4 D-dynamic scene analysis with integral spatio-temporal models
Proceedings of the 4th international symposium on Robotics Research
Vision-based autonomous road vehicles
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The new generation system for the CMU Navlab
Vision-based vehicle guidance
Algorithms for road navigation
Vision-based vehicle guidance
Approximate vehicle waiting time estimation using adaptive video-based vehicle tracking
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
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The Intelligent Transportation System is a novel paradigm to improve conventional road-vehicle systems by using microelectronics, artificial intelligence, and other related technologies. ITS is based on three key functions: communication, control, and sensing. Machine-vision systems play important roles by detecting lane markings, vehicles, pedestrians, road signs, traffic conditions, traffic incidents, and even driver drowsiness. Challenges include making machine-vision systems less expensive, more compact, and more robust in various weather and traffic conditions. Developing new traffic paradigms that take advantage of today's component technologies, including machine vision, is also important.