DocumentCode
2486601
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
fYear
0
fDate
0-0 0
Firstpage
400
Lastpage
405
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Vehicles Symposium, 2006 IEEE
Conference_Location
Tokyo
Print_ISBN
4-901122-86-X
Type
conf
DOI
10.1109/IVS.2006.1689661
Filename
1689661
Link To Document