Articles

  • Aug 3, 2024 | mdpi.com | Guohong Liu |Cong Liu |Xianyun Wu Wu |Yunsong Li

    All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.

  • May 15, 2024 | preprints.org | Guohong Liu |Cong Liu |Xianyun Wu Wu |Yunsong Li

    Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 15 May 2024 / Approved: 15 May 2024 / Online: 15 May 2024 (13:31:54 CEST) Liu, G.; Liu, C.; Wu, X.; Li, Y.; Zhang, X.; Xu, J. An Improved Large Kernel-Based Remote Sensing Land Cover Segmentation Algorithm. Preprints 2024, 2024051035. https://doi.org/10.20944/preprints202405.1035.v1 Liu, G.; Liu, C.; Wu, X.; Li, Y.; Zhang, X.; Xu, J. An Improved Large Kernel-Based Remote Sensing Land Cover Segmentation Algorithm.

  • Dec 1, 2023 | arxiv.org | Xiaoyi Fan |Xin Zhang |Yunsong Li |Jie Lei

    arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

  • May 22, 2023 | mdpi.com | Da Xu |Yunsong Li

    Abstract:In the field of unmanned systems, cameras and LiDAR are important sensors that provide complementary information. However, the question of how to effectively fuse data from two different modalities has always been a great challenge. In this paper, inspired by the idea of deep fusion, we propose a one-stage end-to-end network named FusionPillars to fuse multisensor data (namely LiDAR point cloud and camera images).

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