sudo apt install -y nlohmann-json3-devThis small toolset allows to integrate SLAM solution provided by resple with HDMapping. This repository contains ROS 2 workspace that :
- submodule to tested revision of RESPLE
- a converter that listens to topics advertised from odometry node and save data in format compatible with HDMapping.
Clone the repo
mkdir -p /test_ws/src
cd /test_ws/src
git clone https://github.com/marcinmatecki/resple-to-hdmapping.git --recursive
cd ..
colcon buildPrepare recorded bag with estimated odometry:
In first terminal record bag:
ros2 bag record /current_scan /odometryand start odometry:
cd /test_ws/
source ./install/setup.sh # adjust to used shell
ros2 launch resple resple_eee_02.launch.py
ros2 bag play cd /test_ws/
source ./install/setup.sh # adjust to used shell
ros2 run resple-to-hdmapping listener <recorded_bag> <output_dir>Download the dataset from NTU-VIRAL For this example, download eee_03.
rosbags-convert --src {your_downloaded_bag} --dst {desired_destination_for_the_converted_bag}ros2 bag record /current_scan /odometry -o {your_directory_for_the_recorded_bag}cd /test_ws/
source ./install/setup.sh # adjust to used shell
ros2 launch resple resple_eee_02.launch.py
ros2 bag play {path_to_bag}In the terminal where the ros record is, interrupt the recording by CTRL+C
Do it also in ros launch terminal by CTRL+C.cd /test_ws/
source ./install/setup.sh # adjust to used shell
ros2 run resple-to-hdmapping listener <recorded_bag> <output_dir>