An End-to-End Solution to Autonomous Driving Based on Xilinx FPGA

Nowadays, the autonomous driving topic is very hot, many people are trying to provide a solution to this problem. This time we build our own auto-driving car based on Xilinx Pynq-Z2, it provides an end-to-end solution which inputs images from camera and outputs control instructions directly. The platform also uses the power of Deep learning Processing Unit(DPU) to accelerate the inference process and provides a simulator for training and testing in virtual environment. If the car meets some situations which cannot be handled by AI model, it's easy to add extra traditional computer vision functions to our control system. So our platform can help people who want to try autonomous driving build their own model and test it efficiently. We hope that our platform can be easy to use and extend.