Shape Recognition of Metallic Landmark and its Application to Self-Position Estimation for Mobile Robot | Zendy

Hajime Fujii | Zendy; Yoshinobu ANDO | Zendy; Takashi Yoshimi | Zendy; Makoto Mizukawa | Zendy

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Shape Recognition of Metallic Landmark and its Application to Self-Position Estimation for Mobile Robot

Author(s) -

Hajime Fujii,

Yoshinobu ANDO,

Takashi Yoshimi,

Makoto Mizukawa

Publication year - 2010

Publication title -

journal of robotics and mechatronics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.257

H-Index - 19

eISSN - 1883-8049

pISSN - 0915-3942

DOI - 10.20965/jrm.2010.p0718

Subject(s) - landmark , computer vision , artificial intelligence , computer science , position (finance) , robot , pose , global positioning system , mobile robot , mobile device , estimation , engineering , telecommunications , finance , economics , systems engineering , operating system

This paper proposes a method of improving selfposition estimation accuracy with metallic landmarks for mobile robots. Many methods of the past selfposition estimation researches have used GPS, laserrange scanners, and CCD cameras, but have been unable to obtain landmark information correctly due to environmental factors. Metallic landmarks are useful in environments where conventional sensors do not work well. Self-position estimation accuracy is thus increased by combining metallic landmark information with that from other equipment.

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