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OVERVIEW OF VISIONBASED SYSTEM
SYSTEM SAFETY REQUIREMENTS
VEHICLE DETECTION AND RECOGNITION _
4 other sections not shown
angular resolution approach aspect ratio binary image bounding box calculated camera Chapter classification network Computer Vision Crash Mitigation curve deployment detect potential objects detection and recognition detection and tracking detection module detection system developed driver warning system driving environment edge detection example exterior airbag system Figure function Gaussian gradient gray scale image hazardous object HFOV highway histogram equalization host vehicle Hough space Hough Transform HSV color space image processing image segmentation image sequence Intelligent Vehicles Symposium intensity Kalman filter lane detection algorithm lane markers Laplacian lookahead distance motion field neurons noise obstacle detection Operator optical flow output parameters performance pixels position Proactive Exterior Airbag Proceedings of Intelligent recognition model recognition system requirements road area road curvature safety sensors shape speed stop sign subsystem symmetrical level target object techniques template threshold tracking model Traffic Sign Detection validation network vector Vehicle Detection vision-based object detection vision-based system width