| Title: | OS10-3 Intelligent Electronic Guide Dog |
|---|---|
| Publication: | ICAROB2023 |
| Volume: | 28 |
| Pages: | 259-264 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2023.OS10-3 |
| Author(s): | Mengyu Liu, Yande Xiang, Zhi Qiao, Tao Zhu |
| Publication Date: | February 9, 2023 |
| Keywords: | stm32, Jetson Nano, gps navigation, ultrasonic sensor, camera recognition |
| Abstract: | There are a large number of blind people in the world, and the scale is still increasing, so the scarcity of blind guide products has always been a difficult problem to be solved urgently. Although some intelligent blind guide products have flooded into the market in recent years, such as guide boxes, guide battles, etc., but most of their functions only stay in the obstacle avoidance stage, lack of path planning, intelligent recognition functions and are not easy to carry. Based on the above shortcomings, an intelligent mobile blind guide robot is designed in this paper. The blind guide robot is equipped with a variety of sensors and combined with the powerful computing power of the main control board to form a complete obstacle avoidance system to achieve autonomous navigation and obstacle avoidance in a complex environment. It controls GPS positioning through Jetson-Nano, plans the route, detects obstacles with the help of cameras and ultrasonic sensors, and gives users feedback through the alarm sound of the buzzer. |
| PDF File: | https://alife-robotics.co.jp/members2023/icarob/data/html/data/OS/OS10/OS10-3.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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