Browsing by Author "Chang, Chai-Wei"
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Item type:Item, A new vehicle detection with distance estimation for lane change warning systems(2007) ;Wu, Bing-Fei ;Chen, Wei-Hsin ;Chang, Chai-Wei ;Chen, Chao-JungChung, Ming-WeiIn this paper, the vehicle detection with distance estimation algorithm is proposed by using two CCD cameras mounted on the both side mirrors of our experimental car, TAIWAN iTS-1. The Sobel edge pixels and gray intensity are applied for the lane marking and vehicle detection in our work. A new detection which utilizes a lane prediction technique to reduce the size of the ROI is developed for real-time embedded system applications. The side vehicles can be easily detected by comparing the gray intensity with the road surface. Then, the image coordinate model is utilized for the distance estimation with the detected approaching vehicles. The verified effective distance is 30m behind the host vehicle. This approach has been successfully implemented on the DSP board for the real-time detection and this system will be extended to the lane change warning system to give drivers alerts to avoid collision.Item type:Item, Dynamic CCD camera calibration tor traffic monitoring and vehicle applications(2007) ;Wu, Bing-Fei ;Chen, Wei-Hsin ;Chang, Chai-Wei ;Liu, Chih-ChunChen, Chao-JungIn this paper, the camera calibration approach based on the perspective model for the tilt angle, pan angle and the height of installation is proposed. Before starting the calibration, the lane information is acquired by applying the Sobel horizontal and vertical edged pixels. The calibration method only utilizes a pair of parallel lane markings without manually selecting special features. The tilt angle, pan angle and camera height are calibrated sequentially in our method. This algorithm can be widely applied in vehicle collision avoidance applications and traffic monitoring systems.