@inproceedings{e797709abd634bb996bd32427929ab7f,
title = "Visual-Solid-State-LiDAR Odometry and Mapping",
abstract = "Mapping through 3D lidar remains a popular technology. In the paper, we propose a method based on image to extract point cloud edge features. The image line features are mapped to the point cloud by using the camera internal and external parameter matrix obtained in advance. In addition, we propose an improved region growing method to extract the plane features in the point cloud, which has higher robustness than the method based on principal component analysis. In indoor experimental scenarios, we compare the existing methods (Li-Ho and Lili-OM) with our proposed methods. The results verified that our method can achieve a higher accuracy and frame rate.",
keywords = "Mapping, Odometry, Solid-State-Lidar",
author = "Yiwei Xiong and Aiying Yang and Huicheng Li and Zhao Zhou and Minqi Gao",
note = "Publisher Copyright: {\textcopyright} 2022 SPIE.; 2021 International Conference on Optical Instruments and Technology: Advanced Laser Technology and Applications ; Conference date: 08-04-2022 Through 10-04-2022",
year = "2022",
doi = "10.1117/12.2616536",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Zhiyi Wei and Chunqing Gao and Pu Wang",
booktitle = "2021 International Conference on Optical Instruments and Technology",
address = "United States",
}