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Development of Autonomous Robot with Simple Navigation System for Tsukuba Challenge 2015

机译:2015年筑波挑战赛的简易导航自主机器人开发

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This paper introduces the robot that was developed for Tsukuba Challenge 2015. One of the team's design goals was to implement a simple sensor configuration and control algorithm. For example, the robot's laser range finders (LRF) were of fixed type, and localization was accomplished using only a single LRF and no other sensor. Environment map matching was achieved using an algorithm that processed pyramid images using binary image processing to reduce computational cost. Shape information from the LRF and color information from a camera were combined to detect a signboard placed near a person. During an actual test in rainy weather, the robot ran the entire course and, detected two, out of a possible four, number of target persons.
机译:本文介绍了为2015年筑波挑战赛开发的机器人。该团队的设计目标之一是实现简单的传感器配置和控制算法。例如,机器人的激光测距仪(LRF)是固定类型的,仅使用一个LRF而不使用其他传感器即可完成定位。使用一种使用二进制图像处理来处理金字塔图像以减少计算成本的算法,可以实现环境图匹配。结合了来自LRF的形状信息和来自相机的颜色信息,以检测放置在人附近的招牌。在下雨天的实际测试中,机器人运行了整个路线,并从可能的四个目标人员中检测出两个。

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