{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T19:27:55Z","timestamp":1754162875798,"version":"3.41.2"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"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":[[2019,12]]},"DOI":"10.1109\/robio49542.2019.8961412","type":"proceedings-article","created":{"date-parts":[[2020,1,21]],"date-time":"2020-01-21T14:49:51Z","timestamp":1579618191000},"page":"278-283","source":"Crossref","is-referenced-by-count":0,"title":["Semi-supervised Depth Estimation from Sparse Depth and a Single Image for Dense Map Construction"],"prefix":"10.1109","author":[{"given":"Xinghong","family":"Huang","sequence":"first","affiliation":[{"name":"Guangdong University of Technology,Biomimetic and Intelligent Robotics Lab (BIRL),Guangzhou,Guangdong Province,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhuang","family":"Dai","sequence":"additional","affiliation":[{"name":"Guangdong University of Technology,Biomimetic and Intelligent Robotics Lab (BIRL),Guangzhou,Guangdong Province,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xubin","family":"Lin","sequence":"additional","affiliation":[{"name":"Guangdong University of Technology,Biomimetic and Intelligent Robotics Lab (BIRL),Guangzhou,Guangdong Province,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenjie","family":"Suo","sequence":"additional","affiliation":[{"name":"Guangdong University of Technology,Biomimetic and Intelligent Robotics Lab (BIRL),Guangzhou,Guangdong Province,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"He","sequence":"additional","affiliation":[{"name":"Guangdong University of Technology,Biomimetic and Intelligent Robotics Lab (BIRL),Guangzhou,Guangdong Province,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yisheng","family":"Guan","sequence":"additional","affiliation":[{"name":"Guangdong University of Technology,Biomimetic and Intelligent Robotics Lab (BIRL),Guangzhou,Guangdong Province,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Guangdong University of Technology,Biomimetic and Intelligent Robotics Lab (BIRL),Guangzhou,Guangdong Province,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"article-title":"Adam: A method for stochastic optimization","year":"2014","author":"kingma","key":"ref32"},{"journal-title":"On Automatic Differentiation","year":"2017","author":"paszke","key":"ref31"},{"article-title":"Spatial Transformer Networks","year":"2015","author":"jaderberg","key":"ref30"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.238"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2016.XII.041"},{"article-title":"Parse Geometry from a Line: Monocular Depth Estimation with Partial Laser Observation","year":"2016","author":"liao","key":"ref12"},{"key":"ref13","first-page":"1","article-title":"[IEEE 2018 IEEE International Conference on Robotics and Automation (ICRA) - Brisbane, Australia (2018.5.21-2018.5.25)]","author":"ma","year":"2018","journal-title":"2018 IEEE International Conference on Robotics and Automation (ICRA) - Sparse-to-Dense Depth Prediction from Sparse Depth Samples and a Single Image"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-007-0071-y"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33715-4_56"},{"article-title":"Unsupervised Monocular Depth Estimation with Left-Right Consistency","year":"2016","author":"godard","key":"ref16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2018.00073"},{"article-title":"Propagating Confidences through CNNs for Sparse Data Regression","year":"2018","author":"eldesokey","key":"ref18"},{"article-title":"Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera","year":"2018","author":"ma","key":"ref19"},{"year":"0","key":"ref28"},{"key":"ref4","first-page":"1","article-title":"ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras","author":"mur-artal","year":"2017","journal-title":"IEEE Transactions on Robotics"},{"key":"ref27","article-title":"Generative adversarial networks for unsupervised monocular depth prediction","author":"aleotti","year":"2018","journal-title":"15th European Conference on Computer Vision (ECCV) Workshops"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487258"},{"key":"ref6","article-title":"Depth Map Prediction from a Single Image using a Multi-Scale Deep Network","author":"eigen","year":"2014","journal-title":"International Conference on Neural Information Processing Systems"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1109\/3DV.2017.00012","article-title":"[IEEE 2017 International Conference on 3D Vision (3DV) - Qingdao (2017.10.10-2017.10.12)]","author":"uhrig","year":"2017","journal-title":"2017 International Conference on 3D Vision (3DV) - Sparsity Invariant CNNs"},{"key":"ref5","first-page":"1","article-title":"Direct Sparse Odometry","author":"engel","year":"2017","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.32"},{"article-title":"Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture","year":"2014","author":"eigen","key":"ref7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-28572-1_33"},{"key":"ref9","article-title":"Unsupervised Learning of Monocular Depth Estimation with Bundle Adjustment","author":"zhou","year":"2018","journal-title":"Super-Resolution and Clip Loss"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2014.X.007"},{"article-title":"Deep Residual Learning for Image Recognition","year":"2015","author":"he","key":"ref20"},{"key":"ref22","first-page":"640","article-title":"Fully Convolutional Networks for Semantic Segmentation","volume":"39","author":"long","year":"2014","journal-title":"IEEE Transactions on Pattern Analysis & Machine Intelligence"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00043"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.700"},{"key":"ref23","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-46484-8_45","article-title":"Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue","author":"garg","year":"2016"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913491297"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-008-0152-6"}],"event":{"name":"2019 IEEE International Conference on Robotics and Biomimetics (ROBIO)","start":{"date-parts":[[2019,12,6]]},"location":"Dali, China","end":{"date-parts":[[2019,12,8]]}},"container-title":["2019 IEEE International Conference on Robotics and Biomimetics (ROBIO)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8953068\/8961374\/08961412.pdf?arnumber=8961412","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T18:44:14Z","timestamp":1753901054000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8961412\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/robio49542.2019.8961412","relation":{},"subject":[],"published":{"date-parts":[[2019,12]]}}}