DocumentCode :
1781283
Title :
Radar depth association with vision detected vehicles on a highway
Author :
Sikdar, Ankita ; Siyang Cao ; Zheng, Yuan F. ; Ewing, Robert L.
Author_Institution :
Comput. Sci. & Eng., Ohio State Univ., Columbus, OH, USA
fYear :
2014
fDate :
19-23 May 2014
Firstpage :
1159
Lastpage :
1164
Abstract :
No single sensor can independently predict the 3-D environment around us. A vision sensor helps locate objects in a 2-D plane. However, estimating distance using one vision sensor has a limitation. A single radar sensor returns the range of objects accurately; however, the complexity and cost increase if good spatial resolution is required. Thus a radar does not indicate which range corresponds to which object. In this paper, we associate vision detected objects to radar returned echoes, focusing on highways, estimating the 3-D locations of cars around an ego vehicle. This information would help cars driving autonomously to maneuver around.
Keywords :
distance measurement; image processing equipment; image sensors; road vehicle radar; 3D location estimation; cars location estimation; radar depth association; radar returned echo; single radar sensor; vision detected objects; vision detected vehicle; vision sensor; Cameras; Machine vision; Radar detection; Radar imaging; Spaceborne radar; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference, 2014 IEEE
Conference_Location :
Cincinnati, OH
Print_ISBN :
978-1-4799-2034-1
Type :
conf
DOI :
10.1109/RADAR.2014.6875771
Filename :
6875771
Link To Document :
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