面向自动驾驶和电动汽车控制算法的虚拟大尺度道路环境构建

Yasuo Kawai, M. Ogasawara, Takehisa Kaito, Keita Nagao
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引用次数: 0

摘要

由于使用实际车辆的高成本,为自动驾驶汽车和电动汽车开发的控制算法只能进行有限的试验。本研究利用开放资料及游戏引擎,建构一个低成本的虚拟环境,以发展此类控制演算法。具体而言,生成具有高程差异的大尺度三维城市道路模型。该模型与硬件在环仿真(HILS)相结合,作为车辆运行模型,实现了实际系统。这项研究表明,鉴于模型开发过程的高成本,需要自动化模型开发过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Construction of Virtual Large-Scale Road Environment for Developing Control Algorithms for Autonomous and Electric Vehicles
Control algorithms developed for autonomous and electric vehicles undergo limited trials because of the high cost of using actual vehicles. This study constructs a low-cost virtual environment for developing such control algorithms using open data and a game engine. Specifically, a large-scale three-dimensional urban road model with elevation differences is generated. This model is connected with hardware-in-the-loop simulations (HILS) as a vehicle running model to realize a practical system. This study reveals the need to automate the model development process in light of its high cost.
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