In this paper, a steering action-aware Adaptive Cruise Control (ACC) approach for teleoperated road vehicles is proposed. In order to keep the vehicle in a safe state, the ACC approach can override the human operator's velocity control commands. The safe state is defined as a state from which the vehicle can be stopped safely, no matter which steering actions are applied by the operator. This is achieved by first sampling various potential future trajectories. In a second stage, assuming the trajectory with the highest risk, a safe and comfortable velocity profile is optimized. This yields a safe velocity control command for the vehicle. In simulations, the characteristics of the approach are compared to a Model Predictive Control-based approach that is capable of overriding both, the commanded steering angle as well as the velocity. Furthermore, in teleoperation experiments with a 1:10-scale vehicle testbed, it is demonstrated that the proposed ACC approach keeps the vehicle safe, even if the control commands from the operator would have resulted in a collision.
翻译:在本文中,提议对遥控道路车辆采取具有指导行动意识的适应性巡航控制(ACC)方法;为了保持车辆处于安全状态,ACC方法可推翻人类操作者的速度控制指令;安全状态的定义是车辆可以安全停靠的状态,无论操作者采用何种指导行动;这是通过首先取样各种潜在的未来轨迹来实现的;在第二阶段,假设轨道风险最高,将优化安全舒适的速度配置;这为车辆提供了安全的速度控制指令;在模拟中,该方法的特点与能够压倒两种情况、指挥方向和速度的模型预测控制方法相比较;此外,在以1:10比例的车辆测试台进行的远程操作实验中,已经证明拟议的ACC方法使车辆保持安全,即使操作者的控制指令会导致碰撞。