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A Fail-Operational Control Architecture Approach and Dead-Reckoning Strategy in Case of Positioning Failures

机译:定位失败时的故障操作控制架构方法和死区合并策略

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摘要

Presently, in the event of a failure in Automated Driving Systems, control architectures rely on hardware redundancies over software solutions to assure reliability or wait for human interaction in takeover requests to achieve a minimal risk condition. As user confidence and final acceptance of this novel technology are strongly related to enabling safe states, automated fall-back strategies must be assured as a response to failures while the system is performing a dynamic driving task. In this work, a fail-operational control architecture approach and dead-reckoning strategy in case of positioning failures are developed and presented. A fail-operational system is capable of detecting failures in the last available positioning source, warning the decision stage to set up a fall-back strategy and planning a new trajectory in real time. The surrounding objects and road borders are considered during the vehicle motion control after failure, to avoid collisions and lane-keeping purposes. A case study based on a realistic urban scenario is simulated for testing and system verification. It shows that the proposed approach always bears in mind both the passenger’s safety and comfort during the fall-back maneuvering execution.
机译:当前,在自动驾驶系统发生故障的情况下,控制体系结构依赖于软件解决方案的硬件冗余,以确保可靠性或在接管请求中等待人为干预以达到最小风险条件。由于用户对这项新颖技术的信心和最终接受度与启用安全状态密切相关,因此在系统执行动态驾驶任务时,必须确保自动回退策略作为对故障的响应。在这项工作中,开发并提出了故障操作控制体系结构方法和定位失败情况下的死区重收策略。故障操作系统能够检测到最后一个可用定位源中的故障,警告决策阶段以建立后备策略并实时规划新轨迹。发生故障后,在进行车辆运动控制时会考虑周围的物体和道路边界,以避免碰撞和保持车道。模拟了一个基于实际城市场景的案例研究,以进行测试和系统验证。它表明,提出的方法始终要考虑到后备机动执行过程中乘客的安全性和舒适性。

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