This paper illustrates a vehicle imaging technique for ground traffic control applications. The imaging is performed by exploiting the vehicle motion with respect to a pair of linear arrays. The method for estimating the vehicular velocity from the data collected by one of the arrays is described, and the theoretical accuracy of the estimate is discussed in detail through the evaluation of the Rao-Cramer bound. In particular it is recognized that the maximum likelihood solution is based on the radon transform of the data. Experimental results obtained with a field operating prototype are finally shown.
Radon transform-based velocity estimation of vehicles with linear arrays
Advanced Signal Processing Algorithms, Architectures, and Implementations IV ; 1993 ; San Diego,CA,United States
Proc. SPIE ; 2027
1993-11-01
Conference paper
Electronic Resource
English
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