Visual classification of coarse vehicle orientation using Histogram of Oriented Gradients features

Abstract

For an autonomous vehicle, detecting and tracking other vehicles is a critical task. Determining the orientation of a detected vehicle is necessary for assessing whether the vehicle is a potential hazard. If a detected vehicle is moving, the orientation can be inferred from its trajectory, but if the vehicle is stationary, the orientation must be determined… (More)
DOI: 10.1109/IVS.2010.5547996

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@article{Rybski2010VisualCO, title={Visual classification of coarse vehicle orientation using Histogram of Oriented Gradients features}, author={Paul E. Rybski and Daniel Huber and Daniel D. Morris and Regis Hoffman}, journal={2010 IEEE Intelligent Vehicles Symposium}, year={2010}, pages={921-928} }