MPC with Integrated Evasive Maneuvers for Failure-safe Automated Driving

Terrence Skibik, Abraham P. Vinod, A. Weiss, S. D. Cairano
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Abstract

Automated vehicles may encounter non-nominal situations called failure scenarios, due for instance to errors in perception or environment prediction. In some failure scenarios, a risk area must suddenly be avoided, possibly at the price of no longer satisfying all the constraints enforced in nominal driving conditions. We propose a design for a failure-safe controller that operates the vehicle according to the specifications in nominal conditions, while ensuring that, should a known failure occur, an evasive maneuver can be performed that avoids the risk area and satisfies a possibly relaxed set of driving constraints. We design evasive maneuver controllers parametrized in their reference, and we leverage set based methods to determine the region where such controllers satisfy the constraints and avoid the risk area. Membership in such a region during nominal operation is achieved by imposing additional constraints on the controller for nominal driving. We demonstrate the approach in simulations in a few different scenarios.
集成规避机动的MPC故障安全自动驾驶
自动驾驶汽车可能会遇到非标准的故障场景,例如由于感知或环境预测的错误。在一些故障场景中,必须突然避免一个风险区域,可能以不再满足名义驾驶条件中强制执行的所有约束为代价。我们提出了一种故障安全控制器的设计,该控制器根据标称条件下的规格操作车辆,同时确保在发生已知故障时,可以执行规避机动,避开风险区域并满足可能放松的驾驶约束集。设计了参考参数化的规避机动控制器,利用基于集合的方法确定了规避机动控制器满足约束条件的区域和规避风险区域。在标称操作期间,这种区域的成员资格是通过对控制器施加额外的约束来实现的。我们在几个不同场景的模拟中演示了该方法。
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