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Lane-Change Fuzzy Control in Autonomous Vehicles for the Overtaking Maneuver

机译:自动驾驶汽车超车变道模糊控制

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摘要

Abstract—The automation of the overtaking maneuver is considered\udto be one of the toughest challenges in the development\udof autonomous vehicles. This operation involves two vehicles (the\udovertaking and the overtaken) cooperatively driving, as well as\udthe surveillance of any other vehicles that are involved in the\udmaneuver. This operation consists of two lane changes—one from\udthe right to the left lane of the road, and the other is to return\udto the right lane after passing. Lane-change maneuvers have been\udused to move into or out of a circulation lane or platoon; however,\udovertaking operations have not received much coverage in the\udliterature. In this paper, we present an overtaking system for autonomous\udvehicles equipped with path-tracking and lane-change\udcapabilities. The system uses fuzzy controllers that mimic human\udbehavior and reactions during overtaking maneuvers. The system\udis based on the information that is supplied by a high-precision\udGlobal Positioning System and a wireless network environment. It\udis able to drive an automated vehicle and overtake a second vehicle\udthat is driving in the same lane of the road.
机译:摘要—超车操作的自动化被认为是自动驾驶汽车发展中最艰巨的挑战之一。此操作涉及两个车辆(超车和超车)的协同驾驶,以及对与机动相关的任何其他车辆的监视。此操作包含两个车道更改-一个从路的右到左车道,另一个是在经过后返回到右车道。换道操纵已被\ udd移入或移出循环车道或排;但是,\超车操作在\ udliterature中的覆盖范围不大。在本文中,我们提出了一种具有路径跟踪和变道能力的自动\车辆超车系统。该系统使用模糊控制器模拟超车操作过程中的人\行为和反应。系统基于高精度\ ud全球定位系统和无线网络环境提供的信息。它能够驾驶自动车辆并超越在同一条道路上行驶的第二辆车辆。

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