Stereo sequences analysis for dynamic scene understanding in a driver assistance system

Boris V. Vishnyakov; Yuri V. Vizilter; Vladimir A. Knyaz; Ivan K. Malin; Oleg V. Vygolov; Sergey Y. Zheltov

doi:10.1117/12.2184849

22 June 2015 Stereo sequences analysis for dynamic scene understanding in a driver assistance system

Boris V. Vishnyakov, Yuri V. Vizilter, Vladimir A. Knyaz, Ivan K. Malin, Oleg V. Vygolov, Sergey Y. Zheltov

Proceedings Volume 9530, Automated Visual Inspection and Machine Vision; 95300P (2015) https://doi.org/10.1117/12.2184849
Event: SPIE Optical Metrology, 2015, Munich, Germany

Abstract

The improved stereo-based approach for dynamic road scene understanding in a Driver Assistance System (DAS) is presented. System calibration is addressed. Algorithms for road lane detection, road 3D model generation, obstacle predetection and object (vehicle) detection are described. Lane detection is based on the evidence analysis. Obstacle predetection procedure performs the comparison of radial ortophotos, obtained by left and right stereo images. Object detection algorithm is based on recognition of back part of cars by histograms of oriented gradients. Car Stereo Sequences (CSS) Dataset captured by vehicle-based laboratory and published for DAS algorithms testing.

Citation Download Citation

Boris V. Vishnyakov, Yuri V. Vizilter, Vladimir A. Knyaz, Ivan K. Malin, Oleg V. Vygolov, and Sergey Y. Zheltov "Stereo sequences analysis for dynamic scene understanding in a driver assistance system", Proc. SPIE 9530, Automated Visual Inspection and Machine Vision, 95300P (22 June 2015); https://doi.org/10.1117/12.2184849

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