Latest revision as of 20:19, 3 February 2021

Abstract

The early recognition of potentially harmful traffic situations is an important goal of vision based driver assistance systems. Pedestrians, in particular children, are highly endangered in inner city traffic. Within the DaimlerChrysler UTA (Urban Traffic Assistance) project, we are using stereo vision and motion analysis in order to manage those situations. The flow/depth constraint combines both methods in an elegant way and leads to a robust and powerful detection scheme.

Original document

The different versions of the original document can be found in:

• http://www.windpage.de/mediapool/32/326953/data/Obstacle_Detection_using_FlowDepth.pdf

• http://ieeexplore.ieee.org/iel5/8453/26633/01188026.pdf,

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=1188026&contentType=Conference+Publications,

https://academic.microsoft.com/#/detail/2124158516

• http://xplorestaging.ieee.org/ielx5/8453/26633/01188026.pdf?arnumber=1188026,

http://dx.doi.org/10.1109/ivs.2002.1188026