Alternatives to Monte-Carlo simulation evaluations of two multisensor fusion algorithms

Automatica

Volumn 34, Issue 1, 1998, Pages 103-110

  Frei, Christian W ^a   Pao, Lucy Y ^b  

^a ETH ZURICH   (Switzerland)

^b UNIVERSITY OF COLORADO   (United States)

Author keywords

Data association; Non simulation performance evaluation; Sensor fusion; Target tracking

Indexed keywords

MULTISENSOR FUSION ALGORITHMS; MULTISENSOR JOINT PROBABILISTIC DATA ASSOCIATION; MULTISENSOR MULTITARGET TRACKING;

ALGORITHMS; APPROXIMATION THEORY; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; MONTE CARLO METHODS; SENSORS;

CONTROL THEORY;

EID: 0031703392     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0005-1098(97)00167-2     Document Type: Article

References (5)

1. Bar-Shalom, Y. and T. E. Fortmann (1988). Tracking and Data Association. Academic Press, San Diego.
2. Frei, C. W. (1995). Comparision of parallel and sequential implementations of a multisensor multitarget tracking algorithm. Master's thesis. Northwestern University.
3. Li, X. and Y. Bar-Shalom (1991). 'Stability evaluation and track-life of the PDAF for tracking in clutter. IEEE Trans. Automat. Control, 36(5), 581-602.
4. Pao, L. (1994). 'Centralized multisensor fusion algorithms for tracking applications'. Control Enging Practice 2(5), 875-887.
5. Willner, D., C. B. Chang and K. P. Dunn (1976). Kalman filter algorithms for a multi-sensor system. Proc. IEEE Conf. Decision and Control, Clearwater, FL, USA, December 1-3, 1976, pp. 570-574.