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基于RTSSEP试验平台的车辆避障准确度模型仿真 被引量:1

Simulation of Accuracy Model for Vehicle Collision Avoidance Based on RTSSEP
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摘要 分析了当前车辆避碰系统传感器端在对障碍物信息进行检测时,易受到道路交通环境因素干扰而产生虚报、漏报现象的原因,对车载传感器检测到的障碍物信息进行了性质归类.在此基础上介绍了车辆避障准确度模型.采用蒙特卡罗方法模拟车辆在运行过程中的碰撞判定,并依此对模型的仿真算法进行了设计.整个仿真试验在室内道路交通系统仿真试验平台(RTSSEP)上实施,结果表明仿真方法能有效模拟障碍物信息准确度模型的执行过程,可为进一步开展建模研究提供信息依据. The sensors of vehicle collision avoidance system are easily interfered by road transport environment when detecting information of obstacles,and therefore missed and wrong detecting are appeared.The causes are analyzed,and the detected information types are classified by their characters.According to the analysis and classification,a model used as an accuracy model for vehicle collision avoidance is to be described.To reproduce the characters of interference,the values of collision-judgment function are simulated by Monte-Carlo method.The experiments are carried out on road transport system simulation and experiment platform(RTSSEP),and the results of which can indicate that the simulation not only availably reappears the implementation of the model,but also supply data for the further detection reliability modeling.
出处 《交通运输系统工程与信息》 EI CSCD 2010年第1期67-71,共5页 Journal of Transportation Systems Engineering and Information Technology
基金 国家自然科学基金(60974094,60874081) 国家高技术研究发展计划(863计划)(2009AA11Z213)
关键词 智能交通 车辆避碰系统 准确度模型 信息检测 仿真方法 试验平台 intelligent transportation vehicle collision avoidance reliability model information detection simulation method experimental platform
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参考文献7

  • 1王荣本,郭烈,金立生,顾柏园,余天洪.智能车辆安全辅助驾驶技术研究近况[J].公路交通科技,2007,24(7):107-111. 被引量:40
  • 2汪恩军,陈先桥,初秀民,张黎光.车辙检测中超声测距数据采集方法[J].武汉理工大学学报,2008,30(1):138-141. 被引量:12
  • 3Borner M, Isermann R. Model-based detection of critical driving situations with fuzzy logic decision making[J] . Control Engineering Practice, 2006, 14:527 - 536.
  • 4LIN C H, WANG L L. Systems, intelligent collision avoidance by fuzzy logic control [ J ]. Robotics and Autonomous 1997,20:61 - 83.
  • 5郭予并,冷东方.数据融合与聂曼-皮尔逊准则[J].雷达与对抗,2004(2):31-33. 被引量:2
  • 6Jansson J, Gustafsson F. A framework and automotive application of collision avoidance decision making[J].Automatica, 2008, 44:2347 - 2351.
  • 7Gustafsson F, Gunnarsson F, Bergman N, et al. Particle filters for positioning, navigation and tracking [ J ]. IEEE Transactions on Signal Processing, 2002, 50: 425- 437.

二级参考文献17

  • 1顾柏园,王荣本,余天洪,郭烈.基于视觉的前方车辆探测技术研究方法综述[J].公路交通科技,2005,22(10):114-119. 被引量:14
  • 2郭烈,王荣本,顾柏园,余天洪.世界智能车辆行人检测技术综述[J].公路交通科技,2005,22(11):133-137. 被引量:18
  • 3张黎光,严新平,初秀民,吴超仲.道路标志尺寸图像测量方法的研究[J].武汉理工大学学报(信息与管理工程版),2006,28(5):5-8. 被引量:4
  • 4马大猷.声学手册.北京:科学出版社,1983.58-60.
  • 5NOOKALA M,ESTOCHEN B.Minnesota,USA Intelligent Vehicle Initiative[C] // The Proceedings of IEEE Intelligent Vehicles Symposium.2002:22-27.
  • 6BROGGI A.智能车辆-智能交通系统的关键技术[M].北京:人民交通出版社,2002:33-36.
  • 7Demo 2002 Showcases French Accomplishments in Smart Car Technology[R].Ⅳsource.net,Jul.y-September,2002.
  • 8SUN Z,BEBIS G,MILLER R.On-road vehicle detection using optical sensors:A review[C] // The Proceedings of IEEE Conference on Intelligent Transportation Systems.2004:585-590.
  • 9BELLUTTA P,MANDUCHI R,MATTHIES L,et al.Terrain Perception for DEMO Ⅲ[C] //The Proceedings of IEEE Intelligent Vehicles Symposium.2000:326-331.
  • 10GAVRILA DM,GEIBEL J.Shape-Based Pedestrian Detection and Tracking[C] //The Proceedings of IEEE Intelligent Vehicles Symposium.2002:8-14.

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