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Minimum code needed to run Autoware multi-object tracking

CMake 1.34% C++ 98.66%
point cloud segmentation object-tracking point-cloud-segmentation autoware autoware-tracking

autoware_tracker's Introduction

Readme

Barebone package for point cloud object tracking used in Autoware. The package is only tested in Ubuntu 16.04 and ROS Kinetic. No deep learning is used.

Install JSK

sudo apt-get install ros-kinetic-jsk-recognition-msgs
sudo apt-get install ros-kinetic-jsk-rviz-plugins

Compile

cd ~/catkin_ws/src
git clone https://github.com/TixiaoShan/autoware_tracker.git
cd ~/catkin_ws
catkin_make -j1

-j1 is only needed for message generation in the first install.

Sample data

In case you don't have some bag files handy, you can download a sample bag using:

wget https://autoware-ai.s3.us-east-2.amazonaws.com/sample_moriyama_150324.tar.gz

Demo

Run the autoware tracker:

roslaunch autoware_tracker run.launch

Play the sample ros bag:

rosbag play sample_moriyama_150324.bag

drawing

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