{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T11:06:28Z","timestamp":1706785588315},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2022,6,10]],"date-time":"2022-06-10T00:00:00Z","timestamp":1654819200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,6,10]],"date-time":"2022-06-10T00:00:00Z","timestamp":1654819200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Artif Life Robotics"],"published-print":{"date-parts":[[2022,8]]},"DOI":"10.1007\/s10015-022-00766-7","type":"journal-article","created":{"date-parts":[[2022,6,10]],"date-time":"2022-06-10T14:22:40Z","timestamp":1654870960000},"page":"568-575","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Higher accuracy self-supervised visual odometry with reliable projection"],"prefix":"10.1007","volume":"27","author":[{"given":"Shi","family":"Zhou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zijun","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Miaomiao","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"He","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seiichi","family":"Serikawa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mitsunori","family":"Mizumachi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lifeng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,6,10]]},"reference":[{"key":"766_CR1","unstructured":"Tripathi N, Sistu G, Yogamani S (2020) Trained trajectory based automated parking system using visual slam. pp 1\u20136"},{"key":"766_CR2","doi-asserted-by":"crossref","unstructured":"Xu D, Chen Y, Lin C et al (2012) Real-time dynamic gesture recognition system based on depth perception for robot navigation. In: Proceedings of the IEEE conference on robotics and biomimetics, pp 689\u2013694","DOI":"10.1109\/ROBIO.2012.6491047"},{"issue":"7","key":"766_CR3","first-page":"1","volume":"3","author":"C Wei","year":"2021","unstructured":"Wei C, Li A (2021) Overview of visual SLAM for mobile robots. Int J Front Eng Technol 3(7):1\u20137","journal-title":"Int J Front Eng Technol"},{"key":"766_CR4","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\u2013234","DOI":"10.1109\/ISMAR.2007.4538852"},{"issue":"6","key":"766_CR5","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 et al (2007) MonoSLAM: real-time single camera SLAM. IEEE Trans Pattern Anal Mach Intell (TPAMI) 29(6):1052\u20131067","journal-title":"IEEE Trans Pattern Anal Mach Intell (TPAMI)"},{"issue":"2","key":"766_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/app11020645","volume":"11","author":"X Kang","year":"2021","unstructured":"Kang X, Li J, Fan X et al (2021) Object-Level Semantic Map Construction for Dynamic Scenes. Appl Sci 11(2):1\u201320","journal-title":"Appl Sci"},{"key":"766_CR7","unstructured":"Wu M, Chen L (2015) Image recognition based on deep learning. In: 2015 Chinese Automation Congress, pp 542\u2013546"},{"issue":"4","key":"766_CR8","doi-asserted-by":"publisher","first-page":"4407","DOI":"10.1109\/LRA.2018.2869640","volume":"3","author":"N Radwan","year":"2018","unstructured":"Radwan N, Valada A, Burgard W (2018) Vlocnet++: Deep multitask learning for semantic visual localization and odometry. IEEE Robot Autom Lett 3(4):4407\u20134414","journal-title":"IEEE Robot Autom Lett"},{"key":"766_CR9","doi-asserted-by":"crossref","unstructured":"Prakhya SM, Bingbing L, Weisi L et al (2015) Sparse depth odometry: 3D keypoint based pose estimation from dense depth data. In: 2015 IEEE international conference on robotics and automation (ICRA), pp 4216\u20134223","DOI":"10.1109\/ICRA.2015.7139780"},{"key":"766_CR10","doi-asserted-by":"crossref","unstructured":"Zhan H, Garg R, Weerasekera C et al (2018) Unsupervised learning of monocular depth estimation and visual odometry with deep feature reconstruction. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 340\u2013349","DOI":"10.1109\/CVPR.2018.00043"},{"key":"766_CR11","doi-asserted-by":"crossref","unstructured":"Yang N, Stumberg LV, Wang R et al (2020) D3vo: Deep depth, deep pose and deep uncertainty for monocular visual odometry. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 1281\u20131292","DOI":"10.1109\/CVPR42600.2020.00136"},{"issue":"4","key":"766_CR12","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1109\/MRA.2011.943233","volume":"18","author":"D Scaramuzza","year":"2011","unstructured":"Scaramuzza D, Fraundorfer F (2011) Visual odometry. IEEE Robot Autom Magz 18(4):80\u201392","journal-title":"IEEE Robot Autom Magz"},{"issue":"1153","key":"766_CR13","first-page":"405","volume":"203","author":"S Ullman","year":"1979","unstructured":"Ullman S (1979) The interpretation of structure from motion. Proc R Soc Lond Ser B Biol Sci 203(1153):405\u2013426","journal-title":"Proc R Soc Lond Ser B Biol Sci"},{"issue":"1","key":"766_CR14","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1007\/s11263-007-0046-z","volume":"75","author":"L Matthies","year":"2007","unstructured":"Matthies L, Maimone M, Johnson A et al (2007) Computer vision on