Title :
Multiple Cue Data Fusion with Particle Filters for Road Course Detection in Vision Systems
Author :
Smuda, Peer ; Schweiger, Roland ; Neumann, Heiko ; Ritter, Werner
Author_Institution :
DaimlerChrysler, Ulm
Abstract :
In the following we present a robust, real time applicable fusion system for detection of the road course up to 100m. For that, using a particle filter we developed a robust and flexible system which fuses the information from a digital map system and different cues from an image sensor. In addition we present a new image based feature for road surface detection. The system works in realtime
Keywords :
image sensors; navigation; particle filtering (numerical methods); road vehicles; sensor fusion; digital map system; image features; image sensors; multiple cue data fusion; particle filters; real time fusion system; road course detection; road surface detection; vision system; Artificial intelligence; Machine vision; Night vision; Particle filters; Particle measurements; Roads; Robustness; Solid modeling; Surface fitting; Surface topography;
Conference_Titel :
Intelligent Vehicles Symposium, 2006 IEEE
Conference_Location :
Tokyo
Print_ISBN :
4-901122-86-X
DOI :
10.1109/IVS.2006.1689661
