Comparison of path following controllers for autonomous vehicles

Ádám Domina, V. Tihanyi
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引用次数: 8

Abstract

The driver assistance systems becomes more common in today’s vehicles, and in the future highly automated vehicles and large number of autonomous vehicles will appear in roads. In the beginning these systems only support the human driver, but later they will able to control the vehicle driving. Hence vehicles have to plan the path, and follow it accurately and safely. Furthermore it has to provide convenience for the passengers. To find a better trajectory following controller first it is necessary to test it in simulation environment, then to test it in real environment in a vehicle.The subject of this article is an implementation of a lateral dynamic bicycle model, and an implementation of different controllers. Besides it will contain the testing of the controllers. If the controllers work with sufficient precision in the simulation, it will be tested in a real vehicle. The essence of the test is the speed limit, where the simulation and the real test starting to deviate. In the end of the article we compare the performance of the different controllers and evaluate which is the most appropriate. Besides the difference will also be evaluated between the simulated results and the results on the real vehicle. This comparison reveal which is the speed limit, as long as the values calculated on the lateral dynamic bicycle model approximate the actual results in a simulation environment with sufficient precision.
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自动驾驶汽车路径跟踪控制器的比较
驾驶辅助系统在今天的车辆中越来越普遍,未来高度自动化的车辆和大量的自动驾驶汽车将出现在道路上。一开始,这些系统只支持人类驾驶员,但后来他们将能够控制车辆驾驶。因此,车辆必须规划路径,并准确而安全地沿着它行驶。此外,它必须为乘客提供方便。为了找到一个更好的轨迹跟踪控制器,首先需要在仿真环境中进行测试,然后在实际环境中进行测试。本文的主题是一个横向动态自行车模型的实现,以及不同控制器的实现。此外,它将包含控制器的测试。如果控制器在仿真中工作足够精确,它将在真实的车辆上进行测试。测试的本质是速度限制,模拟和真实测试开始偏离。在文章的最后,我们比较了不同控制器的性能,并评估哪一个是最合适的。此外,还将对仿真结果与实车结果的差异进行评估。通过比较可以看出,只要横向动力自行车模型在仿真环境下的计算值与实际结果接近,并且具有足够的精度,那么哪一个才是速度极限。
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