From 1df16fa603e06ac71af30fb583cada11612298c8 Mon Sep 17 00:00:00 2001 From: Ismet Atabay <56237550+ismetatabay@users.noreply.github.com> Date: Thu, 12 Sep 2024 13:08:10 +0300 Subject: [PATCH] docs: add example robosense Bpearl launch (#605) * add example robosense Bpearl launch Signed-off-by: ismetatabay --- .../creating-sensor-model/index.md | 28 ++++++++++++++----- 1 file changed, 21 insertions(+), 7 deletions(-) diff --git a/docs/how-to-guides/integrating-autoware/creating-vehicle-and-sensor-model/creating-sensor-model/index.md b/docs/how-to-guides/integrating-autoware/creating-vehicle-and-sensor-model/creating-sensor-model/index.md index e0af1c400f3..90afb306dbf 100644 --- a/docs/how-to-guides/integrating-autoware/creating-vehicle-and-sensor-model/creating-sensor-model/index.md +++ b/docs/how-to-guides/integrating-autoware/creating-vehicle-and-sensor-model/creating-sensor-model/index.md @@ -474,11 +474,25 @@ but you need to update `sensor_id`, `data_port`, `sensor_frame` and other necess Please add similar launch groups according to your sensor architecture. For example, we use Robosense Lidars for our `tutorial_vehicle`, -so the lidar group for Robosense Lidar should be like this structure: +so the lidar group for Robosense Lidar (i.e., for Bpearl) should be like this structure: -!!! warning - - under construction +```xml + + + + + + + + + + + + + + + +``` If you are using a Hesai lidar (i.e. PandarQT64, please check [nebula](https://github.com/tier4/nebula) driver page for supported sensors), @@ -517,10 +531,10 @@ you can modify the pipeline components like this way: nodes.append( ComposableNode( - package="pointcloud_preprocessor", -- plugin="pointcloud_preprocessor::RingOutlierFilterComponent", + package="autoware_pointcloud_preprocessor", +- plugin="autoware::pointcloud_preprocessor::RingOutlierFilterComponent", - name="ring_outlier_filter", -+ plugin="pointcloud_preprocessor::DualReturnOutlierFilterComponent", ++ plugin="autoware::pointcloud_preprocessor::DualReturnOutlierFilterComponent", + name="dual_return_outlier_filter", remappings=[ ("input", "rectified/pointcloud_ex"),