@inproceedings{b268337eb3b84398b47c0ae17244251f,
title = "Proof of Concept Design for Terrain Type Recognition in Urban Environments",
abstract = "The autonomous navigation systems of terrestrial mobile robots have shortcomings in recognizing their environment when they move. Therefore, in this research, a conceptual design for the autonomous displacement of the Andromina robot based on Orbbec Astra S hardware was developed, which enables the recognition of the terrain in urban environments using the machine learning technique. In this article, a recognition system has been designed using the embedded system and image processing of the terrain in urban environments, in addition to the flowchart that allows us to know the sequence of actions throughout the process of recognizing the nature of the terrain. In the same way, the electromechanical design is proposed as part of the proof of concept, accompanied by the study of various sources and using a few methods to delimit the subject.",
keywords = "Andromina V2.0., CNN, Navigation, Orbbec Astra S, Triple Diamond, VDI 2225",
author = "Ronald Solano and Jayr Huaman and Deyby Huamanchahua",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2nd International Conference on Robotics, Automation and Artificial Intelligence, RAAI 2022 ; Conference date: 09-12-2022 Through 11-12-2022",
year = "2022",
doi = "10.1109/RAAI56146.2022.10092963",
language = "English",
series = "2022 2nd International Conference on Robotics, Automation and Artificial Intelligence, RAAI 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "63--68",
booktitle = "2022 2nd International Conference on Robotics, Automation and Artificial Intelligence, RAAI 2022",
}