Name
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 demonstration presents set-up, functionality and results of multi-sensor multi-target tracking based on particle filtering. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/VETECF.2008.463 | Calgary, BC |
Keywords | Field | DocType |
adaptive control,mobile communication,particle filtering (numerical methods),sensor fusion,target tracking,traffic control,V2V communications,automotive multisensor multitarget tracking,camera,driver assistance systems,in-vehicle based target tracking,lidar,line-of-sight,particle filtering,predictive collision avoidance,radar,situation-aware adaptive cruise control,vehicle-2-vehicle communications | Radar,Radar tracker,Cruise control,Computer science,Situation awareness,Advanced driver assistance systems,Tracking system,Sensor fusion,Real-time computing,Control engineering,Electronic engineering,Automotive industry | Conference |
ISSN | ISBN | Citations |
1090-3038 E-ISBN : 978-1-4244-1722-3 | 978-1-4244-1722-3 | 0 |
PageRank | References | Authors |
0.34 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matthias Röckl | 1 | 80 | 7.62 |
| Thomas Strang | 2 | 272 | 37.76 |
| Matthias Kranz | 3 | 442 | 37.93 |