{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,24]],"date-time":"2025-05-24T06:10:02Z","timestamp":1748067002426,"version":"3.41.0"},"reference-count":22,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,5,24]],"date-time":"2025-05-24T00:00:00Z","timestamp":1748044800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,5,24]],"date-time":"2025-05-24T00:00:00Z","timestamp":1748044800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Discov Computing"],"DOI":"10.1007\/s10791-025-09598-y","type":"journal-article","created":{"date-parts":[[2025,5,24]],"date-time":"2025-05-24T05:34:55Z","timestamp":1748064895000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A robust visual SLAM method based on point feature fusion"],"prefix":"10.1007","volume":"28","author":[{"given":"Lihuan","family":"Shao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qinglei","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiwei","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhen","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,5,24]]},"reference":[{"key":"9598_CR1","doi-asserted-by":"crossref","unstructured":"Engel J, Schops T, Cremers D. Lsd-slam: Large-scale direct monocular slam, vol. 8690 LNCS. Zurich, Switzerland, 2014;pp. 834\u2013849 . 3-D environments;Dense depth map;Image alignment;Pose estimation;Probabilistic solution;Small baselines;State of the art;Tracking method;","DOI":"10.1007\/978-3-319-10605-2_54"},{"issue":"2","key":"9598_CR2","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1109\/TRO.2016.2623335","volume":"33","author":"C Forster","year":"2017","unstructured":"Forster C, Zhang Z, Gassner M, Werlberger M, Scaramuzza D. Svo: semidirect visual odometry for monocular and multicamera systems. IEEE Trans Rob. 2017;33(2):249\u201365. https:\/\/doi.org\/10.1109\/TRO.2016.2623335.","journal-title":"IEEE Trans Rob"},{"issue":"3","key":"9598_CR3","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1109\/TPAMI.2017.2658577","volume":"40","author":"J Engel","year":"2018","unstructured":"Engel J, Koltun V, Cremers D. Direct sparse odometry. IEEE Trans Pattern Anal Machine Intell. 2018;40(3):611\u201325. https:\/\/doi.org\/10.1109\/TPAMI.2017.2658577.","journal-title":"IEEE Trans Pattern Anal Machine Intell"},{"key":"9598_CR4","unstructured":"Martinez CC, Elvira R, Gomez\u00a0Rodriguez JJ, Montiel JMM, Tardos JD. ORB-SLAM3: An accurate open-source library for visual, visual-inertial and multi-map SLAM 2020"},{"issue":"5","key":"9598_CR5","doi-asserted-by":"publisher","first-page":"1255","DOI":"10.1109\/TRO.2017.2705103","volume":"33","author":"R Mur-Artal","year":"2017","unstructured":"Mur-Artal R, Tard\u00f3s JD. Orb-slam2: an open-source slam system for monocular, stereo, and rgb-d cameras. IEEE Trans Rob. 2017;33(5):1255\u201362. https:\/\/doi.org\/10.1109\/TRO.2017.2705103.","journal-title":"IEEE Trans Rob"},{"key":"9598_CR6","doi-asserted-by":"publisher","unstructured":"Pumarola A, Vakhitov A, Agudo A, Sanfeliu A, Moreno-Noguer F. Pl-slam: Real-time monocular visual slam with points and lines. In: 2017 IEEE International Conference on Robotics and Automation (ICRA), pp. 4503\u20134508 2017. https:\/\/doi.org\/10.1109\/ICRA.2017.7989522","DOI":"10.1109\/ICRA.2017.7989522"},{"key":"9598_CR7","doi-asserted-by":"publisher","unstructured":"Pan G, Fan Y, Guo Y. A low-texture monocular visual odometer based on point-line feature. In: 2021 5th International Conference on Robotics and Automation Sciences (ICRAS), 2021 pp. 216\u2013220 . https:\/\/doi.org\/10.1109\/ICRAS52289.2021.9476464","DOI":"10.1109\/ICRAS52289.2021.9476464"},{"issue":"4","key":"9598_CR8","doi-asserted-by":"publisher","first-page":"8681","DOI":"10.1109\/LRA.2021.3113987","volume":"6","author":"H