4lYtww8tioiUNh5BJNbV1oXNun95v14+r9R/l2SlvKdZl1K/1GbtkHG3eeGu5q6x/Xt7fq6693K6mrZEFpoK2HZNHo6wv6Rs31fNhm+gz0wJnh31Rb9NBRUG2jiDDqownGniKCcADSbvJCb3oIbxAbGyqKqhRCkyiooIotemChqiJF/LUUQgl1qENA4KumV2/evn4tfG24WZ+n4dBAoa++oEBClaaHhYahSgFZg7jElDH1WAiKOAYcCRRfOAF2QDiIBYihgFD9l5gwZridUh8ed4tbvlg6eEDID7crp4O2ZQoo8fET8QBzFVVCRHVt8sgFpTzkD5gNigiTVh0CglJKIOYuigSHHHAGhMAcMhdCOOClCkII0rDfahYQUi3AWABE2v1v+htRHGknuOVOAihCQzmUeCApQJdsfkv7UkUOyXDoIMLpHCGxEQc60Yc80aQHd8nz1b9+EODdzfvn979K4v1++Qp9vURzligQxrEghEp1HhAo5idRMg/2kBIldlVbDsYXJkHoTKjgvgDojKDPQG8rEr5VNAl05t22FGAhICAUAwaw10YlVmFkaXPSmGPIKXmp4CG+JiPiKTQZ/i/x+ebHP9nfP7x72nzY/bL4681vlw3S9pt76fyUla7+OJfudyu2XL4oPx0TffrpvNn689MFYRNSd4YKqAb8fc/LD++zeOb7NLr6/na9P9Q4/lrHO2fpDxxOWDESu7gS2tdnZXgM5P8LIi2kHbUDFq4DVnoGXGCiZbryapLd/c3iO5AG5Z3//S2ZCiRPvVt8XG++pl/5uH3c7tPQeH69eCtQ+lLpGXzuiXVy1D7aruRQShA6Lq/k3opTAdtMg4xzB8uPwexy2mVCuurTLs1HWMdGftYvj8Bht7i7Wy+Tv2+y0wdRcjYg2OmP1edP5k/YdbhiXvjup9Xd4fJhoY/RTN/sb83f4KLuAM0UzS3Xuf5U0dJf1GwRGvwo/eK1534mYjlwpGfgfE3/nORMQKuLhYhG+fG7OvMxfRZVL0HfpLNrcV08sPT0bvsYz3zY4JNhzufkuOz4bo7MMzjd8zmpcQSndz4nmc/5nI6KIdd/kb5saDPPbt41GNED3/1bTZexp8Gc5dOXqBWlW4q7N5VvAyXqlP/2Ja9VebJpuWaT5VK9JL2GY+pEshiUJhgI1IiSgGoDB9NtQub7Wbc56zZn3eas25x1m29bt0nJDA7Pu8eqjf6s3nzz6g0ViLvqTQwGVW8uMqwbPsUC5fjt/wM=</diagram></mxfile>" > @@ -18,7 +18,7 @@ - + @@ -57,9 +57,9 @@ stroke-miterlimit="10" pointer-events="all" /> - + - + - - - - + + + + - - - + + + - + - +
- +
autoware_perception_msgs behavior_velocity_planner_common geometry_msgs - grid_map_core interpolation lanelet2_extension libopencv-dev - magic_enum motion_utils nav_msgs pluginlib @@ -41,8 +39,6 @@ vehicle_info_util visualization_msgs - grid_map_rviz_plugin - ament_lint_auto autoware_lint_common diff --git a/planning/behavior_velocity_intersection_module/src/debug.cpp b/planning/behavior_velocity_intersection_module/src/debug.cpp index fbb82d6ace175..c875611b16003 100644 --- a/planning/behavior_velocity_intersection_module/src/debug.cpp +++ b/planning/behavior_velocity_intersection_module/src/debug.cpp @@ -271,29 +271,37 @@ visualization_msgs::msg::MarkerArray IntersectionModule::createDebugMarkerArray( motion_utils::VirtualWalls IntersectionModule::createVirtualWalls() { - // TODO(Mamoru Sobue): collision stop pose depends on before/after occlusion clearance motion_utils::VirtualWalls virtual_walls; motion_utils::VirtualWall wall; - wall.style = motion_utils::VirtualWallType::stop; if (debug_data_.collision_stop_wall_pose) { + wall.style = motion_utils::VirtualWallType::stop; wall.text = "intersection"; wall.ns = "intersection" + std::to_string(module_id_) + "_"; wall.pose = debug_data_.collision_stop_wall_pose.value(); virtual_walls.push_back(wall); } if (debug_data_.occlusion_first_stop_wall_pose) { + wall.style = motion_utils::VirtualWallType::stop; wall.text = "intersection"; wall.ns = "intersection_occlusion_first_stop" + std::to_string(module_id_) + "_"; wall.pose = debug_data_.occlusion_first_stop_wall_pose.value(); virtual_walls.push_back(wall); } if (debug_data_.occlusion_stop_wall_pose) { + wall.style = motion_utils::VirtualWallType::stop; wall.text = "intersection_occlusion"; wall.ns = "intersection_occlusion" + std::to_string(module_id_) + "_"; wall.pose = debug_data_.occlusion_stop_wall_pose.value(); virtual_walls.push_back(wall); } + if (debug_data_.absence_traffic_light_creep_wall) { + wall.style = motion_utils::VirtualWallType::slowdown; + wall.text = "intersection_occlusion"; + wall.ns = "intersection_occlusion" + std::to_string(module_id_) + "_"; + wall.pose = debug_data_.absence_traffic_light_creep_wall.value(); + virtual_walls.push_back(wall); + } return virtual_walls; } diff --git a/planning/behavior_velocity_intersection_module/src/manager.cpp b/planning/behavior_velocity_intersection_module/src/manager.cpp index e02a1e4220030..d42c9b3ca2aa2 100644 --- a/planning/behavior_velocity_intersection_module/src/manager.cpp +++ b/planning/behavior_velocity_intersection_module/src/manager.cpp @@ -136,6 +136,10 @@ IntersectionModuleManager::IntersectionModuleManager(rclcpp::Node & node) getOrDeclareParameter(node, ns + ".occlusion.stop_release_margin_time"); ip.occlusion.temporal_stop_before_attention_area = getOrDeclareParameter(node, ns + ".occlusion.temporal_stop_before_attention_area"); + ip.occlusion.absence_traffic_light.creep_velocity = + getOrDeclareParameter(node, ns + ".occlusion.absence_traffic_light.creep_velocity"); + ip.occlusion.absence_traffic_light.maximum_peeking_distance = getOrDeclareParameter( + node, ns + ".occlusion.absence_traffic_light.maximum_peeking_distance"); } void IntersectionModuleManager::launchNewModules( @@ -165,13 +169,21 @@ void IntersectionModuleManager::launchNewModules( continue; } - const auto associative_ids = - planning_utils::getAssociativeIntersectionLanelets(ll, lanelet_map, routing_graph); const std::string location = ll.attributeOr("location", "else"); const bool is_private_area = (location.compare("private") == 0); + const auto associative_ids = + planning_utils::getAssociativeIntersectionLanelets(ll, lanelet_map, routing_graph); + bool has_traffic_light = false; + if (const auto tl_reg_elems = ll.regulatoryElementsAs(); + tl_reg_elems.size() != 0) { + const auto tl_reg_elem = tl_reg_elems.front(); + const auto stop_line_opt = tl_reg_elem->stopLine(); + if (!!stop_line_opt) has_traffic_light = true; + } const auto new_module = std::make_shared( - module_id, lane_id, planner_data_, intersection_param_, associative_ids, is_private_area, - enable_occlusion_detection, node_, logger_.get_child("intersection_module"), clock_); + module_id, lane_id, planner_data_, intersection_param_, associative_ids, turn_direction, + has_traffic_light, enable_occlusion_detection, is_private_area, node_, + logger_.get_child("intersection_module"), clock_); generateUUID(module_id); /* set RTC status as non_occluded status initially */ const UUID uuid = getUUID(new_module->getModuleId()); diff --git a/planning/behavior_velocity_intersection_module/src/scene_intersection.cpp b/planning/behavior_velocity_intersection_module/src/scene_intersection.cpp index 89bb65f403095..89cdeaae56723 100644 --- a/planning/behavior_velocity_intersection_module/src/scene_intersection.cpp +++ b/planning/behavior_velocity_intersection_module/src/scene_intersection.cpp @@ -17,7 +17,6 @@ #include "util.hpp" #include -#include #include #include #include @@ -65,14 +64,18 @@ static bool isTargetCollisionVehicleType( } IntersectionModule::IntersectionModule( - const int64_t module_id, const int64_t lane_id, std::shared_ptr planner_data, + const int64_t module_id, const int64_t lane_id, + [[maybe_unused]] std::shared_ptr planner_data, const PlannerParam & planner_param, const std::set & associative_ids, - const bool is_private_area, const bool enable_occlusion_detection, rclcpp::Node & node, + const std::string & turn_direction, const bool has_traffic_light, + const bool enable_occlusion_detection, const bool is_private_area, rclcpp::Node & node, const rclcpp::Logger logger, const rclcpp::Clock::SharedPtr clock) : SceneModuleInterface(module_id, logger, clock), node_(node), lane_id_(lane_id), associative_ids_(associative_ids), + turn_direction_(turn_direction), + has_traffic_light_(has_traffic_light), enable_occlusion_detection_(enable_occlusion_detection), occlusion_attention_divisions_(std::nullopt), is_private_area_(is_private_area), @@ -81,11 +84,10 @@ IntersectionModule::IntersectionModule( velocity_factor_.init(VelocityFactor::INTERSECTION); planner_param_ = planner_param; - const auto & assigned_lanelet = - planner_data->route_handler_->getLaneletMapPtr()->laneletLayer.get(lane_id); - turn_direction_ = assigned_lanelet.attributeOr("turn_direction", "else"); - collision_state_machine_.setMarginTime( - planner_param_.collision_detection.state_transit_margin_time); + { + collision_state_machine_.setMarginTime( + planner_param_.collision_detection.state_transit_margin_time); + } { before_creep_state_machine_.setMarginTime(planner_param_.occlusion.before_creep_stop_time); before_creep_state_machine_.setState(StateMachine::State::STOP); @@ -226,6 +228,23 @@ void prepareRTCByDecisionResult( return; } +template <> +void prepareRTCByDecisionResult( + const IntersectionModule::OccludedAbsenceTrafficLight & result, + const autoware_auto_planning_msgs::msg::PathWithLaneId & path, bool * default_safety, + double * default_distance, bool * occlusion_safety, double * occlusion_distance) +{ + RCLCPP_DEBUG(rclcpp::get_logger("prepareRTCByDecisionResult"), "OccludedAbsenceTrafficLight"); + const auto closest_idx = result.closest_idx; + const auto collision_stop_line_idx = result.closest_idx; + *default_safety = !result.collision_detected; + *default_distance = + motion_utils::calcSignedArcLength(path.points, closest_idx, collision_stop_line_idx); + *occlusion_safety = result.is_actually_occlusion_cleared; + *occlusion_distance = 0; + return; +} + template <> void prepareRTCByDecisionResult( const IntersectionModule::OccludedCollisionStop & result, @@ -570,6 +589,59 @@ void reactRTCApprovalByDecisionResult( return; } +template <> +void reactRTCApprovalByDecisionResult( + const bool rtc_default_approved, const bool rtc_occlusion_approved, + const IntersectionModule::OccludedAbsenceTrafficLight & decision_result, + [[maybe_unused]] const IntersectionModule::PlannerParam & planner_param, + const double baselink2front, autoware_auto_planning_msgs::msg::PathWithLaneId * path, + StopReason * stop_reason, VelocityFactorInterface * velocity_factor, util::DebugData * debug_data) +{ + RCLCPP_DEBUG( + rclcpp::get_logger("reactRTCApprovalByDecisionResult"), + "OccludedAbsenceTrafficLight, approval = (default: %d, occlusion: %d)", rtc_default_approved, + rtc_occlusion_approved); + if (!rtc_default_approved) { + const auto stop_line_idx = decision_result.closest_idx; + planning_utils::setVelocityFromIndex(stop_line_idx, 0.0, path); + debug_data->collision_stop_wall_pose = + planning_utils::getAheadPose(stop_line_idx, baselink2front, *path); + { + tier4_planning_msgs::msg::StopFactor stop_factor; + stop_factor.stop_pose = path->points.at(stop_line_idx).point.pose; + planning_utils::appendStopReason(stop_factor, stop_reason); + velocity_factor->set( + path->points, path->points.at(decision_result.closest_idx).point.pose, + path->points.at(stop_line_idx).point.pose, VelocityFactor::INTERSECTION); + } + } + if (!rtc_occlusion_approved && decision_result.temporal_stop_before_attention_required) { + const auto stop_line_idx = decision_result.first_attention_area_stop_line_idx; + planning_utils::setVelocityFromIndex(stop_line_idx, 0.0, path); + debug_data->occlusion_stop_wall_pose = + planning_utils::getAheadPose(stop_line_idx, baselink2front, *path); + { + tier4_planning_msgs::msg::StopFactor stop_factor; + stop_factor.stop_pose = path->points.at(stop_line_idx).point.pose; + planning_utils::appendStopReason(stop_factor, stop_reason); + velocity_factor->set( + path->points, path->points.at(decision_result.closest_idx).point.pose, + path->points.at(stop_line_idx).point.pose, VelocityFactor::INTERSECTION); + } + } + if (!rtc_occlusion_approved && !decision_result.temporal_stop_before_attention_required) { + const auto closest_idx = decision_result.closest_idx; + const auto peeking_limit_line = decision_result.peeking_limit_line_idx; + for (auto i = closest_idx; i <= peeking_limit_line; ++i) { + planning_utils::setVelocityFromIndex( + i, planner_param.occlusion.absence_traffic_light.creep_velocity, path); + } + debug_data->absence_traffic_light_creep_wall = + planning_utils::getAheadPose(closest_idx, baselink2front, *path); + } + return; +} + template <> void reactRTCApprovalByDecisionResult( const bool rtc_default_approved, const bool rtc_occlusion_approved, @@ -675,7 +747,8 @@ void reactRTCApproval( static std::string formatDecisionResult(const IntersectionModule::DecisionResult & decision_result) { if (std::holds_alternative(decision_result)) { - return "Indecisive"; + const auto indecisive = std::get(decision_result); + return "Indecisive because " + indecisive.error; } if (std::holds_alternative(decision_result)) { return "Safe"; @@ -695,6 +768,9 @@ static std::string formatDecisionResult(const IntersectionModule::DecisionResult if (std::holds_alternative(decision_result)) { return "OccludedCollisionStop"; } + if (std::holds_alternative(decision_result)) { + return "OccludedAbsenceTrafficLight"; + } if (std::holds_alternative(decision_result)) { return "TrafficLightArrowSolidOn"; } @@ -747,15 +823,15 @@ IntersectionModule::DecisionResult IntersectionModule::modifyPathVelocityDetail( const auto interpolated_path_info_opt = util::generateInterpolatedPath( lane_id_, associative_ids_, *path, planner_param_.common.path_interpolation_ds, logger_); if (!interpolated_path_info_opt) { - RCLCPP_DEBUG(logger_, "splineInterpolate failed"); - return IntersectionModule::Indecisive{}; + return IntersectionModule::Indecisive{"splineInterpolate failed"}; } const auto & interpolated_path_info = interpolated_path_info_opt.value(); if (!interpolated_path_info.lane_id_interval) { - RCLCPP_WARN(logger_, "Path has no interval on intersection lane %ld", lane_id_); - return IntersectionModule::Indecisive{}; + return IntersectionModule::Indecisive{ + "Path has no interval on intersection lane " + std::to_string(lane_id_)}; } + // cache intersection lane information