自动驾驶系统模拟器研究综述

Jixiang Zhou, Yi Zhang, Shengjian Guo, Yan Guo
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引用次数: 2

摘要

全面、严格的测试对于确保自动驾驶系统(ADS)的安全性和可靠性起着至关重要的作用,然而,在道路上进行测试既不安全又昂贵。仿真测试可以解决高成本和不安全的问题,但仿真测试的性能严重依赖于仿真平台,也受到仿真平台的限制。本文对ADS测试中常用的仿真平台进行了广泛的对比研究。从虚拟环境生成、关键场景创建、支持的传感器类型、交通参与者控制等方面比较了CarSim、maker、AirSim等常用模拟器的优缺点。
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A Survey on Autonomous Driving System Simulators
Comprehensive and rigorous testing plays a critical role in ensuring the safety and reliability of automated driving systems (ADS), nonetheless, testing on the road is unsafe and costly. Simulation testing can solve the high cost and insecurity, but the performance of simulation testing is heavily dependent on, as well as limited by, the simulation platforms. This paper carries out an extensive comparison study on the commonly used simu-lation platforms in ADS testing. Advantages and disadvantages of the commonly used simulators such as CarSim, CarMaker and AirSim are compared from aspects like virtual environment generation, critical scenarios creation, types of supported sensor, as well as control of traffic participants.
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