Wei","year":"2021","unstructured":"Wei H, Tang F, Xu Z, Zhang C, Wu Y. A point-line vio system with novel feature hybrids and with novel line predicting-matching. IEEE Rob Auto Lett. 2021;6(4):8681\u20138. https:\/\/doi.org\/10.1109\/LRA.2021.3113987.","journal-title":"IEEE Rob Auto Lett"},{"issue":"24","key":"9598_CR9","doi-asserted-by":"publisher","first-page":"27967","DOI":"10.1109\/JSEN.2021.3123973","volume":"21","author":"G Yang","year":"2021","unstructured":"Yang G, Wang Q, Liu P, Yan C. Pls-vins: Visual inertial state estimator with point-line features fusion and structural constraints. IEEE Sens J. 2021;21(24):27967\u201381. https:\/\/doi.org\/10.1109\/JSEN.2021.3123973.","journal-title":"IEEE Sens J"},{"key":"9598_CR10","doi-asserted-by":"publisher","unstructured":"Wen H, Tian J, Li D. Pls-vio: Stereo vision-inertial odometry based on point and line features. In: 2020 International Conference on High Performance Big Data and Intelligent Systems (HPBD &IS), pp. 1\u20137 2020. https:\/\/doi.org\/10.1109\/HPBDIS49115.2020.9130571","DOI":"10.1109\/HPBDIS49115.2020.9130571"},{"key":"9598_CR11","doi-asserted-by":"publisher","unstructured":"Ma X, Ning S. Real-time visual-inertial slam with point-line feature using improved edlines algorithm. In: 2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC), pp. 1323\u20131327 2020. https:\/\/doi.org\/10.1109\/ITOEC49072.2020.9141875","DOI":"10.1109\/ITOEC49072.2020.9141875"},{"key":"9598_CR12","doi-asserted-by":"publisher","unstructured":"Zhang W, Wang S, Haala N. Towards robust indoor visual slam and dense reconstruction for mobile robots, vol. 5. Nice, France, pp. 211\u2013219 2022. \u2019current;Dense reconstruction;Function maps;Long term drift;Mutil-sensor fusion;Sensor fusion;Signed distance function;Trajectory estimation;Truncated signed distance function map;Visual SLAM;. https:\/\/doi.org\/10.5194\/isprs-annals-V-1-2022-211-2022","DOI":"10.5194\/isprs-annals-V-1-2022-211-2022"},{"key":"9598_CR13","doi-asserted-by":"crossref","unstructured":"Triggs B, McLauchlan PF, Hartley RI, Fitzgibbon AW. Bundle adjustment a modern synthesis, vol. 1883. Corfu, Greece, pp. 298\u2013372, 2000. Bundle adjustments;Non-linear least squares;Numerical optimizations;Robust cost function;Scene reconstruction;Sparse matrices;Vision communities;Visual reconstruction;","DOI":"10.1007\/3-540-44480-7_21"},{"issue":"10","key":"9598_CR14","first-page":"242","volume":"38","author":"M Cheng","year":"2021","unstructured":"Cheng M, Chen L, Yang Q. Monocular visual slam algorithm based on improved orb feature. Comput Appl Soft. 2021;38(10):242\u2013248266.","journal-title":"Comput Appl Soft"},{"issue":"4","key":"9598_CR15","doi-asserted-by":"publisher","first-page":"3505","DOI":"10.1109\/LRA.2019.2927954","volume":"4","author":"J Tang","year":"2019","unstructured":"Tang J, Ericson L, Folkesson J, Jensfelt P. Gcnv2: efficient correspondence prediction for real-time slam. IEEE Rob Auto Lett. 2019;4(4):3505\u201312. https:\/\/doi.org\/10.1109\/LRA.2019.2927954.","journal-title":"IEEE Rob Auto Lett"},{"issue":"2","key":"9598_CR16","doi-asserted-by":"publisher","first-page":"1010","DOI":"10.1109\/LRA.2018.2794624","volume":"3","author":"J Tang","year":"2018","unstructured":"Tang J, Folkesson J, Jensfelt P. Geometric correspondence network for camera motion estimation. IEEE Rob Auto Lett. 2018;3(2):1010\u20137. https:\/\/doi.org\/10.1109\/LRA.2018.2794624.","journal-title":"IEEE Rob Auto Lett"},{"key":"9598_CR17","first-page":"4474","volume":"12","author":"QU Islam","year":"2024","unstructured":"Islam QU, Ibrahim