https://github.com/tixiaoshan/autoware_tracker
Minimum code needed to run Autoware multi-object tracking
https://github.com/tixiaoshan/autoware_tracker
autoware autoware-tracking cloud object-tracking point point-cloud-segmentation segmentation
Last synced: 5 months ago
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Minimum code needed to run Autoware multi-object tracking
- Host: GitHub
- URL: https://github.com/tixiaoshan/autoware_tracker
- Owner: TixiaoShan
- Created: 2020-05-12T15:14:00.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2020-05-26T21:08:28.000Z (almost 5 years ago)
- Last Synced: 2023-03-05T18:10:29.445Z (about 2 years ago)
- Topics: autoware, autoware-tracking, cloud, object-tracking, point, point-cloud-segmentation, segmentation
- Language: C++
- Homepage:
- Size: 21.6 MB
- Stars: 34
- Watchers: 5
- Forks: 21
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 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
```
