| Summary: | 碩士 === 國立高雄應用科技大學 === 電子工程系碩士班 === 104 === According to the main traffic accident reasons for statistical analysis, there are included the following factors of improper driving, distance shrinking and driver fatigue. Actually, the driver accidents of their own operation can avoid or reduce traffic accidents through image security assistance system. Therefore, the future development trend of the automobile industry should mainly derive the Advanced Driver Assistance System (ADAS) technology for replacing the human judgment and guide requirements. Moreover, the integration of automotive function can achieve automation and intelligent car image monitoring function requirement.
In this thesis, we introduce the assistance system function of image processing to provide the driver real-time monitoring and parking. The relevant parameters are detected, judged and processed for producing the corresponding action through the assistance system. We design a complete set of traffic video systems by using the single or multiple cameras, image recognition processing and estimation for vehicle trajectory techniques. To achieve specific aims, we focused on the system for multi-screen optimization. In the future, we can effectively enhance the integration of image systems to identify rates.
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