TY - GEN
T1 - Driver assistance systems based on vision in and out of vehicles
AU - Fletcher, Luke
AU - Petersson, Lars
AU - Zelinsky, Alexander
N1 - Publisher Copyright:
© 2003 IEEE.
PY - 2003
Y1 - 2003
N2 - As computer vision based systems like lane tracking, face tracking and obstacle detection mature an enhanced range of driver assistance systems are becoming feasible. This paper introduces a list of core competencies required for a driver assistance system, the issue of building in robustness is highlighted in contrast to leaving such considerations to a later product development phase. We then demonstrate how these issues may be addressed in driver assistance systems based primarily on computer vision. The underlying computer vision systems are discussed followed by an example of a driver support application for lane keeping based on force-feedback through the steering wheel.
AB - As computer vision based systems like lane tracking, face tracking and obstacle detection mature an enhanced range of driver assistance systems are becoming feasible. This paper introduces a list of core competencies required for a driver assistance system, the issue of building in robustness is highlighted in contrast to leaving such considerations to a later product development phase. We then demonstrate how these issues may be addressed in driver assistance systems based primarily on computer vision. The underlying computer vision systems are discussed followed by an example of a driver support application for lane keeping based on force-feedback through the steering wheel.
UR - http://www.scopus.com/inward/record.url?scp=84870844226&partnerID=8YFLogxK
U2 - 10.1109/IVS.2003.1212930
DO - 10.1109/IVS.2003.1212930
M3 - Conference contribution
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
SP - 322
EP - 327
BT - IEEE Intelligent Vehicles Symposium, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2003 IEEE Intelligent Vehicles Symposium, IV 2003
Y2 - 9 June 2003 through 11 June 2003
ER -