针对恶劣驾驶环境的稳健车道跟踪

2023 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2023-02-05 DOI:10.1109/ICEIC57457.2023.10049885

Seunghyon Lee, Hyuk-Ju Kwon, Sung-Hak Lee

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引用次数: 0

摘要

最近，自动驾驶产业正在迅速扩张。因此，对于一个安全的系统来说，对车道检测性能的要求很高。在本文中，我们提出了即使在恶劣环境下，鲁棒车道检测和跟踪算法。提高车道检测精度可以提高车道保持辅助系统(LKAS)的安全性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Robust Lane Tracking for Harsh Driving Environments

Recently, the industry for autonomous driving is expanding rapidly. Therefore for a safe system, it require high lane detection performance. In this paper, we propose robust lane detection and a tracking algorithm even though under harsh environments. High lane detection accuracy can make more safe Lane Keeping Assist System(LKAS).

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来源期刊

2023 International Conference on Electronics, Information, and Communication (ICEIC)

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