@inproceedings{cb77011ac4234591b2471b2f9b05e3f8,
title = "A Line Descriptor for SLAM (LDFS)",
abstract = "Finding feature correspondence is difficult in low textured scenes, which reduces the performance of simultaneous localization and mapping (SLAM). However, lines that are easy to find can solve this problem well. Generally, features cannot be directly matched, it is necessary to perform some calculations on the features to describe the features and obtain descriptors. In this way, the matching of features can be converted into the matching of descriptors. This article mainly introduces a type of line descriptor that is appropriate for SLAM system. The descriptor fully considers the characteristics of the SLAM system and the geometric constrains of line support regions. The advantage of this line descriptor are as follows: (1) It is more suitable for SLAM system; (2) It is invariant to transformation to some degree; (3) It is robust facing extreme scenes.",
keywords = "Descriptor matching, Line feature, Robust, Suitable for SLAM",
author = "Chao Wang and Shen, \{Xiao Rong\} and Lei Ji",
note = "Publisher Copyright: {\textcopyright} 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; International Conference on Guidance, Navigation and Control, ICGNC 2020 ; Conference date: 23-10-2020 Through 25-10-2020",
year = "2022",
doi = "10.1007/978-981-15-8155-7\_379",
language = "英语",
isbn = "9789811581540",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "4581--4593",
editor = "Liang Yan and Haibin Duan and Xiang Yu",
booktitle = "Advances in Guidance, Navigation and Control - Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020",
address = "德国",
}