避障
模型预测控制
车辆动力学
电子稳定控制
避碰
控制工程
计算机科学
控制理论(社会学)
工程类
高级驾驶员辅助系统
理论(学习稳定性)
控制系统
障碍物
集合(抽象数据类型)
控制(管理)
控制器(灌溉)
弹道
汽车工程
移动机器人
人工智能
计算机安全
机器人
机器学习
法学
程序设计语言
碰撞
物理
天文
电气工程
生物
政治学
农学
作者
Stephen M. Erlien,Susumu Fujita,J. Christian Gerdes
标识
DOI:10.1109/tits.2015.2453404
摘要
Steer-by-wire technology enables vehicle safety systems to share control with a driver through augmentation of the driver's steering commands. Advances in sensing technologies empower these systems further with real-time information about the surrounding environment. Leveraging these advancements in vehicle actuation and sensing, the authors present a shared control framework for obstacle avoidance and stability control using two safe driving envelopes. One of these envelopes is defined by the vehicle handling limits, whereas the other is defined by spatial limitations imposed by lane boundaries and obstacles. A model predictive control (MPC) scheme determines at each time step if the current driver command allows for a safe vehicle trajectory within these two envelopes, intervening only when such a trajectory does not exist. In this way, the controller shares control with the driver in a minimally invasive manner while avoiding obstacles and preventing loss of control. The optimal control problem underlying the controller is inherently nonconvex but is solved as a set of convex problems allowing for reliable real-time implementation. This approach is validated on an experimental vehicle working with human drivers to negotiate obstacles in a low friction environment.
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