Spatial visualization of sensor information for automated vehicles

Fei Yan, Shyukryan Karaosmanoglu, A. Demir, M. Baumann
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引用次数: 2

Abstract

Displaying the sensor limitation of automated vehicles is crucial to traffic safety and trust in automation. However, the current representation of system uncertainty is quite general with symbols or scales consisting of uncertainty levels, which is problematic in critical situations where drivers need to know the specific problem of the sensors. An interface that visualizes the radar sensor information spatially considering the surroundings is proposed, which aims to provide a better mental representation of the situation and support drivers' decisions. It is evaluated against two reference interfaces with either no or general representation of the sensor information. After seeing different interfaces in various scenarios of overtaking obstacles, participants selected one of the following options: "stop", "circuit" or "take over the control". The results show that although the interface showing no sensor information has the shortest reaction time, the proposed interface has changed drivers' decisions from "circuit" to "take over the control" the most.
自动驾驶车辆传感器信息的空间可视化
显示自动驾驶汽车的传感器局限性对交通安全和对自动化的信任至关重要。然而,目前系统不确定性的表示是非常通用的,由不确定性级别组成的符号或尺度,这在驾驶员需要知道传感器具体问题的关键情况下是有问题的。提出了一种将雷达传感器信息在空间上可视化的界面,该界面考虑了周围环境,旨在提供更好的情况心理表征,并支持驾驶员的决策。它根据两个参考接口进行评估,其中要么没有传感器信息的表示,要么有传感器信息的一般表示。在看到各种超车障碍场景的不同界面后,参与者在“停车”、“绕行”或“接管控制”三个选项中进行选择。结果表明,虽然不显示传感器信息的接口反应时间最短,但该接口将驾驶员的决策从“电路”转变为“接管控制”的影响最大。
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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