Title :
Sensor signal processing for IVHS applications
Author :
Kan, W.Y. ; Krogmeier, J.V. ; Doerschuk, P.C.
Author_Institution :
Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
Abstract :
Accurate and wide-area estimates of vehicle velocity and traffic spatial and temporal densities will be essential components of future algorithms for freeway and arterial street control, for incident prediction and detection, and for optimization in route selection. Algorithms like these figure prominently in the current research and development of intelligent vehicle-highway systems (IVHS). This paper presents an approach to a class of vehicle monitoring problems which is based upon a video backbone sensor and multiple target tracking (MTT). The method allows the integration of measurements made from other sensors like inductive loops, microwave radars, and laser range profilers
Keywords :
automated highways; road traffic; road vehicles; sensor fusion; tracking; traffic control; video signal processing; IVHS applications; arterial street control; freeway control; incident detection; incident prediction; inductive loops; intelligent vehicle-highway systems; laser range profilers; measurements integration; microwave radars; multiple target tracking; route selection; sensor signal processing; temporal density; vehicle monitoring problems; vehicle traffic; vehicle velocity; video backbone sensor; video image processing; Intelligent sensors; Intelligent systems; Laser radar; Research and development; Road vehicles; Signal processing; Signal processing algorithms; Traffic control; Vehicle detection; Velocity control;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.480114