TY - GEN
T1 - Vision-based 3D scene analysis for driver assistance
AU - Burschka, Darius
AU - Hager, Gregory D.
PY - 2005
Y1 - 2005
N2 - We present a vision-based system for traffic sign detection and ego-motion estimation in road scenarios. The system is capable of autonomous scene reconstruction and classification. It is used to pre-select candidate surfaces in the vicinity of the road that should be inspected more closely by a sign recognition system. We compare two approaches based on a binocular and a monocular camera system, respectively. We discuss their advantages and disadvantages for applications in driver assistance systems.
AB - We present a vision-based system for traffic sign detection and ego-motion estimation in road scenarios. The system is capable of autonomous scene reconstruction and classification. It is used to pre-select candidate surfaces in the vicinity of the road that should be inspected more closely by a sign recognition system. We compare two approaches based on a binocular and a monocular camera system, respectively. We discuss their advantages and disadvantages for applications in driver assistance systems.
UR - http://www.scopus.com/inward/record.url?scp=33846135790&partnerID=8YFLogxK
U2 - 10.1109/ROBOT.2005.1570217
DO - 10.1109/ROBOT.2005.1570217
M3 - Conference contribution
AN - SCOPUS:33846135790
SN - 078038914X
SN - 9780780389144
T3 - Proceedings - IEEE International Conference on Robotics and Automation
SP - 812
EP - 818
BT - Proceedings of the 2005 IEEE International Conference on Robotics and Automation
T2 - 2005 IEEE International Conference on Robotics and Automation
Y2 - 18 April 2005 through 22 April 2005
ER -