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Map Building for Mobile Robots using a SOKUIKI Sensor -Robust Scan Matching using Laser Reflection Intensity

Yoshitaka Hara, Hirohiko Kawata, Akihisa Ohya, Shin’ichi Yuta

发表年份
2006
引用次数
12

摘要

This paper describes map building using a new scan matching method, Intensity-ICP. The method uses laser reflection intensity of a laser range scanner named "SOKUIKI sensor". So compared with conventional scan matching methods which are effective just in geometric featured environments, Intensity-ICP is effective in both geometric featured and non geometric featured environments. We also propose two methods to remove outliers in scan matching. Laser reflection intensity and geometric constraint are used in these methods. As the result of using Intensity-ICP scan matching and outlier removing methods, an accurate map can be built. In addition, the map has abundant information; not only geometric data but also Laser reflection intensity, and it is useful for robust localization

关键词

Reflection (computer programming)Artificial intelligenceOutlierLaser scanningComputer visionIntensity (physics)Computer scienceMatching (statistics)LaserOptics

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