This paper presents an effective vehicle and motorcycle detection system in the blind spot area in the daytime and nighttime scenes. The proposed method identifies vehicle and motorcycle by detecting the shadow and the edge features in the daytime, and the vehicle and motorcycle could be detected through locating the headlights at nighttime. First, shadow segmentation is performed to briefly locate the position of the vehicle. Then, the vertical and horizontal edges are utilized to verify the existence of the vehicle. After that, tracking procedure is operated to track the same vehicle in the consecutive frames. Finally, the driving behavior is judged by the trajectory. Second, the lamps in the nighttime are extracted based on automatic histogram thresholding, and are verified by spatial and temporal features to against the reflection of the pavement. The proposed real-time vision-based Blind Spot Safety-Assistance System has implemented and evaluated on a TI DM6437 platform to perform the vehicle detection on real highway, expressways, and urban roadways, and works well on sunny, cloudy, and rainy conditions in daytime and night time. Experimental results demonstrate that the proposed vehicle detection approach is effective and feasible in various environments.
The high accuracy modeling is a prerequisite to study UTC-PD matching circuit design and power combining. This paper presents the high accuracy modeling method of UTC-PD photodiode. The measured frequency response curve of photoelectric conversion was used as a benchmark, and the model of the equivalent circuit was modified consistently in order to make the frequency response curve of the model fit the measured frequency response curve. This method addressed effectively the modeling issues of UTC-PD photodiode.
The 3D model of terrain, which includes goafs, is built by use of terrain generator from MIDAS GTS. The method is developed that the model is stress analyzed by FEM (finite-element method). The following cases are considered: rock weight, loose rock and Heavy Equipment on step surface. Finally, used to the field datum from Luo’yang Molybdenum Co., Ltd., modeling and stress analyzing are finished by the software of MIDAS GTS. The result indicates that the method could provide scientific basis for Safety and Management to open-pit with Underground mined-out area.
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