Vision-based navigation in service robotics

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Abstract

The paper describes an integrated mobile robot which has been designed to perform autonomous mission in service robotics. Computer Vision represents the main sensory system for autonomous navigation by artificial landmark recognition and 3D location. The orientation control through vanishing point analysis is performed by Kalman filtering. The system is proved to successfully work in a crowded scenario, it requires minimal impact on the environment, with a friendly user interface.

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APA

Garibotto, G., Ilic, M., & Masciangelo, S. (1995). Vision-based navigation in service robotics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 974, pp. 313–318). Springer Verlag. https://doi.org/10.1007/3-540-60298-4_276

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