Construction of an Environmental Map including Road Surface Classification Based on a Coaxial Two-Wheeled Robot

dc.contributor.author	SASAKI, Minoru
dc.contributor.author	KUNII, Eita
dc.contributor.author	MATSUSHITA, Kojiro
dc.contributor.author	MUGURO, Joseph K.
dc.date.accessioned	2024-09-19T07:48:55Z
dc.date.available	2024-09-19T07:48:55Z
dc.date.issued	2024-09-19
dc.identifier.citation	SasakiM2019	en_US
dc.identifier.uri	http://localhost/xmlui/handle/123456789/6486
dc.description	Proceedings of the Sustainable Research and Innovation Conference, JKUAT Main Campus, Kenya 8- 10 May, 2019	en_US
dc.description.abstract	This research details the construction of an environmental map as well as road surface identification based on a coaxial two-wheel robot. The proposed system utilizes ROS and SLAM algorithm for indoor/outdoor environment mapping from sensor data and road-surface discriminator based on attitude estimation and image processing. From the research, environmental maps of various road surfaces were constructed and road types successfully identified with 80% accuracy using Deep Learning. Keywords—Coaxial Two-Wheeled Robots, Environment Maps, SLAM, Deep Learning.	en_US
dc.description.sponsorship	Minoru SASAKI Eita KUNII Kojiro MATSUSHITA Joseph K. MUGURO	en_US
dc.language.iso	en	en_US
dc.publisher	JKUAT-COETEC	en_US
dc.subject	Coaxial Two-Wheeled Robots	en_US
dc.subject	Environment Maps	en_US
dc.subject	SLAM	en_US
dc.subject	Deep Learning	en_US
dc.title	Construction of an Environmental Map including Road Surface Classification Based on a Coaxial Two-Wheeled Robot	en_US
dc.type	Article	en_US