because it is invariant const auto & current_pose = planner_data_->current_odometry->pose; const auto lanelets_on_path = planning_utils::getLaneletsOnPath(*path, lanelet_map_ptr, current_pose); @@ -766,30 +842,40 @@ IntersectionModule::DecisionResult IntersectionModule::modifyPathVelocityDetail( planner_param_.occlusion.occlusion_attention_area_length, planner_param_.common.consider_wrong_direction_vehicle); } + auto & intersection_lanelets = intersection_lanelets_.value(); + + // at the very first time of registration of this module, the path may not be conflicting with the + // attention area, so update() is called to update the internal data as well as traffic light info const auto traffic_prioritized_level = util::getTrafficPrioritizedLevel(assigned_lanelet, planner_data_->traffic_light_id_map); const bool is_prioritized = traffic_prioritized_level == util::TrafficPrioritizedLevel::FULLY_PRIORITIZED; - intersection_lanelets_.value().update(is_prioritized, interpolated_path_info); + intersection_lanelets.update(is_prioritized, interpolated_path_info); - const auto & conflicting_lanelets = intersection_lanelets_.value().conflicting(); - const auto & first_conflicting_area_opt = intersection_lanelets_.value().first_conflicting_area(); + // this is abnormal + const auto & conflicting_lanelets = intersection_lanelets.conflicting(); + const auto & first_conflicting_area_opt = intersection_lanelets.first_conflicting_area(); if (conflicting_lanelets.empty() || !first_conflicting_area_opt) { - RCLCPP_DEBUG(logger_, "conflicting area is empty"); - return IntersectionModule::Indecisive{}; + return IntersectionModule::Indecisive{"conflicting area is empty"}; } const auto first_conflicting_area = first_conflicting_area_opt.value(); - const auto & first_attention_area_opt = intersection_lanelets_.value().first_attention_area(); + // generate all stop line candidates + // see the doc for struct IntersectionStopLines + const auto & first_attention_area_opt = intersection_lanelets.first_attention_area(); + /// even if the attention area is null, stuck vehicle stop line needs to be generated from + /// conflicting lanes const auto & dummy_first_attention_area = first_attention_area_opt ? first_attention_area_opt.value() : first_conflicting_area; + const double peeking_offset = + has_traffic_light_ ? planner_param_.occlusion.peeking_offset + : planner_param_.occlusion.absence_traffic_light.maximum_peeking_distance; const auto intersection_stop_lines_opt = util::generateIntersectionStopLines( first_conflicting_area, dummy_first_attention_area, planner_data_, interpolated_path_info, planner_param_.stuck_vehicle.use_stuck_stopline, planner_param_.common.stop_line_margin, - planner_param_.occlusion.peeking_offset, path); + peeking_offset, path); if (!intersection_stop_lines_opt) { - RCLCPP_DEBUG(logger_, "failed to generate intersection_stop_lines"); - return IntersectionModule::Indecisive{}; + return IntersectionModule::Indecisive{"failed to generate intersection_stop_lines"}; } const auto & intersection_stop_lines = intersection_stop_lines_opt.value(); const auto @@ -797,38 +883,49 @@ IntersectionModule::DecisionResult IntersectionModule::modifyPathVelocityDetail( first_attention_stop_line_idx_opt, occlusion_peeking_stop_line_idx_opt, pass_judge_line_idx] = intersection_stop_lines; - const auto & conflicting_area = intersection_lanelets_.value().conflicting_area(); + // see the doc for struct PathLanelets + const auto & conflicting_area = intersection_lanelets.conflicting_area(); const auto path_lanelets_opt = util::generatePathLanelets( lanelets_on_path, interpolated_path_info, associative_ids_, first_conflicting_area, - conflicting_area, first_attention_area_opt, intersection_lanelets_.value().attention_area(), - closest_idx, planner_data_->vehicle_info_.vehicle_width_m); + conflicting_area, first_attention_area_opt, intersection_lanelets.attention_area(), closest_idx, + planner_data_->vehicle_info_.vehicle_width_m); if (!path_lanelets_opt.has_value()) { - RCLCPP_DEBUG(logger_, "failed to generate PathLanelets"); - return IntersectionModule::Indecisive{}; + return IntersectionModule::Indecisive{"failed to generate PathLanelets"}; } const auto path_lanelets = path_lanelets_opt.value(); - const bool stuck_detected = checkStuckVehicle(planner_data_, path_lanelets); + // utility functions + auto fromEgoDist = [&](const size_t index) { + return motion_utils::calcSignedArcLength(path->points, closest_idx, index); + }; + auto