RLMD: A Dataset for Road Marking Segmentation

Heng Chih Hsiao*, Yi Chang Cai, Huei Yung Lin, Wei Chen Chiu, Chiao Tung Chan

*此作品的通信作者

研究成果: Conference contribution同行評審

摘要

Road marking recognition is an important task for advanced driver assistance systems and autonomous vehicle. In the existing research, most techniques focus on detection mainly due to the lack of segmentation datasets. The segmentation of road markings can be used to understand the traffic regulations, as well as for vehicle localization. This paper introduces a road marking segmentation dataset, RLMD. It consists of 700 images annotated with 25 categories. The effectiveness of our dataset is evaluated using state-of-the-art segmentation techniques. The performance comparison is performed with well-known public datasets, Bdd100k and CeyMo. The dataset and code are made available publicly at https://github.com/stu9113611/RLMD.

原文English
主出版物標題2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面427-428
頁數2
ISBN(電子)9798350324174
DOIs
出版狀態Published - 2023
事件2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Pingtung, Taiwan
持續時間: 17 7月 202319 7月 2023

出版系列

名字2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings

Conference

Conference2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023
國家/地區Taiwan
城市Pingtung
期間17/07/2319/07/23

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