DocumentCode :
497632
Title :
On-road target tracking using radar and image sensor based measurements
Author :
Chen, Yangsheng ; Jilkov, Vesselin P. ; Li, X. Rong
Author_Institution :
Dept. of Electr. Eng., Univ. of New Orleans, New Orleans, LA, USA
fYear :
2009
fDate :
6-9 July 2009
Firstpage :
2091
Lastpage :
2098
Abstract :
On-road target tracking using radar and image sensor based measurements is studied. A novel 2D road coordinate representation of an on-road moving target is introduced. A natural description of target longitudinal and lateral maneuvering behavior in 2D road coordinates is given using multiple models. An improved mean-adaptive acceleration model is utilized for describing longitudinal maneuver modes of motion. Three IMM-based estimators are developed that use different schemes for fusion of radar and image sensor based measurement data: centralized, distributed, and sequential. Simulation results are presented that illustrate the performance of the proposed estimators in general, and demonstrate their improved capabilities as compared with a known 1D road coordinate (mileage) estimator, in particular.
Keywords :
image motion analysis; image representation; image sensors; radar imaging; radar tracking; road vehicles; sensor fusion; target tracking; 2D road coordinate representation; IMM-based estimator; centralized estimator; distributed estimator; image sensor fusion; longitudinal maneuver mode; mean-adaptive acceleration model; measurement data; on-road moving target tracking; radar sensor fusion; sequential estimator; Acceleration; Electric variables measurement; Image sensors; Motion estimation; Radar imaging; Radar measurements; Radar tracking; Roads; State estimation; Target tracking; 2D road coordinates; IMM; Target tracking; estimation; ground target; sensor data fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion, 2009. FUSION '09. 12th International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-0-9824-4380-4
Type :
conf
Filename :
5203725
Link To Document :
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