DPL-SLAM: Enhancing Dynamic Point-Line SLAM through dense semantic methods

Lin, Z. , Zhang, Q., Tian, Z., Yu, P. and Lan, J. (2024) DPL-SLAM: Enhancing Dynamic Point-Line SLAM through dense semantic methods. IEEE Sensors Journal, (Accepted for Publication)

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Item Type:Articles
Additional Information:This work was supported in part by the China Scholarship Council Ph.D. Scholarship for 2023-2027 (No.202206170011) and in part by the Leverhulme Trust Early Career Fellowship under Award ECF-2021-517.
Status:Accepted for Publication
Refereed:Yes
Glasgow Author(s) Enlighten ID:Tian, Mr Zhen and Lin, Zhihao and Lan, Dr Jianglin and Yu, Mr Peizhuo
Authors: Lin, Z., Zhang, Q., Tian, Z., Yu, P., and Lan, J.
College/School:College of Science and Engineering
College of Science and Engineering > School of Engineering
College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
Journal Name:IEEE Sensors Journal
Publisher:IEEE
ISSN:1530-437X
ISSN (Online):1558-1748

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
314249Decarbonising Machine Learning for Safe and Robust Autonomous SystemsJianglin LanLeverhulme Trust (LEVERHUL)ECF-2021-517ENG - Autonomous Systems & Connectivity