{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T09:10:25Z","timestamp":1790673025108,"version":"4.1.0"},"reference-count":21,"publisher":"Springer Science and Business Media LLC","issue":"21","license":[{"start":{"date-parts":[[2023,8,11]],"date-time":"2023-08-11T00:00:00Z","timestamp":1691712000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,8,11]],"date-time":"2023-08-11T00:00:00Z","timestamp":1691712000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100007241","name":"Universit\u00e9 Paris-Saclay","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100007241","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2023,11]]},"DOI":"10.1007\/s10489-023-04720-3","type":"journal-article","created":{"date-parts":[[2023,8,11]],"date-time":"2023-08-11T20:32:55Z","timestamp":1691785975000},"page":"25802-25815","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["DAM-SLAM: depth attention module in a semantic visual SLAM based on objects interaction for dynamic environments"],"prefix":"10.1007","volume":"53","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3039-232X","authenticated-orcid":false,"given":"Beghdadi","family":"Ayman","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mallem","family":"Malik","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Beji","family":"Lotfi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,8,11]]},"reference":[{"issue":"6","key":"4720_CR1","doi-asserted-by":"publisher","first-page":"1052","DOI":"10.1109\/TPAMI.2007.1049","volume":"29","author":"AJ Davison","year":"2007","unstructured":"Davison AJ, Reid ID, Molton ND, Stasse O (2007) MonoSLAM: Real-time single camera SLAM. IEEE transactions on pattern analysis and machine intelligence 29(6):1052\u20131067","journal-title":"IEEE transactions on pattern analysis and machine intelligence"},{"key":"4720_CR2","doi-asserted-by":"crossref","unstructured":"Klein, G, & Murray, D (2007) Parallel tracking and mapping for small AR workspaces. In 2007 6th IEEE and ACM international symposium on mixed and augmented reality (pp 225-234) IEEE","DOI":"10.1109\/ISMAR.2007.4538852"},{"issue":"5","key":"4720_CR3","doi-asserted-by":"publisher","first-page":"1147","DOI":"10.1109\/TRO.2015.2463671","volume":"31","author":"R Mur-Artal","year":"2015","unstructured":"Mur-Artal R, Montiel JMM, Tardos JD (2015) ORB-SLAM: a versatile and accurate monocular SLAM system. IEEE transactions on robotics 31(5):1147\u20131163","journal-title":"IEEE transactions on robotics"},{"key":"4720_CR4","doi-asserted-by":"crossref","unstructured":"Campos Carlos et al (2021) Orb-slam3: An accurate open-source library for visual, visual\u2013inertial, and multimap slam. IEEE Transactions on Robotics 37(6):1874\u20131890","DOI":"10.1109\/TRO.2021.3075644"},{"issue":"5","key":"4720_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 (2017) Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras. IEEE transactions on robotics 33(5):1255\u20131262","journal-title":"IEEE transactions on robotics"},{"issue":"4","key":"4720_CR6","doi-asserted-by":"publisher","first-page":"1004","DOI":"10.1109\/TRO.2018.2853729","volume":"34","author":"T Qin","year":"2018","unstructured":"Qin T, Li P, Shen S (2018) Vins-mono: A robust and versatile monocular visual-inertial state estimator. IEEE Transactions on Robotics 34(4):1004\u20131020","journal-title":"IEEE Transactions on Robotics"},{"issue":"4","key":"4720_CR7","doi-asserted-by":"publisher","first-page":"4076","DOI":"10.1109\/LRA.2018.2860039","volume":"3","author":"B Bescos","year":"2018","unstructured":"Bescos B, F\u00e1cil JM, Civera J, Neira J (2018) DynaSLAM: Tracking, mapping, and inpainting in dynamic scenes. IEEE Robotics and Automation Letters 3(4):4076\u20134083","journal-title":"IEEE Robotics and Automation Letters"},{"key":"4720_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.robot.2019.03.012","volume":"117","author":"L Xiao","year":"2019","unstructured":"Xiao L, Wang J, Qiu X, Rong Z, Zou X (2019) Dynamic-SLAM: Semantic monocular visual localization and mapping based on deep learning in dynamic environment. Robotics and Autonomous Systems 117:1\u201316","journal-title":"Robotics and Autonomous Systems"},{"key":"4720_CR9","doi-asserted-by":"crossref","unstructured":"Yu, C, Liu, Z, Liu, X. J, Xie, F, Yang, Y, Wei, Q, & Fei, Q (2018) DS-SLAM: A semantic visual SLAM towards dynamic environments. In 2018 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp 1168\u20131174) IEEE","DOI":"10.1109\/IROS.2018.8593691"},{"issue":"3","key":"4720_CR10","doi-asserted-by":"publisher","first-page":"795","DOI":"10.3390\/rs14030795","volume":"14","author":"L Yan","year":"2022","unstructured":"Yan L, Hu X, Zhao L, Chen Y, Wei P, Xie H (2022) DGS-SLAM: a fast and robust rgbd slam in dynamic environments