Mars. Int J Comput Vision 75(1):67\u201392","journal-title":"Int J Comput Vision"},{"issue":"50","key":"766_CR15","first-page":"10","volume":"15","author":"C Harris","year":"1988","unstructured":"Harris C, Stephens M (1988) A combined corner and edge detector. In Alvey Vis Conf 15(50):10\u20135244","journal-title":"In Alvey Vis Conf"},{"key":"766_CR16","doi-asserted-by":"crossref","unstructured":"Rosten E, Drummond T (2006) Machine learning for high-speed corner detection. In European conference on computer vision, pp 430\u2013443","DOI":"10.1007\/11744023_34"},{"issue":"2","key":"766_CR17","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","volume":"60","author":"DG Lowe","year":"2004","unstructured":"Lowe DG (2004) Distinctive image features from scale-invariant keypoints. Int J Comput Vision 60(2):91\u2013110","journal-title":"Int J Comput Vision"},{"key":"766_CR18","doi-asserted-by":"crossref","unstructured":"Bay H, Tuytelaars T, Van Gool L (2006) Surf: speeded up robust features. In European conference on computer vision, pp 404\u2013417","DOI":"10.1007\/11744023_32"},{"key":"766_CR19","doi-asserted-by":"crossref","unstructured":"Rublee E, Rabaud V, Konolige K et al (2011) ORB: an efficient alternative to SIFT or SURF. In: 2011 International conference on computer vision, pp 2564\u20132571","DOI":"10.1109\/ICCV.2011.6126544"},{"key":"766_CR20","doi-asserted-by":"crossref","unstructured":"Engel J, Sch\u00f6ps T, Cremers D (2014) LSD-SLAM: large-scale direct monocular SLAM. In: European conference on computer vision, pp 834\u2013849","DOI":"10.1007\/978-3-319-10605-2_54"},{"issue":"3","key":"766_CR21","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1109\/TPAMI.2017.2658577","volume":"40","author":"J Engel","year":"2017","unstructured":"Engel J, Koltun V, Cremers D (2017) Direct sparse odometry. IEEE Trans Pattern Anal Mach Intell 40(3):611\u2013625","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"766_CR22","doi-asserted-by":"crossref","unstructured":"Agrawal P, Carreira J, Malik J (2015) Learning to see by moving. In: Proceedings of the IEEE international conference on computer vision, pp 37\u201345","DOI":"10.1109\/ICCV.2015.13"},{"key":"766_CR23","doi-asserted-by":"crossref","unstructured":"Wang S, Clark R, Wen H et al (2017) Deepvo: Towards end-to-end visual odometry with deep recurrent convolutional neural networks. In: 2017 IEEE International Conference on Robotics and Automation (ICRA), pp 2043\u20132050","DOI":"10.1109\/ICRA.2017.7989236"},{"key":"766_CR24","doi-asserted-by":"crossref","unstructured":"Ummenhofer B, Zhou H, Uhrig J et al (2017) Demon: Depth and motion network for learning monocular stereo. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 5038\u20135047","DOI":"10.1109\/CVPR.2017.596"},{"key":"766_CR25","doi-asserted-by":"crossref","unstructured":"Zhou H, Ummenhofer B, Brox T (2018) Deeptam: Deep tracking and mapping. In Proceedings of the European conference on computer vision (ECCV), pp 822\u2013838","DOI":"10.1007\/978-3-030-01270-0_50"},{"key":"766_CR26","doi-asserted-by":"crossref","unstructured":"Zhou T, Brown M, Snavely N et al (2017) Unsupervised learning of depth and ego-motion from video. in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp 1851\u20131858","DOI":"10.1109\/CVPR.2017.700"},{"key":"766_CR27","doi-asserted-by":"crossref","unstructured":"Godard C, Mac Aodha O, Firman M et al (2019) Digging into self-supervised monocular depth estimation. In Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp 3828\u20133838","DOI":"10.1109\/ICCV.2019.00393"},{"issue":"3","key":"766_CR28","doi-asserted-by":"publisher","first-page":"354","DOI":"10.1007\/s10015-021-00685-z","volume":"26","author":"S Zhou","year":"2021","unstructured":"Zhou S, Zhu M, Li Z et al (2021) Self-supervised monocular depth estimation with occlusion mask and edge awareness. Artif Life Robot 26(3):354\u2013359","journal-title":"Artif Life Robot"}],"container-title":["Artificial Life and Robotics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10015-022-00766-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10015-022-00766-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10015-022-00766-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,30]],"date-time":"2022-07-30T19:09:56Z","timestamp":1659208196000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10015-022-00766-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,10]]},"references-count":28,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2022,8]]}},"alternative-id":["766"],"URL":"https:\/\/doi.org\/10.1007\/s10015-022-00766-7","relation":{},"ISSN":["1433-5298","1614-7456"],"issn-type":[{"value":"1433-5298","type":"print"},{"value":"1614-7456","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6,10]]},"assertion":[{"value":"22 March 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 May 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 June 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}