Autonomous Control System for Intelligent Vehicles Based on OpenMV

In this paper, an Autonomous Control system for intelligent vehicles is proposed, aiming to solve the traditional problem of relying on manual remote control and lack of intelligent autonomous decision-making ability, as well as to improve its terrain adaptation ability. The system adopts OpenMV hardware as the visual sensing device and combines with an STM32 control board to perform task control to ensure the efficiency and stability of operation. By integrating fuzzy logic algorithm, machine learning and image processing technology, the system optimizes motion control, target recognition and autonomous decision-making capability. The experimental results show that the design has good practicability in path planning, Explosive Ordnance Disposal (Eod) and Rescue tasks, providing a more efficient and reliable solution for intelligent emergency rescue and public safety.