A framework of the non-critical spontaneous intervention in highly automated driving scenarios

Chao Wang
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引用次数: 6

Abstract

One trend in the development of autonomous driving is to take the human completely out-of-the-loop. However, we believe that there are good grounds to keep the human in the loop, at some level of control (in particular tactical control), even in the case of full automation. One reason to do so is that the technology may not be flexible enough to always behave according to human needs and preferences, which may vary across people and situations. There are still many scenarios driver want to spontaneously intervene the behaviour of the system, e.g. picking up a friend in a crowded area, selecting a parking lot, that the driver would not like to follow a big truck and want to turn to another road to explore and find new places. In this paper, we present a framework of human intervention in Non-critical Spontaneous Situations (NCSSs). The framework facilitates a systematic definition of these scenarios, which ensures that all relevant aspects are addressed when eliciting requirements or validating concepts.
高度自动驾驶场景下的非关键自发干预框架
自动驾驶发展的一个趋势是将人类完全排除在外。然而,我们认为,即使在完全自动化的情况下,在某种程度的控制(特别是战术控制)上,也有很好的理由让人类参与其中。这样做的一个原因是,这项技术可能不够灵活,无法始终按照人类的需求和偏好行事,而人类的需求和偏好可能因人和情况而异。仍然有许多场景驾驶员希望自发地干预系统的行为,例如在拥挤的地区接朋友,选择停车场,驾驶员不愿意跟随大卡车,而想转向另一条道路探索和寻找新的地方。在本文中,我们提出了一个非关键自发情境(NCSSs)中人类干预的框架。该框架促进了这些场景的系统定义,确保在引出需求或验证概念时处理了所有相关的方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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