combined by geometric and semantic information. Remote Sensing 14(3):795","journal-title":"Remote Sensing"},{"issue":"4","key":"4720_CR11","doi-asserted-by":"publisher","first-page":"202","DOI":"10.3390\/ijgi9040202","volume":"9","author":"J Cheng","year":"2020","unstructured":"Cheng J, Wang Z, Zhou H, Li L, Yao J (2020) DM-SLAM: A feature-based SLAM system for rigid dynamic scenes. ISPRS International Journal of Geo-Information 9(4):202","journal-title":"ISPRS International Journal of Geo-Information"},{"key":"4720_CR12","doi-asserted-by":"publisher","first-page":"166528","DOI":"10.1109\/ACCESS.2019.2952161","volume":"7","author":"L Cui","year":"2019","unstructured":"Cui L, Ma C (2019) SOF-SLAM: A semantic visual SLAM for dynamic environments. IEEE access 7:166528\u2013166539","journal-title":"IEEE access"},{"key":"4720_CR13","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1016\/j.ins.2020.12.019","volume":"556","author":"A Li","year":"2021","unstructured":"Li A, Wang J, Xu M, Chen Z (2021) DP-SLAM: A visual SLAM with moving probability towards dynamic environments. Information Sciences 556:128\u2013142","journal-title":"Information Sciences"},{"key":"4720_CR14","doi-asserted-by":"publisher","first-page":"106981","DOI":"10.1109\/ACCESS.2021.3100426","volume":"9","author":"Y Liu","year":"2021","unstructured":"Liu Y, Miura J (2021) RDMO-SLAM: Real-time visual SLAM for dynamic environments using semantic label prediction with optical flow. IEEE Access 9:106981\u2013106997","journal-title":"IEEE Access"},{"issue":"4","key":"4720_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s00138-022-01306-w","volume":"33","author":"A Beghdadi","year":"2022","unstructured":"Beghdadi A, Mallem M (2022) A comprehensive overview of dynamic visual SLAM and deep learning: concepts, methods and challenges. Machine Vision and Applications 33(4):1\u201328","journal-title":"Machine Vision and Applications"},{"issue":"2","key":"4720_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3177853","volume":"51","author":"MRU Saputra","year":"2018","unstructured":"Saputra MRU, Markham A, Trigoni N (2018) Visual SLAM and structure from motion in dynamic environments: A survey. ACM Computing Surveys (CSUR) 51(2):1\u201336","journal-title":"ACM Computing Surveys (CSUR)"},{"issue":"1","key":"4720_CR17","doi-asserted-by":"publisher","first-page":"24","DOI":"10.3390\/robotics11010024","volume":"11","author":"A Macario Barros","year":"2022","unstructured":"Macario Barros A, Michel M, Moline Y, Corre G, Carrel F (2022) A comprehensive survey of visual slam algorithms. Robotics 11(1):24","journal-title":"Robotics"},{"key":"4720_CR18","doi-asserted-by":"publisher","first-page":"95301","DOI":"10.1109\/ACCESS.2020.2994348","volume":"8","author":"L Cui","year":"2020","unstructured":"Cui L, Ma C (2020) SDF-SLAM: Semantic depth filter SLAM for dynamic environments. IEEE Access 8:95301\u201395311","journal-title":"IEEE Access"},{"key":"4720_CR19","doi-asserted-by":"crossref","unstructured":"Zhang, T, Zhang, H, Li, Y, Nakamura, Y, & Zhang, L (2020) Flowfusion: Dynamic dense rgb-d slam based on optical flow. In 2020 IEEE international conference on robotics and automation (ICRA) (pp 7322\u20137328) IEEE","DOI":"10.1109\/ICRA40945.2020.9197349"},{"key":"4720_CR20","doi-asserted-by":"crossref","unstructured":"Bolya, D, Zhou, C, Xiao, F, & Lee, YJ (2020) Yolact++: Better real-time instance segmentation. IEEE transactions on pattern analysis and machine intelligence","DOI":"10.1109\/ICCV.2019.00925"},{"key":"4720_CR21","doi-asserted-by":"crossref","unstructured":"Sturm, J, Engelhard, N, Endres, F, Burgard, W, & Cremers, D (2012) A benchmark for the evaluation of RGB-D SLAM systems. In 2012 IEEE\/RSJ international conference on intelligent robots and systems (pp 573\u2013580) IEEE","DOI":"10.1109\/IROS.2012.6385773"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-023-04720-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-023-04720-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-023-04720-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T14:23:44Z","timestamp":1698071024000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-023-04720-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,11]]},"references-count":21,"journal-issue":{"issue":"21","published-print":{"date-parts":[[2023,11]]}},"alternative-id":["4720"],"URL":"https:\/\/doi.org\/10.1007\/s10489-023-04720-3","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,8,11]]},"assertion":[{"value":"21 May 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 August 2023","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest or non-financial interest in the subject matter or materials discussed in this manuscript.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}}]}}