This package includes Ground Removal, Object Clustering, Bounding Box, IMM-UKF-JPDAF, Track Management and Object Classification for 3D-LIDAR multi object tracking. The idea is mainly come from this paper.
Make sure you have the following is installed:
- Download the Kitti Raw data.
wget http://kitti.is.tue.mpg.de/kitti/raw_data/2011_09_26_drive_0002/2011_09_26_drive_0005_sync.zip
wget http://kitti.is.tue.mpg.de/kitti/raw_data/2011_09_26_calib.zip
- Convert raw data to rosbag by using the tool made by tomas789. This is his repository.
PLEASE make sure you load the files, src/ego_velo.txt
and src/ego_yaw.txt
in src/imm_ukf_jpda.cpp
l68, l69
roscore
rosbag play kitti_2011_09_26_drive_0005_synced.bag
rviz
rosrun object_tracking main input:=/kitti/velo/pointcloud