Multipart Vehicle Detection Using Symmetry-Derived Analysis and Active Learning

@article{Satzoda2016MultipartVD,
  title={Multipart Vehicle Detection Using Symmetry-Derived Analysis and Active Learning},
  author={Ravi Kumar Satzoda and Mohan Manubhai Trivedi},
  journal={IEEE Transactions on Intelligent Transportation Systems},
  year={2016},
  volume={17},
  pages={926-937}
}
On-road vehicle detection is a critical operation in automotive active safety systems such as collision avoidance, merge assist, lane change assistance, etc. In this paper, we present VeDAS-Vehicle Detection using Active learning and Symmetry. VeDAS is a multipart-based vehicle detection algorithm that employs Haar-like features and Adaboost classifiers for… CONTINUE READING

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