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    Please use this identifier to cite or link to this item: http://ir.cnu.edu.tw/handle/310902800/31917

    標題: 使用PreScan於車輛在感知環境系統之設計與模擬
    Simulation and Application of Cooperative Driving Sense Systems Using PreScan Software
    作者: 王翔立
    貢獻者: 應用空間資訊系
    關鍵字: 車用感測器模擬平台
    automotive sensor simulation platform(PreScan)
    advanced driver assistance system (ADAS)
    日期: 2018
    上傳時間: 2019-02-27 16:48:25 (UTC+8)
    摘要: 本文運用車用感測器模擬平台(PreScan)製作測試車用感測器之環境模擬路段。首先使用PreScan建置模擬路段或匯入真實路段,建造虛擬基礎設施、街道及場景,加入車輛及道路突發事件、交通號誌、人為因素、光源和模擬天氣變化等等,作為測試車用感測器數值的根據,透過PreScan進行測試。
    In this paper, we use vehicle sensor simulation platform (PreScan) to simulate the circumstance of driving on road to test the vehicle sensor. First, use PreScan to set up a scenario of streets and roads or to input realistic street view, to build virtual facilities, streets and scenes and add vehicles, road incidents, traffic signals, human errors, light factors and weather conditions, etc., as the base to test car sensor.
      After the construction of the virtual road scene, add PreScan built-in vehicle module and set up a camera at appropriate place to get the perspective of the driver. Then use SimuLink to set model for vehicle sensors for testing. In order to improve the safety, the efficiency and the consistency of road transport, Driver Supporting System and Intelligent Transport System could be the most potential creation in the market. The technology also becomes more important to the vehicle manufacturers. The performance/function of the vehicle sensor is a key point. The test vehicle sensors in the past mostly use real vehicles for test and the risk and the cost of this kind of test is huge and expensive. But if we test it by PreScan, it can not only provide with almost real physical data to reliable information, but also can avoid the risks and the tremendous amount of cost resulted from using real vehicles for test.
    關聯: 電子全文公開日期:2020-08-01,學年度:106, 57頁
    Appears in Collections:[應用空間資訊系(所)] 博碩士論文

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