Browsing by Author "Bing-Fei Wu"
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Item type:Item, Design and implementation of the intelligent stop and go system in smart car, TAIWAN iTS-1(2006) ;Bing-Fei Wu ;Tsen-Wei Chang ;Jau-Woei Perng ;Hsin-Han ChiangChao-Jung ChenIn this paper, the intelligent Stop and Go system (S&G) is designed and implemented for low speed traveling vehicles in urbane area. The human-driving like fuzzy logic control is applied for achieving desired speed and safe inter-vehicle spacing. By proposed intelligent Stop and Go system, the following functions can be obtained including collision avoidance, traffic accidence reduction, driving pressure decrease, and increment of traffic capability. Furthermore, the real car equipped with sensors and a longitudinal controller is provided to demonstrate three scenarios that meet the situations of low speed vehicles in urban area. Three seniors include pedestrian crossing, stop in front of obstacle, and Stop and Go. The application of proposed intelligent Stop and Go system is possible for low speed driving assistance in urban area by our experimental results.Item type:Item, Robustness of front-wheel-steered vehicles with the angle controllers connected to actual lane command(2006) ;Bing-Fei Wu ;Shih-Meng Chang ;交大名義發表National Chiao Tung UniversityThis study analyzes front wheels steering (FWS) vehicles using results obtained from two unmanned cars: Unmanned Car I (UCI) and Unmanned Car 11 (UCII). The vehicle model integrates the lane angle derived from the translational system such that data on the lateral position, the lateral velocity and the lateral acceleration are comprehensively obtained. The main function of each block in the two newly developed structures is described as follows. Two angle controllers were used to eliminate the redundant components of the front-wheel steering angles. A lane scheduled gain (LSG) in each system was used to improve the lane angle deflection in UCI and UCII while the feed-forward controller simulates the behavior of a driver. The use of an empirical pre-filter reduces the lane angle error for UCI and UCII hence enhancing the performance of the system. Finally, the numerical calculation has shown that the two proposed systems are capable of tracking the desired course accurately.Item type:Item, 動態交通資訊之技術開發與應用研究(三)-影像偵測技術應用於既設閉路攝影機之功能測試評估(2009) ;吳炳飛 ;Bing-Fei Wu國立交通大學電機與控制工程學系環視國內交通管理單位,為進行路況監視而建置之CCTV將持續擴充,然監視人力有限,因此亟須自動化之偵測系統來減輕相關人員之負擔。影像偵測技術應用於既設閉路攝影機之自動偵測交通參數及事件之可行性,曾於「影像式車輛偵測器擴充模組研發-事件偵測功能模組研發與試作」案中進行測試,証實了國內之影像偵測與辨識技術於CCTV系統亦具有一定辨識能力。本計畫將持續於不同網路傳輸方式之CCTV影像進行各項功能試作,包含光纖與ADSL環境,針對不同影像品質、架設高度及角度下影像辨識能力之測試評估報告。此外,針對事件偵測之結果,為求對於肇事者之辨識能力,本計畫亦提出一雙攝影機偵測系統,運用一支固定式攝影機進行事件偵測,輔以一支旋轉雲台攝影機鎖定事件點進行鎖定拍攝,目的是將事件發生地點以及肇事車輛或是人員清楚拍攝,以利後續肇事責任判定或是違規執法之進行。最後,本計畫將上述兩項主要工作項目之試作成果分析整理,提供後續相關系統之研究與建置之參考。