V2V Communications in Automotive Multi-sensor Multi-target Tracking

Abstract

Today's automotive sensor systems for in-vehicle based target tracking, i.e. radar, lidar, camera, are limited to a field of view which is restricted by distance, angle and line-of-sight. Future driver assistance systems such as predictive collision avoidance or situation-aware adaptive cruise control require a more complete and accurate situation awareness in order to detect hazardous and inefficient situations in time. Therefore, we introduce multi-target tracking including vehicle-2-vehicle communications as a complementing sensor for future driver assistance systems. The paper presents first simulation results of our algorithm which show promising outcomes.

Original document

The different versions of the original document can be found in:

• https://elib.dlr.de/54346

• https://elib.dlr.de/54346/1/WiVeC08.pdf

• http://xplorestaging.ieee.org/ielx5/4656831/4656832/04657272.pdf?arnumber=4657272,

http://dx.doi.org/10.1109/vetecf.2008.440

• https://elib.dlr.de/54346/1/WiVeC08.pdf,

http://www.eislab.fim.uni-passau.de/files/publications/2008/V2VMultiSensor_preprint.pdf,

https://dblp.uni-trier.de/db/conf/vtc/vtc2008f.html#RocklSK08,

http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004657272,

https://elib.dlr.de/54346,

https://ieeexplore.ieee.org/document/4657272,

https://academic.microsoft.com/#/detail/2127133497