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Application and Simulation of Cooperative Driving Sense Systems Using PreScan Software

机译:采用预扫描软件的合作驾驶感测系统应用与仿真

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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 of Active Park Assist 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.
机译:在本文中,我们使用车辆传感器仿真平台(扫描前)来模拟行驶在道路测试车辆传感器的情况。首先,使用扫描前建立一个场景街道和道路还是要输入真实的街景,打造虚拟设施,街道和场景,并添加车辆,道路事故,交通信号,人为错误,轻因素和天气条件等,为基准,以测试汽车传感器。虚拟道路场景的建设后,加入扫描前内置的车辆模块,并设置在适当位置的摄像机获得司机的视角。然后使用Simulink中集模型的车辆传感器测试。为了提高安全性,效率和公路运输的一致性,驱动程序支持系统和智能交通系统可以在市场上最有潜力的创作。主动泊车辅助系统的技术也成为汽车制造商更重要。车辆传感器的性能/功能是一个关键点。在过去的测试车辆传感器大多采用实车测试和风险,这种测试的成本是巨大的,昂贵的。但是,如果我们通过扫描前测试,它不仅可以几乎实时的物理数据,可靠的信息提供,也可避免的风险和成本的大量源自使用真实的车辆测试。

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