Share Email Print
cover

Proceedings Paper

Stereo sequences analysis for dynamic scene understanding in a driver assistance system
Author(s): Boris V. Vishnyakov; Yuri V. Vizilter; Vladimir A. Knyaz; Ivan K. Malin; Oleg V. Vygolov; Sergey Y. Zheltov
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 22 June 2015
PDF: 9 pages
Proc. SPIE 9530, Automated Visual Inspection and Machine Vision, 95300P (22 June 2015); doi: 10.1117/12.2184849
Show Author Affiliations
Boris V. Vishnyakov, State Research Institute of Aviation System (Russian Federation)
Yuri V. Vizilter, State Research Institute of Aviation System (Russian Federation)
Vladimir A. Knyaz, State Research Institute of Aviation System (Russian Federation)
Ivan K. Malin, State Research Institute of Aviation System (Russian Federation)
Oleg V. Vygolov, State Research Institute of Aviation System (Russian Federation)
Sergey Y. Zheltov, State Research Institute of Aviation System (Russian Federation)


Published in SPIE Proceedings Vol. 9530:
Automated Visual Inspection and Machine Vision
Jürgen Beyerer; Fernando Puente León, Editor(s)

© SPIE. Terms of Use
Back to Top