Artificial neural networks in real-time car detection and tracking applications

@article{Goerick1996ArtificialNN,
  title={Artificial neural networks in real-time car detection and tracking applications},
  author={Christian Goerick and Detlev Noll and Martin Werner},
  journal={Pattern Recognition Letters},
  year={1996},
  volume={17},
  pages={335-343}
}
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. 
Highly Cited
This paper has 58 citations. REVIEW CITATIONS

6 Figures & Tables

Topics

Statistics

0510'98'00'02'04'06'08'10'12'14'16'18
Citations per Year

58 Citations

Semantic Scholar estimates that this publication has 58 citations based on the available data.

See our FAQ for additional information.