| Summary: | 碩士 === 國立交通大學 === 網路工程研究所 === 100 === Intelligent Transportation System (ITS) provides various services for vehicular environments. Most of the ITS applications require accuracy position of vehicle to be developed. However, the current positioning techniques and devices may not satisfy the accuracy. In this thesis, we present a Video-Assisted Inter-Vehicle Positioning (VIP) system. The system integrates sensed data extracted from GPS receiver and driving video logger with image processing techniques, and then the sensed data is exchanged to nearby vehicles for improving the accuracy of cooperative positioning. In our system, each vehicle is equipped with a GPS receiver and WAVE/DSRC equipment, and some vehicles are equipped with driving video logger, called fully equipped vehicle. Each fully equipped vehicle will assess the difference between the lane recognized by the image processing module and the lane is referred to digital map module to validate the accuracy of its GPS position. Then, these information will be exchanged among vehicles to differentiate the weights of received positions during the cooperative positioning process. Simulation results show that our approach can achieve 10~30 percent of improvement in the position accuracy when only half of vehicles were fully equipped, and improve the accuracy by factor of 30~40 percent (within 3m) if all vehicles were fully equipped.
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