Demonstrator: V2V Communications in Automotive Multi-Sensor Multi-Target Tracking
Matthias Röckl, Thomas Strang, Matthias Kranz · 2008
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 demonstration presents set-up, functionality and results of multi-sensor multi-target tracking based on particle filtering.