stoppedForDuration = + [&](const size_t pos, const double duration, StateMachine & state_machine) { + const double dist_stopline = fromEgoDist(pos); + const bool approached_dist_stopline = + (std::fabs(dist_stopline) < planner_param_.common.stop_overshoot_margin); + const bool over_stopline = (dist_stopline < 0.0); + const bool is_stopped_duration = planner_data_->isVehicleStopped(duration); + if (over_stopline) { + state_machine.setState(StateMachine::State::GO); + } else if (is_stopped_duration && approached_dist_stopline) { + state_machine.setState(StateMachine::State::GO); + } + return state_machine.getState() == StateMachine::State::GO; + }; + // stuck vehicle detection is viable even if attention area is empty + // so this needs to be checked before attention area validation + const bool stuck_detected = checkStuckVehicle(planner_data_, path_lanelets); if (stuck_detected && stuck_stop_line_idx_opt) { auto stuck_stop_line_idx = stuck_stop_line_idx_opt.value(); - const double dist_stopline = motion_utils::calcSignedArcLength( - path->points, path->points.at(closest_idx).point.pose.position, - path->points.at(stuck_stop_line_idx).point.pose.position); - const bool approached_stop_line = - (std::fabs(dist_stopline) < planner_param_.common.stop_overshoot_margin); - const bool is_stopped = planner_data_->isVehicleStopped(); - if (is_stopped && approached_stop_line) { - stuck_private_area_timeout_.setStateWithMarginTime( - StateMachine::State::GO, logger_.get_child("stuck_private_area_timeout"), *clock_); - } - const bool timeout = - (is_private_area_ && stuck_private_area_timeout_.getState() == StateMachine::State::GO); + const bool stopped_at_stuck_line = stoppedForDuration( + stuck_stop_line_idx, planner_param_.stuck_vehicle.timeout_private_area, + stuck_private_area_timeout_); + const bool timeout = (is_private_area_ && stopped_at_stuck_line); if (!timeout) { if ( default_stop_line_idx_opt && - motion_utils::calcSignedArcLength(path->points, stuck_stop_line_idx, closest_idx) > - planner_param_.common.stop_overshoot_margin) { + fromEgoDist(stuck_stop_line_idx) < -planner_param_.common.stop_overshoot_margin) { stuck_stop_line_idx = default_stop_line_idx_opt.value(); } return IntersectionModule::StuckStop{ @@ -836,15 +933,16 @@ IntersectionModule::DecisionResult IntersectionModule::modifyPathVelocityDetail( } } + // if attention area is empty, collision/occlusion detection is impossible if (!first_attention_area_opt) { - RCLCPP_DEBUG(logger_, "attention area is empty"); - return IntersectionModule::Indecisive{}; + return IntersectionModule::Indecisive{"attention area is empty"}; } const auto first_attention_area = first_attention_area_opt.value(); + // if attention area is not null but default stop line is not available, ego/backward-path has + // already passed the stop line if (!default_stop_line_idx_opt) { - RCLCPP_DEBUG(logger_, "default stop line is null"); - return IntersectionModule::Indecisive{}; + return IntersectionModule::Indecisive{"default stop line is null"}; } const auto default_stop_line_idx = default_stop_line_idx_opt.value(); @@ -873,25 +971,25 @@ IntersectionModule::DecisionResult IntersectionModule::modifyPathVelocityDetail( // is_go_out_: previous RTC approval // activated_: current RTC approval is_permanent_go_ = true; - RCLCPP_DEBUG(logger_, "over the pass judge line. no plan needed."); - return IntersectionModule::Indecisive{}; + return IntersectionModule::Indecisive{"over the pass judge line. no plan needed"}; } + // occlusion stop line is generated from the intersection of ego footprint along the path with the + // attention area, so if this is null, eog has already passed the intersection if (!first_attention_stop_line_idx_opt || !occlusion_peeking_stop_line_idx_opt) { - RCLCPP_DEBUG(logger_, "occlusion stop line is null"); - return IntersectionModule::Indecisive{}; + return IntersectionModule::Indecisive{"occlusion stop line is null"}; } const auto collision_stop_line_idx = is_over_default_stop_line ? closest_idx : default_stop_line_idx; const auto first_attention_stop_line_idx = first_attention_stop_line_idx_opt.value(); const auto occlusion_stop_line_idx = occlusion_peeking_stop_line_idx_opt.value(); - const auto & attention_lanelets = intersection_lanelets_.value().attention(); - const auto & adjacent_lanelets = intersection_lanelets_.value().adjacent(); - const auto & occlusion_attention_lanelets = intersection_lanelets_.value().occlusion_attention(); - const auto & occlusion_attention_area = intersection_lanelets_.value().occlusion_attention_area(); - debug_data_.attention_area = intersection_lanelets_.value().attention_area(); - debug_data_.adjacent_area = intersection_lanelets_.value().adjacent_area(); + const auto & attention_lanelets = intersection_lanelets.attention(); + const auto & adjacent_lanelets = intersection_lanelets.adjacent(); + const auto & occlusion_attention_lanelets = intersection_lanelets.occlusion_attention(); + const auto & occlusion_attention_area = intersection_lanelets.occlusion_attention_area(); + debug_data_.attention_area = intersection_lanelets.attention_area(); + debug_data_.adjacent_area = intersection_lanelets.adjacent_area(); // get intersection area const auto intersection_area = planner_param_.common.use_intersection_area @@ -902,17 +1000,17 @@ IntersectionModule::DecisionResult IntersectionModule::modifyPathVelocityDetail( debug_data_.intersection_area = toGeomPoly(intersection_area_2d); } - // calculate dynamic collision around detection area - const double time_delay = (is_go_out_ || is_prioritized) - ? 0.0 - : (planner_param_.collision_detection.state_transit_margin_time - - collision_state_machine_.getDuration()); + // calculate dynamic collision around attention area + const double time_to_restart = (is_go_out_ || is_prioritized) + ? 0.0 + : (planner_param_.collision_detection.state_transit_margin_time - + collision_state_machine_.getDuration()); const auto target_objects = filterTargetObjects(attention_lanelets, adjacent_lanelets, intersection_area); const bool has_collision = checkCollision( *path, target_objects, path_lanelets, closest_idx, - std::min(occlusion_stop_line_idx, path->points.size() - 1), time_delay, + std::min(occlusion_stop_line_idx, path->points.size() - 1), time_to_restart, traffic_prioritized_level); collision_state_machine_.setStateWithMarginTime( has_collision ? StateMachine::State::STOP : StateMachine::State::GO, @@ -959,74 +1057,63 @@ IntersectionModule::DecisionResult IntersectionModule::modifyPathVelocityDetail( const bool is_occlusion_cleared_with_margin = (occlusion_stop_state_machine_.getState() == StateMachine::State::GO); - // check safety + // distinguish if ego detected occlusion or RTC detects occlusion const bool ext_occlusion_requested = (is_occlusion_cleared_with_margin && !occlusion_activated_); - if ( - occlusion_stop_state_machine_.getState() == StateMachine::State::STOP || - ext_occlusion_requested) { - const double dist_default_stopline = motion_utils::calcSignedArcLength( - path->points, path->points.at(closest_idx).point.pose.position, - path->points.at(default_stop_line_idx).point.pose.position); - const bool approached_default_stop_line = - (std::fabs(dist_default_stopline) < planner_param_.common.stop_overshoot_margin); - const bool over_default_stop_line = (dist_default_stopline < 0.0); - const bool is_stopped_at_default = - planner_data_->isVehicleStopped(planner_param_.occlusion.before_creep_stop_time); - if (over_default_stop_line) { - before_creep_state_machine_.setState(StateMachine::State::GO); - } - if (before_creep_state_machine_.getState() == StateMachine::State::GO) { - const double dist_first_attention_stopline = motion_utils::calcSignedArcLength( - path->points, path->points.at(closest_idx).point.pose.position, - path->points.at(first_attention_stop_line_idx).point.pose.position); - const bool approached_first_attention_stop_line = - (std::fabs(dist_first_attention_stopline) < planner_param_.common.stop_overshoot_margin); - const bool over_first_attention_stop_line = (dist_first_attention_stopline < 0.0); - const bool is_stopped_at_first_attention = - planner_data_->isVehicleStopped(planner_param_.occlusion.before_creep_stop_time); - if (planner_param_.occlusion.temporal_stop_before_attention_area) { - if (over_first_attention_stop_line) { - temporal_stop_before_attention_state_machine_.setState(StateMachine::State::GO); - } - if (is_stopped_at_first_attention && approached_first_attention_stop_line) { - temporal_stop_before_attention_state_machine_.setState(StateMachine::State::GO); - } - } - const bool temporal_stop_before_attention_required = - planner_param_.occlusion.temporal_stop_before_attention_area && - temporal_stop_before_attention_state_machine_.getState() == StateMachine::State::STOP; - if (has_collision_with_margin) { - return