Performance evaluation method for environment recognition of mobile robot employing video database

Hyuna Kim, Bowon Jung, Okkyung Choi, Seungbin Moon
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引用次数: 4

Abstract

It is needed to evaluate how well the robot recognizes its environments while it is moving along the path to perform intended tasks. In general, the behavioral patterns of robot when it encounters sudden obstacles in a given environment may depend upon the obstacle avoidance algorithms that are programmed into the robot. In order to evaluate the performance of the environment recognition, we constructed the video image database sets which are photographed by both color image and depth image. We showed that the proposed performance evaluation method could be utilized effectively in evaluating the recognition performance of a robot.
基于视频数据库的移动机器人环境识别性能评价方法
需要评估机器人在沿着路径移动以执行预定任务时对环境的识别程度。一般来说,当机器人在给定环境中遇到突发性障碍物时,其行为模式可能取决于机器人中编程的避障算法。为了评估环境识别的性能,我们构建了由彩色图像和深度图像组成的视频图像数据库集。结果表明,所提出的性能评价方法可以有效地用于评价机器人的识别性能。
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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