Understanding human driving behavior is crucial to develop autonomous vehicles' algorithms. However, most low level automation, such as the one in advanced driving assistance systems (ADAS), is based on objective safety measures, which are not always aligned with what the drivers perceive as safe and their correspondent driving behavior. Finding the bridge between the subjective perception and objective safety measures has been analyzed in this paper focusing specifically on lane-change scenarios. Results showed statistically significant differences between what is perceived as safe by drivers and objective metrics depending on the specific maneuver and location of drivers.
翻译:理解人类驾驶行为对于发展自主车辆算法至关重要。 但是,大多数低水平自动化,如高级驾驶协助系统(ADAS)的自动化,都基于客观的安全措施,但这些措施并不总是与司机认为的安全及其代理驾驶行为相一致。 本文分析了主观感知与客观安全措施之间的桥梁,特别侧重于改变车道的情景。 结果显示,驾驶员认为安全的东西与根据驾驶员的具体动作和位置确定的客观衡量标准之间存在统计上的重大差异。