| Document Date: 2014-01-22 16:05:01
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City Hillel / London / New York / / Company Vehicular Systems / Neural Networks / Huang A. S. / McCall / Google / Advanced Driving Assistance Systems / Intelligent Transportation Systems / / Event Reorganization / / Facility Computer Science The University of Western Ontario London / / IndustryTerm on-board imaging system / conventional lane detection algorithms / transform-based algorithm / optimization algorithm / energy-based optimization / lane detection algorithm / satellite imagery / obstacle-free detection algorithm / genetic algorithms / particle swarm lane detection algorithm / lane detection algorithms / lane edge search / satellite images / search space / exhaustive search / block matching algorithm / lane crossing warning systems / urban road networks / stereo imaging plane / internal network / / Organization ISPRS Commission / University of Western Ontario London / Computational Intelligence / / Person LANE MODEL / / Position driver / model for lane detection / Teller / Hunter / representative / / Product Catmull-Rom / Satellite / / ProvinceOrState New Foundland and Labrador / New York / A. B. / Ontario / / Region Western Ontario / / Technology lane detection algorithms / Machine Vision / image Algorithm / API / block matching algorithm / GPS / conventional lane detection algorithms / lane detection algorithm / The algorithm / animation / obstacle-free detection algorithm / 2 Obstacle-Free Zone Detection Algorithm / Image Processing / particle swarm lane detection algorithm / optimization algorithm / 1 Lane Feature Detection Algorithm / transform-based algorithm / /
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Map-Based Lane and Obstacle-Free Area Detection T. Kowsari1 , S.S. Beauchemin1, and M.A. Bauer1 1 Department of Computer Science The University of Western Ontario London, ON, N6A-5B7