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Hardware Acceleration of Lane Detection Algorithm: A GPU Versus FPGA Comparison

2022-12-19 13:53:04
Mohamed Alshemi, Sherif Saif, Mohamed Taher
arXiv_CV
         
Abstract

A Complete Computer vision system can be divided into two main categories: detection and classification. The Lane detection algorithm is a part of the computer vision detection category and has been applied in autonomous driving and smart vehicle systems. The lane detection system is responsible for lane marking in a complex road environment. At the same time, lane detection plays a crucial role in the warning system for a car when departs the lane. The implemented lane detection algorithm is mainly divided into two steps: edge detection and line detection. In this paper, we will compare the state-of-the-art implementation performance obtained with both FPGA and GPU to evaluate the trade-off for latency, power consumption, and utilization. Our comparison emphasises the advantages and disadvantages of the two systems.

Abstract (translated)

URL

https://arxiv.org/abs/2212.09460

PDF

https://arxiv.org/pdf/2212.09460.pdf

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