利用虚拟现实和Prescan-Simulink仿真环境实现自动驾驶汽车

Catalin Rares Nacu, D. Fodorean, C. Husar, M. Grovu, C. Irimia
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引用次数: 6

摘要

本文介绍了一项研究的主要结果,该研究涉及将虚拟现实(VR)概念用于电动汽车(EV)的研究。在真正实现电动汽车的自动驾驶之前,VR研究非常重要,因为在模拟环境中评估其运行更为高效和安全。在这里,Prescan软件用于开发VR界面,而Simulink则用于对整个EV(包括控制器和推进单元)进行建模。可以在VR软件中放置和配置一组特定的传感器,用于自动驾驶,并可以模拟最现实的条件(即交通标志和天气条件,行人,道路轮廓等)。也可以通过Simulink接口编程一个真正的控制单元,这将用于通过电池提供一个真正的推进电机。从而在虚拟现实环境中评估最佳现实条件,从而可以从评估/改进其能量管理的角度精确估计车辆的自主能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards autonomous EV by using Virtual Reality and Prescan-Simulink simulation environments
The paper presents the main results of a study which is dealing with the use of the virtual reality (VR) concept employed for the study of an electric vehicle (EV). The VR study is important before the real implementation of the autonomous-driving of the EV, since it is more efficient and safe to evaluate its operation in a simulation environment. Here, Prescan software is used to develop the VR interface, while Simulink is used to model the entire EV (controller and propulsion unit included). A set of specific sensors can be placed and configured for the autonomous driving in the VR software and the most realistic conditions (i.e., traffic signs and weather conditions, pedestrians, road profiles etc.) can be simulated. It is also possible to program a real control unit via Simulink interface, which is to be used for the supply of a real propulsion motor, via a battery. Thus, the best realistic conditions are evaluated in the VR environment, and thus one could precisely estimate the autonomy of the vehicles in the perspective of evaluating/improving its energy management.
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