TY - GEN
T1 - Driver assistance algorithm for automotive collision avoidance using optimization feasibility
AU - Mukai, Masakazu
AU - Kawabe, Taketoshi
PY - 2013
Y1 - 2013
N2 - This paper considers a collision avoidance problem of the vehicle and the moving obstacle. The prohibited region is defined for the vehicle and the obstacle considering a specified size of them. The problem is formulated as a mixed integer programming problem. In the problem the obstacles and environments around the automobile can be represent as inequality conditions. Then the driver assistance algorithm for the collision avoidance using the feasibility of the optimization is proposed. Computer simulation shows that the proposed algorithm can provide appropriate control input for collision avoidance.
AB - This paper considers a collision avoidance problem of the vehicle and the moving obstacle. The prohibited region is defined for the vehicle and the obstacle considering a specified size of them. The problem is formulated as a mixed integer programming problem. In the problem the obstacles and environments around the automobile can be represent as inequality conditions. Then the driver assistance algorithm for the collision avoidance using the feasibility of the optimization is proposed. Computer simulation shows that the proposed algorithm can provide appropriate control input for collision avoidance.
UR - http://www.scopus.com/inward/record.url?scp=84885941611&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84885941611&partnerID=8YFLogxK
U2 - 10.3182/20130904-4-JP-2042.00159
DO - 10.3182/20130904-4-JP-2042.00159
M3 - Conference contribution
AN - SCOPUS:84885941611
SN - 9783902823434
T3 - IFAC Proceedings Volumes (IFAC-PapersOnline)
SP - 416
EP - 421
BT - 7th IFAC Symposium on Advances in Automotive Control, AAC 2013 - Proceedings
PB - IFAC Secretariat
T2 - 7th IFAC Symposium on Advances in Automotive Control, AAC 2013
Y2 - 4 September 2013 through 7 September 2013
ER -