| Title |
Guidance Lanes and Driving Algorithms Based on Computer Vision for Speed Control of Autonomous Mobile Robot |
| Authors |
김정주(Jung-Ju Kim) ; 최재훈(Jae-Hoon Choi) ; 김동진(Dong-Jin Kim) ; 최상열(Sang-Yule Choi) |
| DOI |
https://doi.org/10.5370/KIEE.2024.73.2.433 |
| Keywords |
Autonomous Mobile Robot; Deep Learning; Image Processing; Computer Vision; Guidance Lane |
| Abstract |
Conventional mobile robots control driving speed using various sensors data. However, in this paper, we present the speed control method for mobile robot using a single vision sensor and a guidance lane. The proposed guidance lane contains the speed control information of the mobile robot. In addition, installation is simple and economical without the need for embedding separate guidance devices. The speed control accuracy of the mobile robot was obtained through experiments. The experimental results demonstrated that the mobile robot system proposed in this paper is capable of accurate speed control with an accuracy of 97.30 %. Therefore, it is expected to make an important contribution to expanding the scope of use of mobile robots to various application fields. |