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This paper presents a real-time moving object detection method using the wavelet-based neural networks for the pre-crash safety system of a vehicle. The proposed method uses stationary infrared cameras to sense vehicles and obstacles on the road ahead, and the CarPC to determine whether or not a collision is based on the speed, position, and traveling route of the object. In this method, the stationary...
This research is motivated by two potential applications - enhancing driving safety and collecting traffic data in a large dynamic urban environment. A laser scanner based approach is proposed, in which SLAM (simultaneous localization and mapping) is developed with moving object detection and tracking using a laser scanner for perception, using GPS to achieve global accuracy, and using yaw rate and...
Metrology of vehicle trajectories has several applications in the field of road safety, particularly in dangerous curves. Actually, it is of great interest to observe trajectories of vehicles with the aim of designing a real time driver warning device in dangerous areas. This paper addresses the first step of a work with a video system placed along the road with the objective of vehicle's position...
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