Design and Realization of Intelligent Trace Vehicle System Based on Machine Vision and Advanced Control Algorithm
In this paper, an intelligent trajectory cart system based on machine vision and advanced control algorithms is designed and realized<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</sup>. The system integrates high-precision visual sensing technology, which can capture and analyze the road image in real time, provide accurate positioning and navigation information for the trolley, and ensure autonomous navigation and effective obstacle avoidance under the complex and changing road environment. STC32F12K microcontroller as the core control unit is responsible for efficiently processing the data transmitted from the visual sensors and issuing control commands based on the advanced control algorithms, so as to make the trolley able to Flexible and stable trajectory movement. In addition, the system also integrates distance measurement and obstacle avoidance warning functions to further enhance safety and reliability. The design and realization of this intelligent trajectory trolley system not only demonstrates the advanced technology of machine vision and control algorithm, but also provides strong support for the application of greenhouse greenhouse intelligent irrigation and other agricultural automation fields, which promotes the development of precision agriculture and improves the production efficiency.
Authors
- Yan Yang (ORCID: https://orcid.org/0000-0003-3463-2623)
- Jiali Zhang (ORCID: https://orcid.org/0009-0004-6426-2883)
Institutions
- Panzhihua University (CN)
Publication Details
- Published
- 2025-03-21
- DOI
- https://doi.org/10.1109/icaace65325.2025.11020308
- Primary Topic
- E-commerce and Technology Innovations
- Type
- article
- Field-Weighted Citation Impact
- 0.00