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.

Date Published: 1 November 1993
PDF: 12 pages
Proc. SPIE 2027, Advanced Signal Processing Algorithms, Architectures, and Implementations IV, (1 November 1993); doi: 10.1117/12.160447

Published in SPIE Proceedings Vol. 2027:
Advanced Signal Processing Algorithms, Architectures, and Implementations IV
Franklin T. Luk, Editor(s)