Title :
Adapting radar and tracking technology to an on-board automotive collision warning system
Author :
Jocoy, Edward H. ; Knight, James R.
Author_Institution :
Calspan Corp., Buffalo, NY, USA
fDate :
31 Oct-7 Nov 1998
Abstract :
Calspan Corporation is currently developing an on-vehicle threat detection system for intersection collision avoidance (ICA) as part of its ICA program with the National Highway Traffic Safety Administration. This paper briefly reviews the system design and describes recent efforts that include the development of a multitarget tracker/Kalman filter and collision avoidance (C/A) algorithm. A current headway radar was mounted on the Calspan Instrumented Vehicle (CIV) and in traffic data were recorded. Warning functions, developed through simulation, were applied to the recorded data (non-real-time signal processing) and key Kalman filter/tracker parameters were varied. In addition, real-time performance in traffic is demonstrated. This research demonstrates the feasibility of preventing many intersection collisons
Keywords :
Global Positioning System; Kalman filters; alarm systems; collision avoidance; driver information systems; radar signal processing; radar tracking; road vehicle radar; sensor fusion; GPS; Kalman filter; digital map database; graphic information system; headway radar; intersection collision avoidance; multitarget tracker; on-board automotive collision warning system; on-vehicle threat detection system; predicted time of arrival; radar technology adaptation; real-time performance in traffic; tracking technology adaptation; warning functions; Automotive engineering; Collision avoidance; Independent component analysis; Instruments; Radar detection; Radar tracking; Signal processing algorithms; Traffic control; US Department of Transportation; Vehicles;
Conference_Titel :
Digital Avionics Systems Conference, 1998. Proceedings., 17th DASC. The AIAA/IEEE/SAE
Conference_Location :
Bellevue, WA
Print_ISBN :
0-7803-5086-3
DOI :
10.1109/DASC.1998.739872