H, Chin PK, Lim K, Abdullah MZ, Khozaei F. Advancing real-world visual slam: Integrating adaptive segmentation with dynamic object detection for enhanced environmental perception. Expert Syst Appl. 2024;12:4474.","journal-title":"Expert Syst Appl"},{"key":"9598_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.displa.2024.102654","volume":"82","author":"QU Islam","year":"2024","unstructured":"Islam QU, Ibrahim H, Chin PK, Lim K, Abdullah MZ, Khozaei F. Ard-slam: accurate and robust dynamic slam using dynamic object identification and improved multi-view geometrical approaches. Displays. 2024;82: 102654.","journal-title":"Displays"},{"issue":"1","key":"9598_CR19","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1002\/rob.22248","volume":"41","author":"QU Islam","year":"2024","unstructured":"Islam QU, Ibrahim H, Chin PK, Lim K, Abdullah MZ. Mvs-slam: enhanced multiview geometry for improved semantic RGBD slam in dynamic environment. J Field Rob. 2024;41(1):109\u201330.","journal-title":"J Field Rob"},{"key":"9598_CR20","doi-asserted-by":"crossref","unstructured":"Islam QU, Ibrahim H, Chin PK, Lim K, Abdullah MZ. Dynamic object-aware slam: Yolov8 integration and enhanced multi-view geometry for reliable mapping in dynamic environment. In: 2023 7th International Conference on Imaging, Signal Processing and Communications (ICISPC), pp. 22\u201331 2023. IEEE","DOI":"10.1109\/ICISPC59567.2023.00013"},{"issue":"3","key":"9598_CR21","first-page":"254","volume":"43","author":"QU Islam","year":"2023","unstructured":"Islam QU, Ibrahim H, Chin PK, Lim K, Abdullah MZ. Fadm-slam: a fast and accurate dynamic intelligent motion slam for autonomous robot exploration involving movable objects. Rob Intell Auto. 2023;43(3):254\u201366.","journal-title":"Rob Intell Auto"},{"key":"9598_CR22","doi-asserted-by":"publisher","unstructured":"Xiao J, Owens A, Torralba A. Sun3d: A database of big spaces reconstructed using sfm and object labels. In: 2013 IEEE International Conference on Computer Vision, pp. 1625\u20131632, 2013. https:\/\/doi.org\/10.1109\/ICCV.2013.458","DOI":"10.1109\/ICCV.2013.458"}],"container-title":["Discover Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10791-025-09598-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10791-025-09598-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10791-025-09598-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,24]],"date-time":"2025-05-24T05:34:57Z","timestamp":1748064897000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10791-025-09598-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,24]]},"references-count":22,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["9598"],"URL":"https:\/\/doi.org\/10.1007\/s10791-025-09598-y","relation":{},"ISSN":["2948-2992"],"issn-type":[{"value":"2948-2992","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,24]]},"assertion":[{"value":"31 May 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 May 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 May 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable (this article does not contain any studies with human participants or animals performed by any of the authors).All authors have participated in conception and design, or analysis and interpretation of the data; drafting the article or revising it critically for important intellectual content, and approval of the final version.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"All authors consent to publication.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors have no relevant financial or nonfinancial interests to disclose.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"89"}}