Improvement of an association algorithm for obstacle tracking
Information Fusion
Critical motion detection of nearby moving vehicles in a vision-based driver-assistance system
IEEE Transactions on Intelligent Transportation Systems
Collision sensing by stereo vision and radar sensor fusion
IEEE Transactions on Intelligent Transportation Systems
Wireless local danger warning: cooperative foresighted driving using intervehicle communication
IEEE Transactions on Intelligent Transportation Systems
Efficient multisensory barrier for obstacle detection on railways
IEEE Transactions on Intelligent Transportation Systems
A visual blindspot monitoring system for safe lane changes
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing - Volume Part II
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In order to avoid collision with an object that blocks the course of a vehicle, measuring the distance to it and detecting positions of its side boundaries, are necessary. In the paper, an object detection method achieved by the fusion of millimeter-wave radar and a single video camera is proposed. We consider the method as the least expensive solution because at least one camera is necessary for lane marking detection. In the method, the distance is measured by the radar, and the boundaries are found from an image sequence, based on a motion stereo technique with the help of the distance measured by the radar. Since the method does not depend on the appearance of objects, it is capable of detecting not only an automobile but also other objects. Object detection by the method was confirmed through an experiment. In the experiment, both a stationary and a moving object were detected and a pedestrian as well as a vehicle was detected.