车道检测系统中深度学习和非深度学习方法的研究进展

2020 IEEE 8th Conference on Systems, Process and Control (ICSPC) Pub Date : 2020-12-11 DOI:10.1109/ICSPC50992.2020.9305788

Muhammad Jefri Muril, Nor Hidayati Abdul Aziz, Hadhrami Ab. Ghani, Nor Azlina Ab. Aziz

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引用次数: 4

摘要

车道检测是道路安全分析的重要内容之一。随着科技的进步，道路事故的数量可以通过实施一些预防措施来减少，其中之一就是使用车道检测系统。综述了近年来用于车道检测系统的深度学习和非深度学习方法。

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A Review on Deep Learning and Nondeep Learning Approach for Lane Detection System

Lane detection is one of the essential elements in road safety analysis. With the enhancement of technologies nowadays, the number of road accidents can be reduced by implementing a few preventive actions, one of it is by using a lane detection system. The authors review the recent deep learning and non-deep learning approach for lane detection system.

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2020 IEEE 8th Conference on Systems, Process and Control (ICSPC)

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