Towards a comprehensive package for roadside vehicle tracking.
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This project is a ROS2 implementation of a tracking algorithm that can detect and track vehicles on a pressure-sensitive road surface. We developed this approach as a proof of concept in our paper [1], demonstrating that the road surface itself can be used as a data source for vehicle localization. In addition to the algorithm, the package also provides a visualization tool.
This tool is built with the colcon command line interface like any other ROS2 package. Instructions are found here.
The tracking pipeline needs a topic of type OccupancyGridMap. An example of a launch file can be found in the package ssl_vehicle_tracking. The provided RVIZ packages are automatically detected.
Distributed under the MIT License. See LICENSE.txt
for more information.
We acknowledge the financial support for this project by the Collaborative Research Center / Transregio 339 of the German Research Foundation (DFG).
- [1] S. Schäfer, H. Steidl, S. Kowalewski and B. Alrifaee, "Investigating a Pressure Sensitive Surface Layer for Vehicle Localization," 2023 IEEE Intelligent Vehicles Symposium (IV), Anchorage, AK, USA, 2023, pp. 1-6, doi: 10.1109/IV55152.2023.10186582.