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