TY - GEN
T1 - Radar depth association with vision detected vehicles on a highway
AU - Sikdar, Ankita
AU - Cao, Siyang
AU - Zheng, Yuan F.
AU - Ewing, Robert L.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84906657869&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84906657869&partnerID=8YFLogxK
U2 - 10.1109/RADAR.2014.6875771
DO - 10.1109/RADAR.2014.6875771
M3 - Conference contribution
AN - SCOPUS:84906657869
SN - 9781479920341
T3 - IEEE National Radar Conference - Proceedings
SP - 1159
EP - 1164
BT - 2014 IEEE Radar Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE Radar Conference, RadarCon 2014
Y2 - 19 May 2014 through 23 May 2014
ER -