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Safety verification of autonomous vehicles for coordinated evasive maneuvers

机译:自动驾驶汽车的安全验证

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The verification of evasive maneuvers for autonomous vehicles driving with constant velocity is considered. Modeling uncertainties, uncertain measurements, and disturbances can cause substantial deviations from an initially planned evasive maneuver. From this follows that the maneuver, which is safe under perfect conditions, might become unsafe. In this work, the possible set of deviations is computed with methods from reachability analysis, which allows to verify evasive maneuvers under consideration of the mentioned uncertainties. Since the presented approach has a short response time, it can be applied for real time safety decisions. The methods are presented for a numerical example where two autonomous cars plan a coordinated evasive maneuver in order to prevent a collision with a wrong-way driver.
机译:考虑了验证驱动恒定速度的自治车辆的避险动作。建模不确定性,不确定的测量和扰动会导致初始计划的避免机动的大量偏差。从这种情况下,机动在完美的条件下安全,可能变得不安全。在这项工作中,通过可达性分析的方法计算可能的一组偏差,这允许在考虑所提到的不确定性的情况下验证Refaive Seeuvers。由于该方法具有短响应时间,因此可以应用于实时安全决策。该方法呈现出一个数字示例,其中两个自主车计划协调的避免机动,以防止与错误方式驾驶员的碰撞。

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