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Grid Map Building through Neighborhood Recognition Factor of Sonar Data

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  • URLhttps://db.koreascholar.com/Article/Detail/973
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로봇학회논문지 (The Journal of Korea Robotics Society)
한국로봇학회 (Korea Robotics Society)
초록

Representing an environment as the probabilistic grids is effective to sense outlines of the environment in the mobile robot area. Outlines of an environment can be expressed factually by using the probabilistic grids especially if sonar sensors would be supposed to build an environment map. However, the difficult problem of a sonar such as a specular reflection phenomenon should be overcome to build a grid map through sonar observations. In this paper, the NRF(Neighborhood Recognition Factor) was developed for building a grid map in which the specular reflection effect is minimized. Also the reproduction rate of the gird map built by using NRF was analyzed with respect to a true map. The experiment was conducted in a home environment to verify the proposed technique.

저자
  • 이세진 | Lee Se-Jin
  • 박병재 | Park Byung-Jae
  • 임종환 | Lim Jong-Hwan
  • 정완균 | Chung Wan-Kyun
  • 조동우 | Cho Dong-Woo