Artificial Intelligence-driven Autonomous Driving System Implementation
This article provides a design scheme for an artificial intelligence-driven autonomous driving system,with hardware as the basis and software as the implementation details.The sys-tem uses Baidu Edgeboard development board as the upper computer and Infineon AURIX TC264 as the lower computer.It collects images through the camera and uses the FPGA module to implement Al model deployment.After identifying and accelerating,the PID algorithm is used to control the motor speed and the PD link to control the steering angle after transmitting the information to achieve closed-loop control of the vehicle's speed and direction.The overall design is stable and feasible,and can simulate traffic conditions in the real world.
intelligent vehicletrack recognitiontarget detectionPID control algorithmmod-ule design
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