IntersectionModule::OccludedCollisionStop{is_occlusion_cleared_with_margin, - temporal_stop_before_attention_required, - closest_idx, - collision_stop_line_idx, - first_attention_stop_line_idx, - occlusion_stop_line_idx}; - } else { - return IntersectionModule::PeekingTowardOcclusion{is_occlusion_cleared_with_margin, - temporal_stop_before_attention_required, - closest_idx, - collision_stop_line_idx, - first_attention_stop_line_idx, - occlusion_stop_line_idx}; + const bool is_occlusion_state = (!is_occlusion_cleared_with_margin || ext_occlusion_requested); + // Safe + if (!is_occlusion_state && !has_collision_with_margin) { + return IntersectionModule::Safe{closest_idx, collision_stop_line_idx, occlusion_stop_line_idx}; + } + // Only collision + if (!is_occlusion_state && has_collision_with_margin) { + return IntersectionModule::NonOccludedCollisionStop{ + closest_idx, collision_stop_line_idx, occlusion_stop_line_idx}; + } + // Occluded + const bool stopped_at_default_line = stoppedForDuration( + default_stop_line_idx, planner_param_.occlusion.before_creep_stop_time, + before_creep_state_machine_); + if (stopped_at_default_line) { + // in this case ego will temporarily stop before entering attention area + const bool temporal_stop_before_attention_required = + (planner_param_.occlusion.temporal_stop_before_attention_area || !has_traffic_light_) + ? !stoppedForDuration( + first_attention_stop_line_idx, planner_param_.occlusion.before_creep_stop_time, + temporal_stop_before_attention_state_machine_) + : false; + if (!has_traffic_light_) { + if (fromEgoDist(first_attention_stop_line_idx) <= -peeking_offset) { + return IntersectionModule::Indecisive{ + "already passed maximum peeking line in the absence of traffic light"}; } + return IntersectionModule::OccludedAbsenceTrafficLight{ + is_occlusion_cleared_with_margin, has_collision_with_margin, + temporal_stop_before_attention_required, closest_idx, + first_attention_stop_line_idx, occlusion_stop_line_idx}; + } + if (has_collision_with_margin) { + return IntersectionModule::OccludedCollisionStop{is_occlusion_cleared_with_margin, + temporal_stop_before_attention_required, + closest_idx, + collision_stop_line_idx, + first_attention_stop_line_idx, + occlusion_stop_line_idx}; } else { - if (is_stopped_at_default && approached_default_stop_line) { - // start waiting at the first stop line - before_creep_state_machine_.setState(StateMachine::State::GO); - } - const auto occlusion_stop_line = planner_param_.occlusion.temporal_stop_before_attention_area - ? first_attention_stop_line_idx - : occlusion_stop_line_idx; - return IntersectionModule::FirstWaitBeforeOcclusion{ - is_occlusion_cleared_with_margin, closest_idx, default_stop_line_idx, occlusion_stop_line}; + return IntersectionModule::PeekingTowardOcclusion{is_occlusion_cleared_with_margin, + temporal_stop_before_attention_required, + closest_idx, + collision_stop_line_idx, + first_attention_stop_line_idx, + occlusion_stop_line_idx}; } - } else if (has_collision_with_margin) { - return IntersectionModule::NonOccludedCollisionStop{ - closest_idx, collision_stop_line_idx, occlusion_stop_line_idx}; + } else { + const auto occlusion_stop_line = + (planner_param_.occlusion.temporal_stop_before_attention_area || !has_traffic_light_) + ? first_attention_stop_line_idx + : occlusion_stop_line_idx; + return IntersectionModule::FirstWaitBeforeOcclusion{ + is_occlusion_cleared_with_margin, closest_idx, default_stop_line_idx, occlusion_stop_line}; } - - return IntersectionModule::Safe{closest_idx, collision_stop_line_idx, occlusion_stop_line_idx}; } bool IntersectionModule::checkStuckVehicle( diff --git a/planning/behavior_velocity_intersection_module/src/scene_intersection.hpp b/planning/behavior_velocity_intersection_module/src/scene_intersection.hpp index 550b23aa17606..7bd923ed6198c 100644 --- a/planning/behavior_velocity_intersection_module/src/scene_intersection.hpp +++ b/planning/behavior_velocity_intersection_module/src/scene_intersection.hpp @@ -18,9 +18,7 @@ #include "util_type.hpp" #include -#include #include -#include #include #include @@ -116,10 +114,18 @@ class IntersectionModule : public SceneModuleInterface double ignore_parked_vehicle_speed_threshold; double stop_release_margin_time; bool temporal_stop_before_attention_area; + struct AbsenceTrafficLight + { + double creep_velocity; + double maximum_peeking_distance; + } absence_traffic_light; } occlusion; }; - using Indecisive = std::monostate; + struct