TY - GEN
T1 - Fusion of multiple 2D LiDAR and RADAR for object detection and tracking in all directions
AU - Na, Kiin
AU - Byun, Jaemin
AU - Roh, Myongchan
AU - Seo, Beomsu
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014
Y1 - 2014
N2 - For autonomous vehicle and ADAS(Advanced Driver Assistance System), it is essential to detect and to track objects within a certain area in realtime. This paper presents the 2D tracker that fuses with four 2D LiDARs and one RADAR. It independently detects objects according to the type of sensors and represents these in the same space. It continuously associates measurements of the same object and tracks these with KF(Kalman Filter) for prediction and JPDAF(Joint Probabilistic Data Association Filter) for update. The result of our multi-sensor fusion tracker is demonstrated with a visualization tool.
AB - For autonomous vehicle and ADAS(Advanced Driver Assistance System), it is essential to detect and to track objects within a certain area in realtime. This paper presents the 2D tracker that fuses with four 2D LiDARs and one RADAR. It independently detects objects according to the type of sensors and represents these in the same space. It continuously associates measurements of the same object and tracks these with KF(Kalman Filter) for prediction and JPDAF(Joint Probabilistic Data Association Filter) for update. The result of our multi-sensor fusion tracker is demonstrated with a visualization tool.
UR - http://www.scopus.com/inward/record.url?scp=84959377662&partnerID=8YFLogxK
U2 - 10.1109/ICCVE.2014.7297512
DO - 10.1109/ICCVE.2014.7297512
M3 - Conference contribution
AN - SCOPUS:84959377662
T3 - 2014 International Conference on Connected Vehicles and Expo, ICCVE 2014 - Proceedings
SP - 1058
EP - 1059
BT - 2014 International Conference on Connected Vehicles and Expo, ICCVE 2014 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Connected Vehicles and Expo, ICCVE 2014
Y2 - 3 November 2014 through 7 November 2014
ER -