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Extraordinary Automated Driving Situations: Probabilistic Analytical Modeling of Human-Systems-Integration (HSI) and the Role of Trust

机译:非凡的自动化驾驶情况:人类系统集成(HSI)的概率分析建模和信任的作用

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Automated driving (AD) specifications require that the human driver takes over, if an off-normal situation, such as a possible collision occurs. A critical problem is due in this case to the short time available to the driver to intervene and to take appropriate actions. It has been recently demonstrated, mostly in application to the aerospace domain, how Probabilistic Analytical Modeling (PAM) could effectively complement computer simulations in various Human-System-Integration (HSI) related missions and situations, when the system's reliability and the human's performance contribute jointly to the never-zero probability of failure. The convolution model is brought in application to a situation, when an obstacle is suddenly detected in front of the moving vehicle, and the only possible way to avoid collision is by using brakes to decelerate the vehicle. The role and significance of the driver's trust towards the system are also addressed and briefly discussed.
机译:自动化驾驶(AD)规格要求人类驱动程序接管,如果发生违规情况,例如可能的碰撞。 在这种情况下,在这种情况下由于驾驶员提供干预并采取适当的动作的短时间。 最近已经证明,主要是在应用于航空域,如何在系统的可靠性和人类的性能贡献时有效地将计算机模拟能够有效地补充计算机模拟(HSI)相关任务和情况。 联合到永无止零的失败概率。 当在移动车辆前面突然检测到障碍物时,卷积模型被施加到某种情况下,以及避免碰撞的唯一可能的方法是通过使用刹车来减速车辆。 还解决了驾驶员对系统信任的作用和意义,并简要讨论过。

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