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feat(map): add pointcloud divider and pointcloud merger (#100)
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* Added point cloud merger

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---------

Signed-off-by: Anh Nguyen <[email protected]>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Yamato Ando <[email protected]>
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37 changes: 37 additions & 0 deletions map/autoware_pointcloud_divider/CMakeLists.txt
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cmake_minimum_required(VERSION 3.14)
project(autoware_pointcloud_divider)

find_package(autoware_cmake REQUIRED)
autoware_package()
ament_auto_find_build_dependencies()

# Enable support for C++17
if (${CMAKE_VERSION} VERSION_LESS "3.1.0")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++17")
else ()
set(CMAKE_CXX_STANDARD 17)
endif ()

# Find packages
find_package(yaml-cpp REQUIRED)
find_package(PCL REQUIRED COMPONENTS common io filters)

include_directories(include)

# Add divider library
ament_auto_add_library(${PROJECT_NAME} SHARED src/pointcloud_divider_node.cpp src/voxel_grid_filter.cpp src/pcd_divider.cpp)
target_link_libraries(${PROJECT_NAME} yaml-cpp ${PCL_LIBRARIES})
rclcpp_components_register_node(${PROJECT_NAME}
PLUGIN "autoware::pointcloud_divider::PointCloudDivider"
EXECUTABLE ${PROJECT_NAME}_node
)

install(TARGETS ${PROJECT_NAME}
EXPORT ${PROJECT_NAME}
RUNTIME DESTINATION bin
ARCHIVE DESTINATION lib
LIBRARY DESTINATION lib
INCLUDES DESTINATION include
)

ament_auto_package(INSTALL_TO_SHARE launch config)
28 changes: 28 additions & 0 deletions map/autoware_pointcloud_divider/LICENSE
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BSD 3-Clause License

Copyright (c) 2023, MAP IV

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.

3. Neither the name of the copyright holder nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
100 changes: 100 additions & 0 deletions map/autoware_pointcloud_divider/README.md
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# autoware_pointcloud_divider

This is a tool for processing pcd files, and it can perform the following functions:

- Dividing point clouds
- Downsampling point clouds
- Generating metadata to efficiently handle the divided point clouds

## Supported Data Format

**Currently, only `pcl::PointXYZ` and `pcl::PointXYZI` are supported. Any PCD will be loaded as those two types.**

This tool can be used with files that have data fields other than `XYZI` (e.g., `XYZRGB`) and files that only contain `XYZ`.

- Data fields other than `XYZI` are ignored during loading.
- When loading `XYZ`-only data, the `intensity` field is assigned 0.

## Installation

```bash
cd <PATH_TO_pilot-auto.*> # OR <PATH_TO_autoware>
cd src/
git clone [email protected]:autowarefoundation/autoware_tools.git
cd ..
colcon build --cmake-args -DCMAKE_BUILD_TYPE=Release --catkin-skip-building-tests --symlink-install --packages-up-to autoware_pointcloud_divider
```

## Usage

- Select directory, process all files found with `find $INPUT_DIR -name "*.pcd"`.

```bash
ros2 launch autoware_pointcloud_divider pointcloud_divider.launch.xml input_pcd_or_dir:=<INPUT_DIR> output_pcd_dir:=<OUTPUT_DIR> prefix:=<PREFIX>
```

| Name | Description |
| ---------- | ------------------------------------- |
| INPUT_DIR | Directory that contains all PCD files |
| OUTPUT_DIR | Output directory name |
| PREFIX | Prefix of output PCD file name |

`INPUT_DIR` and `OUTPUT_DIR` should be specified as **absolute paths**.

NOTE: The folder `OUTPUT_DIR` is auto generated. If it already exists, all files within that folder will be deleted before the tool runs. Hence, users should backup the important files in that folder if necessary.

### Parameters

{{ json_to_markdown("map/autoware_pointcloud_divider/schema/pointcloud_divider.schema.json") }}

How the point cloud is processed.

![node_diagram](docs/pcd_divider.drawio.svg)

How the PCD file is named

![node_diagram](docs/output_file_name_pattern.drawio.svg)

### Parameter example

1. Dividing point clouds without downsampling

```yaml
use_large_grid: false
leaf_size: -1.0 # any negative number
grid_size_x: 20
grid_size_y: 20
```
2. Dividing and downsampling point clouds
```yaml
use_large_grid: false
leaf_size: 0.2
grid_size_x: 20
grid_size_y: 20
```
## Metadata YAML Format
The metadata file should be named `metadata.yaml`. It contains the following fields:

- `x_resolution`: The resolution along the X-axis.
- `y_resolution`: The resolution along the Y-axis.

