Artificial neural networks in real-time car detection and tracking applications
Pattern Recognition LettersPublished 1 April 1996
Christian Goerick, Detlev Noll, Martin Werner
Citations131
SJR quartileQ1
SJR score1.00
SNIP1.43
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TL;DR
Three applications representing different approaches to car detection and tracking problems are presented, and artificial neural networks are utilized to solve the essential subproblems.
Abstract
In this paper we present three applications representing different approaches to car detection and tracking problems. In conjunction with problem-adequate preprocessing, artificial neural networks are utilized to solve the essential subproblems. The approaches draw their sensory input from vision and times series based cues. All three applications satisfy real-time requirements on German autobahnen.
Keywords
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