Indecisive + { + std::string error; + }; struct StuckStop { size_t closest_idx{0}; @@ -159,6 +165,15 @@ class IntersectionModule : public SceneModuleInterface size_t first_attention_stop_line_idx{0}; size_t occlusion_stop_line_idx{0}; }; + struct OccludedAbsenceTrafficLight + { + bool is_actually_occlusion_cleared{false}; + bool collision_detected{false}; + bool temporal_stop_before_attention_required{false}; + size_t closest_idx{0}; + size_t first_attention_area_stop_line_idx{0}; + size_t peeking_limit_line_idx{0}; + }; struct Safe { // NOTE: if RTC is disapproved status, default stop lines are still needed. @@ -174,20 +189,22 @@ class IntersectionModule : public SceneModuleInterface size_t occlusion_stop_line_idx{0}; }; using DecisionResult = std::variant< - Indecisive, // internal process error, or over the pass judge line - StuckStop, // detected stuck vehicle - NonOccludedCollisionStop, // detected collision while FOV is clear - FirstWaitBeforeOcclusion, // stop for a while before peeking to occlusion - PeekingTowardOcclusion, // peeking into occlusion while collision is not detected - OccludedCollisionStop, // occlusion and collision are both detected - Safe, // judge as safe - TrafficLightArrowSolidOn // only detect vehicles violating traffic rules + Indecisive, // internal process error, or over the pass judge line + StuckStop, // detected stuck vehicle + NonOccludedCollisionStop, // detected collision while FOV is clear + FirstWaitBeforeOcclusion, // stop for a while before peeking to occlusion + PeekingTowardOcclusion, // peeking into occlusion while collision is not detected + OccludedCollisionStop, // occlusion and collision are both detected + OccludedAbsenceTrafficLight, // occlusion is detected in the absence of traffic light + Safe, // judge as safe + TrafficLightArrowSolidOn // only detect vehicles violating traffic rules >; IntersectionModule( const int64_t module_id, const int64_t lane_id, std::shared_ptr planner_data, const PlannerParam & planner_param, const std::set & associative_ids, - const bool is_private_area, const bool enable_occlusion_detection, rclcpp::Node & node, + const std::string & turn_direction, const bool has_traffic_light, + const bool enable_occlusion_detection, const bool is_private_area, rclcpp::Node & node, const rclcpp::Logger logger, const rclcpp::Clock::SharedPtr clock); /** @@ -211,7 +228,8 @@ class IntersectionModule : public SceneModuleInterface rclcpp::Node & node_; const int64_t lane_id_; const std::set associative_ids_; - std::string turn_direction_; + const std::string turn_direction_; + const bool has_traffic_light_; bool is_go_out_ = false; bool is_permanent_go_ = false; @@ -230,6 +248,7 @@ class IntersectionModule : public SceneModuleInterface StateMachine before_creep_state_machine_; //! for two phase stop StateMachine occlusion_stop_state_machine_; StateMachine temporal_stop_before_attention_state_machine_; + // NOTE: uuid_ is base member // for stuck vehicle detection diff --git a/planning/behavior_velocity_intersection_module/src/util.cpp b/planning/behavior_velocity_intersection_module/src/util.cpp index 37dc83cbdf761..f381925b13208 100644 --- a/planning/behavior_velocity_intersection_module/src/util.cpp +++ b/planning/behavior_velocity_intersection_module/src/util.cpp @@ -16,10 +16,10 @@ #include "util_type.hpp" +#include #include #include #include -#include #include #include #include diff --git a/planning/behavior_velocity_intersection_module/src/util.hpp b/planning/behavior_velocity_intersection_module/src/util.hpp index 7ba894bd9d32a..6acc1d60443bf 100644 --- a/planning/behavior_velocity_intersection_module/src/util.hpp +++ b/planning/behavior_velocity_intersection_module/src/util.hpp @@ -20,14 +20,6 @@ #include -#include - -#ifdef ROS_DISTRO_GALACTIC -#include -#else -#include -#endif - #include #include #include diff --git a/planning/behavior_velocity_intersection_module/src/util_type.hpp b/planning/behavior_velocity_intersection_module/src/util_type.hpp index 7e5bff89485ed..5c188f4aebebf 100644 --- a/planning/behavior_velocity_intersection_module/src/util_type.hpp +++ b/planning/behavior_velocity_intersection_module/src/util_type.hpp @@ -51,6 +51,7 @@ struct DebugData std::optional> nearest_occlusion_projection{std::nullopt}; autoware_auto_perception_msgs::msg::PredictedObjects blocking_attention_objects; + std::optional absence_traffic_light_creep_wall{std::nullopt}; }; struct InterpolatedPathInfo