Issue |
E3S Web Conf.
Volume 248, 2021
2021 3rd International Conference on Civil Architecture and Energy Science (CAES 2021)
|
|
---|---|---|
Article Number | 02014 | |
Number of page(s) | 5 | |
Section | Energy Technology Application and Energy Saving and Emission Reduction Research and Development | |
DOI | https://doi.org/10.1051/e3sconf/202124802014 | |
Published online | 12 April 2021 |
Design of Remote Driving Wheeled Robot
1 School of Management, Wuhan University of Technology, Wuhan, China
2 School of Information Engineering, Wuhan University of Technology, Wuhan, China
2,* School of Information Engineering, Wuhan University of Technology, Wuhan, China
With the continuous advancement of high technology such as cloud computing, artificial intelligence, modern sensing, information fusion, communication and automatic control, the development speed of unmanned vehicles will continue to accelerate, and the acceptance and demand of unmanned, vehicles will also gradually promoted. Although unmanned vehicles have not yet been widely promoted, their applicable fields are gradually emerging. Transportation, logistics, environmental sanitation, and security inspections will be its main application areas. This project intends to design and produce an unmanned vehicle based on embedded systems and the Internet of Things, and add a machine vision system to enable it to complete the required operations in different scenarios. In order to complete the operation requirements in different scenarios, the unmanned vehicle designed in this project can realize the remote control of the car to complete forward, backward, and steering actions through a driving simulator.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.