DocumentCode
1940882
Title
Monte Carlo road safety reasoning
Author
Broadhurst, Adrian ; Baker, Simon ; Kanade, Takeo
Author_Institution
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear
2005
fDate
6-8 June 2005
Firstpage
319
Lastpage
324
Abstract
This paper presents a framework for reasoning about the future motion of multiple objects in a road scene. Unlike previous approaches, we do not look for known dangerous configurations of objects, but rather we reason about the future paths of all objects in the scene, and assess their danger. Monte Carlo path planning is used to generate a probability distribution for the possible future motion of every car in the scene. This framework can be used to either control the car, or to display warnings for the driver.
Keywords
Monte Carlo methods; object detection; path planning; probability; road safety; road traffic; road vehicles; Monte Carlo path planning; Monte Carlo road safety reasoning; car control; probability distribution; Humans; Laser radar; Layout; Monte Carlo methods; Path planning; Probability distribution; Road accidents; Road safety; Robots; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Vehicles Symposium, 2005. Proceedings. IEEE
Print_ISBN
0-7803-8961-1
Type
conf
DOI
10.1109/IVS.2005.1505122
Filename
1505122
Link To Document