Adaptive Control System for Autonomous Vehicle Path Following

M. Stork, Jiri Pinker, P. Weissar
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引用次数: 1

Abstract

Autonomy in vehicles is a rapidly expanding technology that is of interest in many major car companies. Autonomous driving enables safer journeys by removing human error in driving, as well as reducing driving time and fuel consumption by optimizing the engine and brake actuation. While certain autonomous functions in cars have been in use for over a decade, such as lane keeping and automatic parking these features are subject to specific scenarios. A fully automated vehicle needs to take into account the unpredictable and complex environments that cars drive in. The idea of a self-driving car in a city environment needs specific requirements such as reliable path following, accurate sensor data and safe drive. The scope of this paper is to create a simple path following solution which enables an autonomous car to accurately traverse along any given path.
自动驾驶车辆路径跟踪的自适应控制系统
汽车自动驾驶是一项迅速发展的技术,许多大型汽车公司对此都很感兴趣。自动驾驶通过消除驾驶中的人为错误,减少驾驶时间和燃料消耗,优化发动机和制动驱动,从而实现更安全的旅程。虽然汽车上的某些自动功能已经使用了十多年,比如车道保持和自动停车,但这些功能取决于特定的场景。全自动驾驶汽车需要考虑到汽车行驶时不可预测的复杂环境。在城市环境中自动驾驶汽车的想法需要特定的要求,如可靠的路径跟踪,准确的传感器数据和安全驾驶。本文的范围是创建一个简单的路径跟踪解决方案,使自动驾驶汽车能够沿着任何给定的路径准确地穿越。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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