IEEE Intelligent Vehicles SymposiumIEEE Operations Center, 2005 - Automobile driving |
Contents
MAO1 PEDESTRIAN DETECTION | 12 |
MAO2 ADVANCED MOTION CONTROL | 30 |
MAP POSTER SESSION VISION BASED SYSTEMS | 48 |
Copyright | |
30 other sections not shown
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Common terms and phrases
acceleration accuracy active suspension adaptive algorithm angle applications approach architecture braking calculated camera classification clothoids collision Computer Vision coordinate system CORBA disparity distance dynamic ECEF edge environment equation error estimation evaluation extraction feature extraction Figure frequency function fusion fuzzy Haar wavelet IEEE Intelligent Vehicles implemented input Intelligent Transportation Systems Intelligent Vehicles Symposium intersection Kalman filter lane change lane detection Laserscanner LiDAR maneuver matrix measurement method mobile module motion node object optical flow optimal output packet paper parameters particle filter pedestrian detection performance pixels plane position prediction Proc proposed Q-learning radar real-time road robot robust safety scenario scene segmentation sensor shown shows signal simulation speed sprung mass steering stereo support vector machine threshold tracking traffic signs trajectory update vector vehicle detection velocity vertical wireless