@INPROCEEDINGS{conference13,
  author = {Matthias R\"ockl and Thomas Strang and Matthias Kranz},
  title = {Demonstrator: V2V Communications in Automotive Multi-sensor Multi-target
	Tracking},
  booktitle = {2nd IEEE International Symposium on Wireless Vehicular Communications},
  year = {2008},
  editor = { IEEE and VTS},
  month = {September},
  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 situationaware
	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 demonstration presents set-up, functionality
	and results of multi-sensor multi-target tracking based on particle
	filtering.},
  journal = {IEEE 68th Vehicular Technology Conference Proceedings},
  keywords = {Car2Car Communications, Vehicle2Vehicle Communications, V2V Communications,
	Driver Assistance, Multi Target Tracking, Multi Vehicle Tracking,
	Radar, Sensor Fusion, Situation Awareness, Particle Filter, State
	Estimation, Simulation},
  url = {http://elib.dlr.de/55460/}
}