Additionally, the file contains entries for individual point cloud files (`.pcd` files) and their corresponding grid coordinates. The key is the file name, and the value is a list containing the X and Y coordinates of the lower-left corner of the grid cell associated with that file. The grid cell's boundaries can be calculated using the `x_resolution` and `y_resolution` values.

For example:

```yaml
x_resolution: 100.0
y_resolution: 150.0
A.pcd: [1200, 2500] # -> 1200 <= x <= 1300, 2500 <= y <= 2650
B.pcd: [1300, 2500] # -> 1300 <= x <= 1400, 2500 <= y <= 2650
C.pcd: [1200, 2650] # -> 1200 <= x <= 1300, 2650 <= y <= 2800
D.pcd: [1400, 2650] # -> 1400 <= x <= 1500, 2650 <= y <= 2800
```

## LICENSE

Parts of files grid_info.hpp, pcd_divider.hpp, and pcd_divider.cpp are copied from [MapIV's pointcloud_divider](https://github.com/MapIV/pointcloud_divider) and are under [BSD-3-Clauses](LICENSE) license. The remaining code are under [Apache License 2.0](../../LICENSE)
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/**:
ros__parameters:
use_large_grid: false
leaf_size: -0.1
grid_size_x: 20.0
grid_size_y: 20.0
input_pcd_or_dir: $(var input_pcd_or_dir) # Path to the folder containing the input PCD files
output_pcd_dir: $(var output_pcd_dir) # Path to the folder containing the segmented PCD files
prefix: $(var prefix) # Prefix for the name of the output PCD files
point_type: "point_xyzi"
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407 changes: 407 additions & 0 deletions map/autoware_pointcloud_divider/docs/pcd_divider.drawio.svg
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// Copyright 2024 Autoware Foundation
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

#ifndef AUTOWARE__POINTCLOUD_DIVIDER__CENTROID_HPP_
#define AUTOWARE__POINTCLOUD_DIVIDER__CENTROID_HPP_

#include "utility.hpp"

#include <pcl/point_types.h>

#include <iostream>

namespace autoware::pointcloud_divider
{

template <typename PointT>
void accumulate(const PointT & p, const PointT & first_p, PointT & acc_diff);
template <typename PointT>
void compute_centroid(
const PointT & acc_diff, const PointT & first_p, size_t point_num, PointT & centroid);

template <>
void accumulate(const pcl::PointXYZ & p, const pcl::PointXYZ & first_p, pcl::PointXYZ & acc_diff)
{
acc_diff.x += p.x - first_p.x;
acc_diff.y += p.y - first_p.y;
acc_diff.z += p.z - first_p.z;
}

template <>
void accumulate(const pcl::PointXYZI & p, const pcl::PointXYZI & first_p, pcl::PointXYZI & acc_diff)
{
acc_diff.x += p.x - first_p.x;
acc_diff.y += p.y - first_p.y;
acc_diff.z += p.z - first_p.z;
acc_diff.intensity += p.intensity - first_p.intensity;
}

template <>
void compute_centroid(
const pcl::PointXYZ & acc_diff, const pcl::PointXYZ & first_p, size_t point_num,
pcl::PointXYZ & centroid)
{
double double_point_num = static_cast<double>(point_num);

centroid.x = acc_diff.x / double_point_num + first_p.x;
centroid.y = acc_diff.y / double_point_num + first_p.y;
centroid.z = acc_diff.z / double_point_num + first_p.z;
}

template <>
void compute_centroid(
const pcl::PointXYZI & acc_diff, const pcl::PointXYZI & first_p, size_t point_num,
pcl::PointXYZI & centroid)
{
double double_point_num = static_cast<double>(point_num);

centroid.x = acc_diff.x / double_point_num + first_p.x;
centroid.y = acc_diff.y / double_point_num + first_p.y;
centroid.z = acc_diff.z / double_point_num + first_p.z;
centroid.intensity = acc_diff.intensity / double_point_num + first_p.intensity;
}

template <typename PointT>
struct Centroid
{
Centroid()
{
point_num_ = 0;
util::zero_point(acc_diff_);
util::zero_point(first_point_);
}

void add(const PointT & p)
{
if (point_num_ == 0) {
first_point_ = p;
} else {
accumulate(p, first_point_, acc_diff_);
}

++point_num_;
}

PointT get()
{
PointT centroid;

if (point_num_ > 0) {
compute_centroid(acc_diff_, first_point_, point_num_, centroid);
} else {
std::cerr << "Error: there is no point in the centroid group!" << std::endl;
exit(EXIT_FAILURE);
}

return centroid;
}

PointT acc_diff_, first_point_;
size_t point_num_;
};

} // namespace autoware::pointcloud_divider

#endif // AUTOWARE__POINTCLOUD_DIVIDER__CENTROID_HPP_
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