Road Map Extraction using GMTI Tracking

For analyzing dynamic scenarios with many ground moving vehicles, airborne ground moving target indicator (GMTI) radar is well-suited due to its wide-area, all-weather, day/night, and real time capabilities. The generation of GMTI tracks from these data is the backbone for producing a "recognized ground picture" as well as for analyzing traffic flows. In this paper we discuss the benefits of GMTI tracking in view of extracting road map information. The resulting tracking-generated road maps are highly up-to-date and fairly precise. Moreover, their accuracy is quantitatively described. The precision of the extracted road segments can significantly be improved using smoothed or "retrodicted" tracks. In turn, the extracted road information is exploited for the precise tracking of succeeding road targets. The proposed approach is illustrated by a simulated example including Doppler and terrain obscuration, providing hints to the achievable road map accuracies

[1]  R. Klemm.  Principles of Space-Time Adaptive Processing , 2002 .

[2]  Samuel S. Blackman,et al.  Design and Analysis of Modern Tracking Systems , 1999 .

[3]  G. V. Keuk,et al.  On phased-array radar tracking and parameter control , 1993 .

[4]  Wolfgang Koch,et al.  Fixed-interval retrodiction approach to Bayesian IMM-MHT for maneuvering multiple targets , 2000, IEEE Trans. Aerosp. Electron. Syst..

[5]  W. Koch,et al.  Ground target tracking with STAP radar , 2001 .

[6]  Thiagalingam Kirubarajan,et al.  Estimation with Applications to Tracking and Navigation , 2001 .

[7]  Wolfgang Koch,et al.  GMTI-tracking and information fusion for ground surveillance , 2001, SPIE Optics + Photonics.

[8]  Branko Ristic,et al.  A variable structure multiple model particle filter for GMTI tracking , 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).

[9]  W. Koch.  Ground target tracking with STAP radar: selected tracking aspects , 2004 .

[10]  Kevin J. Sullivan,et al.  Road-constrained target tracking and identification a particle filter , 2004, SPIE Optics + Photonics.

[11]  Martin Ulmke.  Improved GMTI-tracking using road-maps and topographic information , 2004, SPIE Optics + Photonics.

[12]  T. Kirubarajan,et al.  New assignment-based data association for tracking move-stop-move targets , 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).

[13]  Peter J. Shea,et al.  Improved state estimation through use of roads in ground tracking , 2000, SPIE Defense + Commercial Sensing.