Autonomous Vehicle Development Using FPGA for Image Processing

Abstract

This project outlines the steps taken to implement an autonomously driving car. As software-based image processing can be very slow and consume a lot of power, the algorithms have been implemented on an FPGA. To reduce computation times and complexity, opportunities for simplifying the algorithms are explored. White line detection and saturation thresholding is explored for lane and object detection respectively.