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- W4312001617 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." @default.
- W4312001617 created "2023-01-03" @default.
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- W4312001617 date "2022-12-17" @default.
- W4312001617 modified "2023-10-02" @default.
- W4312001617 title "Hardware Acceleration of Lane Detection Algorithm: A GPU Versus FPGA Comparison" @default.
- W4312001617 doi "https://doi.org/10.5121/csit.2022.122215" @default.
- W4312001617 hasPublicationYear "2022" @default.
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