{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T08:57:49Z","timestamp":1758272269417},"reference-count":38,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,7]]},"DOI":"10.1109\/ijcnn48605.2020.9207265","type":"proceedings-article","created":{"date-parts":[[2020,9,30]],"date-time":"2020-09-30T00:40:33Z","timestamp":1601426433000},"source":"Crossref","is-referenced-by-count":17,"title":["Indoor Navigation for Mobile Agents: A Multimodal Vision Fusion Model"],"prefix":"10.1109","author":[{"given":"Dongfang","family":"Liu","sequence":"first","affiliation":[]},{"given":"Yiming","family":"Cui","sequence":"additional","affiliation":[]},{"given":"Zhiwen","family":"Cao","sequence":"additional","affiliation":[]},{"given":"Yingjie","family":"Chen","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref38","first-page":"1928","article-title":"Asynchronous methods for deep reinforcement learning","author":"mnih","year":"2016","journal-title":"International Conference on Machine Learning"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.544"},{"key":"ref32","article-title":"Semantic image segmentation with deep convolutional nets and fully connected crfs","author":"chen","year":"2014","journal-title":"arXiv preprint arXiv 1412 7062"},{"key":"ref31","article-title":"Digging into self-supervised monocular depth estimation","author":"godard","year":"2018","journal-title":"arXiv preprint arXiv 1806 01260"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref37","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv preprint arXiv 1412 6980"},{"key":"ref36","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","author":"finn","year":"0"},{"key":"ref35","article-title":"Microsoft coco: Common objects in context","author":"lin","year":"2014","journal-title":"ECCV"},{"key":"ref34","article-title":"Indoor segmentation and support inference from rgbd images","author":"nathan silberman","year":"2012","journal-title":"ECCV"},{"key":"ref10","doi-asserted-by":"crossref","DOI":"10.5220\/0007575908330839","article-title":"End-to-end learning approach for autonomous driving: A convolutional neural network model","author":"wang","year":"2019","journal-title":"Proceedings of the 11th International Conference on Agents and Artificial Intelligence ICAART"},{"key":"ref11","article-title":"Ai2-thor: An interactive 3d environment for visual ai","author":"kolve","year":"2017","journal-title":"arXiv preprint arXiv 1712 05474"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/S0921-8890(02)00237-3"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.769"},{"key":"ref14","article-title":"Learning to navigate in complex environments","author":"mirowski","year":"2016","journal-title":"arXiv preprint arXiv 1611 03673"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989381"},{"key":"ref16","article-title":"Semi-parametric topological memory for navigation","author":"savinov","year":"2018","journal-title":"arXiv preprint arXiv 1803 00653"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460655"},{"key":"ref18","article-title":"Visual representations for semantic target driven navigation","author":"toshev","year":"2019","journal-title":"ICRA"},{"key":"ref19","article-title":"Learning and planning with a semantic model","author":"wu","year":"2018","journal-title":"arXiv preprint arXiv 1809 10842"},{"key":"ref28","article-title":"Digging into self-supervised monocular depth prediction","author":"godard","year":"2019","journal-title":"ICCV"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8593720"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.699"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511546877"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IRC.2019.00030"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00691"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-3184-5_8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2017.00081"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2019.8814117"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2016.2624754"},{"key":"ref1","article-title":"On evaluation of embodied navigation agents","author":"anderson","year":"2018","journal-title":"arXiv preprint arXiv 1807 06757"},{"key":"ref20","article-title":"Visual semantic navigation using scene priors","author":"yang","year":"2018","journal-title":"arXiv preprint arXiv 1810 06008"},{"key":"ref22","first-page":"5302","article-title":"Metareinforcement learning of structured exploration strategies","author":"gupta","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref21","article-title":"Imitating shortest paths for visual navigation with trajectory-aware deep reinforcement learning","author":"chen","year":"2017"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref23","article-title":"Learning to explore with metapolicy gradient","author":"xu","year":"2018","journal-title":"arXiv preprint arXiv 1803 05044"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref25","first-page":"379","article-title":"R-fcn: Object detection via region-based fully convolutional networks","author":"dai","year":"2016","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2020 International Joint Conference on Neural Networks (IJCNN)","location":"Glasgow, United Kingdom","start":{"date-parts":[[2020,7,19]]},"end":{"date-parts":[[2020,7,24]]}},"container-title":["2020 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9200848\/9206590\/09207265.pdf?arnumber=9207265","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:52:25Z","timestamp":1656453145000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9207265\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/ijcnn48605.2020.9207265","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}