A Runtime-Efficient Multi-Object Tracking Approach for Automotive Perception Systems

László Lindenmaier, Balázs Czibere, Szilárd Aradi, Tamás Bécsi. A Runtime-Efficient Multi-Object Tracking Approach for Automotive Perception Systems. In 17th IEEE International Symposium on Applied Computational Intelligence and Informatics, SACI 2023, Timisoara, Romania, May 23-26, 2023. pages 785-792, IEEE, 2023. [doi]

@inproceedings{LindenmaierCAB23,
  title = {A Runtime-Efficient Multi-Object Tracking Approach for Automotive Perception Systems},
  author = {László Lindenmaier and Balázs Czibere and Szilárd Aradi and Tamás Bécsi},
  year = {2023},
  doi = {10.1109/SACI58269.2023.10158542},
  url = {https://doi.org/10.1109/SACI58269.2023.10158542},
  researchr = {https://researchr.org/publication/LindenmaierCAB23},
  cites = {0},
  citedby = {0},
  pages = {785-792},
  booktitle = {17th IEEE International Symposium on Applied Computational Intelligence and Informatics, SACI 2023, Timisoara, Romania, May 23-26, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-2110-4},
}