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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