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INVESTIGATING THE IMPACT OF COMPONENT UNCERTAINTY ON AUTONOMOUS VEHICLE OVERTAKING MANEUVERS

机译:研究组件不确定性对自主车辆超车操作的影响

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摘要

Autonomous vehicles sense the environment and act accordingly using modern electronic and mechanical components. Although these subsystems and components are delicately designed and manufactured, uncertainties in real-world vehicle operations could cause various undesirable performance deviations or even failure. In this work, we study the impact of component uncertainties on vehicle overtaking maneuver, one of the most common actions in traffic. A model is built to simulate the flow of information and the actions of each component in the control strategy of overtaking. Possible variations of major components are investigated. The impact of uncertainties on the overtaking maneuver are first analyzed. Based on the results, we see that the angle resolution of the distance-detecting device has the biggest impact while the angular velocity-detecting device has relatively small influence. While the control strategy changes, we also observe the impact swifts. Therefore, one could systematically use the existing uncertainty to see how output performance changes by using the proposed model; alternatively, one could also study the robustness of the control strategy under uncertainties.
机译:无人驾驶汽车通过使用现代电子和机械组件感知环境并采取相应的行动。尽管这些子系统和组件经过精心设计和制造,但现实世界中车辆运行中的不确定性可能会导致各种不希望的性能偏差甚至故障。在这项工作中,我们研究了组件不确定性对车辆超车操作的影响,这是交通中最常见的动作之一。建立一个模型来模拟信息流和超车控制策略中每个组件的动作。研究了主要部件的可能变化。首先分析不确定性对超车操作的影响。从结果可以看出,距离检测装置的角度分辨率影响最大,而角速度检测装置的影响相对较小。在控制策略改变的同时,我们也观察到了影响的迅速变化。因此,可以通过使用所提出的模型来系统地利用现有的不确定性来观察输出性能如何变化。或者,也可以研究不确定性情况下控制策略的鲁棒性。

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