STM32-Based Control System Design for Orbiting Binocular Vision Mobile Platforms

To address the limitations of traditional binocular vision mobile platforms—such as the lack of remote controllability, low intelligence levels, and insufficient environmental information—a binocular vision mobile platform control system based on STM32 was designed. The system utilizes an STM32F103C8T6 microcontroller as the core controller to govern platform motion and acquire environmental data. Communication with the host computer is implemented via the CAN bus, enabling real-time command exchange for remote monitoring. Experimental validation confirms the system’s stable operation, demonstrating its capability for real-time remote status monitoring and environmental data acquisition. The simulated track deformation test demonstrated that the system achieves submillimeter-level measurement accuracy, with a mean absolute error (MAE) of 0.05415 and relative standard deviation (RSD) of 13.163% for incremental/decremental displacement measurements across all three axes ( X , Y , and Z ). These precision metrics establish a robust technical foundation for developing advanced control systems for binocular vision mobile platforms.

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Publication Details

Journal
Journal of Robotics and Mechatronics
Published
2025-10-19
DOI
https://doi.org/10.20965/jrm.2025.p1230
Primary Topic
Advanced Vision and Imaging
Type
article
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article

STM32-Based Control System Design for Orbiting Binocular Vision Mobile Platforms

Zhuanping Qin, Guangda Lu, Zheng Li, Tengfei Ma
Journal of Robotics and Mechatronics
Advanced Vision and Imaging
article

STM32-Based Control System Design for Orbiting Binocular Vision Mobile Platforms

Zhuanping Qin, Guangda Lu, Zheng Li, Tengfei Ma
article en

Abstract

To address the limitations of traditional binocular vision mobile platforms—such as the lack of remote controllability, low intelligence levels, and insufficient environmental information—a binocular vision mobile platform control system based on STM32 was designed. The system utilizes an STM32F103C8T6 microcontroller as the core controller to govern platform motion and acquire environmental data. Communication with the host computer is implemented via the CAN bus, enabling real-time command exchange for remote monitoring. Experimental validation confirms the system’s stable operation, demonstrating its capability for real-time remote status monitoring and environmental data acquisition. The simulated track deformation test demonstrated that the system achieves submillimeter-level measurement accuracy, with a mean absolute error (MAE) of 0.05415 and relative standard deviation (RSD) of 13.163% for incremental/decremental displacement measurements across all three axes ( X , Y , and Z ). These precision metrics establish a robust technical foundation for developing advanced control systems for binocular vision mobile platforms.

Journal of Robotics and MechatronicsVol. 37(5)
Tianjin University of Technology and Education (CN)
Openalex Percentile: Top 71%
Advanced Vision and Imaging
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STM32-Based Control System Design for Orbiting Binocular Vision Mobile Platforms — Zhuanping Qin, Guangda Lu, et al. · Journal of Robotics and Mechatronics (2025) | TGRS Research Map | TGRS