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Road Scene Content Analysis for Driver Assistance and Autonomous Driving
2017
IEEE transactions on intelligent transportation systems (Print)
This research aims to develop a vision based driver assistance system that achieves scene awareness using video frames obtained from a dashboard camera. A saliency image map is formed with features pertinent to the driving scene. This saliency map, based on contour and motion sensitive human visual perception, is devised by extracting spatial, spectral and temporal information from the input frames and applying data fusion. Fusion output contains high level descriptors for segment boundaries
doi:10.1109/tits.2017.2688352
fatcat:mjp6rvksajbcrknnuesu2hhgnm