{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T17:48:53Z","timestamp":1777657733157,"version":"3.51.4"},"reference-count":69,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"JST"},{"DOI":"10.13039\/501100020964","name":"Fusion Oriented REsearch for disruptive Science and Technology","doi-asserted-by":"publisher","award":["JPMJFR206S"],"award-info":[{"award-number":["JPMJFR206S"]}],"id":[{"id":"10.13039\/501100020964","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Veh."],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1109\/tiv.2024.3403134","type":"journal-article","created":{"date-parts":[[2024,5,20]],"date-time":"2024-05-20T13:33:18Z","timestamp":1716211998000},"page":"7852-7864","source":"Crossref","is-referenced-by-count":14,"title":["A Comprehensive Framework for 3D Occupancy Estimation in Autonomous Driving"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6720-6500","authenticated-orcid":false,"given":"Wanshui","family":"Gan","sequence":"first","affiliation":[{"name":"The University of Tokyo, Tokyo, Japan"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-2866-2001","authenticated-orcid":false,"given":"Ningkai","family":"Mo","sequence":"additional","affiliation":[{"name":"Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3455-1527","authenticated-orcid":false,"given":"Hongbin","family":"Xu","sequence":"additional","affiliation":[{"name":"South China University of Technology, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7321-4590","authenticated-orcid":false,"given":"Naoto","family":"Yokoya","sequence":"additional","affiliation":[{"name":"The University of Tokyo, Tokyo, Japan"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2022.3223131"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19812-0_31"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9812383"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2024.3449912"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2892405"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3160741"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-023-01915-6"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-022-01641-5"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3070917"},{"key":"ref10","article-title":"Occupancy network,","author":"Elluswamy","year":"2023"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3503250"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00256"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01164"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01986"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20077-9_1"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00567"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2023.02.011"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00393"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2023.3312127"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.00389"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00987"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3150884"},{"key":"ref23","first-page":"539","article-title":"SurroundDepth: Entangling surrounding views for self-supervised multi-camera depth estimation","volume-title":"Proc. Conf. Robot Learn.","author":"Wei","year":"2023"},{"key":"ref24","first-page":"22158","article-title":"Hierarchical neural architecture search for deep stereo matching","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Cheng","year":"2020"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2947374"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01264"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58568-6_12"},{"key":"ref28","first-page":"180","article-title":"DETR3D: 3D object detection from multi-view images via 3D-to-2D queries","volume-title":"Proc. Conf. Robot Learn.","author":"Wang","year":"2022"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00133"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160831"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3253554"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1002\/int.22857"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00815"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00861"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00876"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01601"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00341"},{"key":"ref38","article-title":"StreetSurf: Extending multi-view implicit surface reconstruction to street views","author":"Guo","year":"2023"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01504-5"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00459"},{"key":"ref41","article-title":"LOPR: Latent occupancy prediction using generative models","author":"Lange","year":"2022"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00890"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2023.3250326"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2023.3343749"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298925"},{"key":"ref46","article-title":"Voxelnet","author":"Rice","year":"2023"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00396"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00877"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00322"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01636"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00772"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW60793.2023.00231"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01638"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01689"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2024.3495045"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9812291"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref58","article-title":"Automatic differentiation in pytorch","author":"Paszke","year":"2017"},{"key":"ref59","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"25","author":"Krizhevsky","year":"2012"},{"key":"ref60","first-page":"27171","article-title":"NeuS: Learning neural implicit surfaces by volume rendering for multi-view reconstruction","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Wang","year":"2021"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00554"},{"key":"ref62","first-page":"25018","article-title":"MonoSDF: Exploring monocular geometric cues for neural implicit surface reconstruction","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Yu","year":"2022"},{"key":"ref63","first-page":"4805","article-title":"Volume rendering of neural implicit surfaces","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Yariv","year":"2021"},{"key":"ref64","article-title":"Open3D: A modern library for 3D data processing","author":"Zhou","year":"2018"},{"key":"ref65","first-page":"2366","article-title":"Depth map prediction from a single image using a multi-scale deep network","volume-title":"Proc. 27th Int. Conf. Neural Inf. Process. Syst.","author":"Eigen","year":"2014"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00302"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00939"},{"key":"ref69","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014"}],"container-title":["IEEE Transactions on Intelligent Vehicles"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7274857\/11077821\/10535213.pdf?arnumber=10535213","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,11]],"date-time":"2025-07-11T17:45:48Z","timestamp":1752255948000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10535213\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":69,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tiv.2024.3403134","relation":{},"ISSN":["2379-8904","2379-8858"],"issn-type":[{"value":"2379-8904","type":"electronic"},{"value":"2379-8858","type":"print"}],"subject":[],"published":{"date-parts":[[2024,12]]}}}