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Hazard-evaluation-based Driver-automation Switched Shared Steering Control for Intelligent Vehicles

机译:基于危害评估的智能汽车驾驶员自动化切换共享转向控制

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The driving model switched between an intelligent vehicle and a human driver is a hot discussing issue for intelligent driving system, and it relates to the safety of the intelligent vehicle and traffic efficiency of transportation system. It presents a hazard-evaluation-based driver-automation switched shared steering control approach for intelligent vehicles in this manuscript. The switched operation between human driver and autopilot system is carried out when the hazard situation is tested by the autopilot controller. The driver's operation and the deviation from the road center line are employed to carry out the hazard evaluation. The autopilot controller is designed using the constrained model predictive control (MPC) approach to keep the intelligent vehicle run in the safe area that is between the road boundary. In order to verify the control performance of the proposed algorithm, simulation verification under hazard situation of the proposed approach are carried out and compared with the non-switching method. The results show that the intelligent vehicle can keep safe in the hazard situation.
机译:智能车辆与人类驾驶员之间切换的驾驶模型是智能驾驶系统研究的热点问题,它关系到智能车辆的安全性和交通运输系统的交通效率。在本文中,它提出了一种基于风险评估的智能汽车驾驶员自动切换共享转向控制方法。当危险状况由自动驾驶仪控制器测试时,将在驾驶员和自动驾驶仪系统之间进行切换操作。评估驾驶员的操作和偏离道路中心线的情况。使用约束模型预测控制(MPC)方法设计自动驾驶仪控制器,以使智能汽车在道路边界之间的安全区域内行驶。为了验证所提算法的控制性能,对所提方法在危险情况下进行了仿真验证,并与非切换方法进行了比较。结果表明,智能汽车可以在危险情况下保持安全。

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