Title :
Collision avoidance system for vehicles applying model predictive control theory
Author :
Seki, Y. ; Ohya, J. ; Miyoshi, M.
Author_Institution :
Syst. Div., Toshiba Corp., Tokyo, Japan
fDate :
6/21/1905 12:00:00 AM
Abstract :
One of the most important issues in controlling vehicles automatically is collision avoidance. A collision avoidance system (CAS) should cause the vehicle to stop reliably when a preceding vehicle stops suddenly on the road or when the CAS detects an obstacle. The paper proposes a collision, avoidance algorithm applying model predictive control (MPC) theory. The CAS proposed has the following features: (1) prediction of the future behavior of a vehicle, (2) good ride comfort preventing unnecessary brake reference change. A simple and high-performance CAS can be achieved using the proposed algorithm. Computer simulations have confirmed its high performance
Keywords :
collision avoidance; control system synthesis; digital simulation; matrix algebra; performance index; predictive control; road vehicles; collision avoidance system; model predictive control theory; obstacle detection; Automatic control; Change detection algorithms; Collision avoidance; Content addressable storage; Prediction algorithms; Predictive control; Predictive models; Road accidents; Road vehicles; Vehicle detection;
Conference_Titel :
Intelligent Transportation Systems, 1999. Proceedings. 1999 IEEE/IEEJ/JSAI International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-4975-X
DOI :
10.1109/ITSC.1999.821100