AOA: Ambient obstacle avoidance interface

Wei Liang Kenny Chua, Matt Johnson, T. Eskridge, Brenan Keller
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引用次数: 2

Abstract

In this paper, we present a novel interface for teleoperating ground vehicles. Obstacle avoidance with ground vehicles demands a high level of operator attention, typically distracting from the primary mission. The Ambient Obstacle Avoidance (AOA) was designed to allow operators to effectively perform a primary task, such as search, while still effectively avoiding obstacles. The AOA wraps around a standard video interface and provides range information without requiring a separate screen. AOA combines and reduces different data streams into proportionately scaled symbology that directly shows important relationships between vehicle width, vehicle orientation and obstacles in the environment. The use of the AOA interface was tested in both simulation and on physical robots. Results from both tests show an improvement in obstacle avoidance during navigation with the AOA. In addition, results from the simulation test indicate that operators using AOA were able to leverage ambient vision such that the primary visual task was not impeded.
AOA:环境避障界面
在本文中,我们提出了一种新的远程操作地面车辆的接口。地面车辆的避障需要操作员高度的注意力,通常会分散主要任务的注意力。环境避障系统(AOA)的设计目的是使操作员能够有效地执行搜索等主要任务,同时仍能有效地避开障碍物。AOA封装了一个标准视频接口,不需要单独的屏幕就能提供距离信息。AOA将不同的数据流组合并简化为按比例缩放的符号,直接显示车辆宽度、车辆方向和环境中障碍物之间的重要关系。AOA接口的使用在仿真和物理机器人上进行了测试。两项测试的结果都表明,AOA在导航过程中可以提高避障能力。此外,模拟测试的结果表明,使用AOA的操作员能够利用环境视觉,从而使主要视觉任务不受阻碍。
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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