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Autonomous Driving Developed with an FPGA Design

For this project, the task is developing algorithms to program a FPGA controlled vehicle for the FPT'19 design competition. This competition is to encourage the development of level 5 self-driving cars. To achieve level 5 self-driving cars, the use of image processing for object detection, lane detection, traffic light detection and pedestrian detection will be required. With this detection, the vehicle can be guided safely around the track provided. This paper summarises the algorithms developed to achieve autonomous driving techniques, following the regulations of the competition.