{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T04:12:18Z","timestamp":1743048738683,"version":"3.40.3"},"reference-count":33,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,12,17]],"date-time":"2024-12-17T00:00:00Z","timestamp":1734393600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,17]],"date-time":"2024-12-17T00:00:00Z","timestamp":1734393600000},"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":[[2024,12,17]]},"DOI":"10.1109\/icves61986.2024.10927768","type":"proceedings-article","created":{"date-parts":[[2025,3,24]],"date-time":"2025-03-24T17:54:58Z","timestamp":1742838898000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Enhance Image BEV Features with LiDAR Gradient Guidance for 3D Object Detection"],"prefix":"10.1109","author":[{"given":"Tengfei","family":"Zhang","sequence":"first","affiliation":[{"name":"Electronic Information Industry Co., Ltd,Beijing,P.R. China,100095"}]},{"given":"Heng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Electronic Information Industry Co., Ltd,Beijing,P.R. China,100095"}]},{"given":"Ruyang","family":"Li","sequence":"additional","affiliation":[{"name":"Electronic Information Industry Co., Ltd,Beijing,P.R. China,100095"}]},{"given":"Qi","family":"Deng","sequence":"additional","affiliation":[{"name":"Electronic Information Industry Co., Ltd,Beijing,P.R. China,100095"}]},{"given":"Yaqian","family":"Zhao","sequence":"additional","affiliation":[{"name":"Electronic Information Industry Co., Ltd,Beijing,P.R. China,100095"}]},{"given":"Rengang","family":"Li","sequence":"additional","affiliation":[{"name":"Electronic Information Industry Co., Ltd,Beijing,P.R. China,100095"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00116"},{"key":"ref2","article-title":"Bevfusion: A simple and robust lidar-camera fusion framework","author":"Tingting","year":"2022","journal-title":"Neural Information Processing Systems (NeurIPS)"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160968"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00801"},{"journal-title":"Objects as points","year":"2019","author":"Zhou","key":"ref5"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00938"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00107"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00313"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1807.06521"},{"key":"ref10","article-title":"Orthographic feature trans-form for monocular 3d object detection","volume-title":"British Machine Vision Conference","author":"Roddick","year":"2019"},{"issue":"2","key":"ref11","first-page":"1477","article-title":"BEVDepth: Acquisition of reliable depth for multi-view 3d object detection","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","volume":"37","author":"Li","year":"2023"},{"journal-title":"BEVDet: High-performance multi-camera 3d object detection in bird-eye-view","year":"2021","author":"Huang","key":"ref12"},{"journal-title":"M2BEV: Multi-camera joint 3d detection and segmentation with unified birds-eye view representation","year":"2022","author":"Xie","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20077-9_1"},{"key":"ref15","first-page":"180","article-title":"DETR3D: 3d object detection from multi-view images via 3d-to-2d queries","volume-title":"Conference on Robot Learning. PMLR","author":"Wang","year":"2022"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1163\/2405-8262_rgg4_sim_024472"},{"journal-title":"Pointner: Deep learning on point sets for 3d classification and segmentation","year":"2016","author":"Qi","key":"ref17"},{"journal-title":"Frustum pointnets for 3d object detection from rgb-d data","year":"2017","author":"Qi","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01105"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00472"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/s18103337"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01298"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00291"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01161"},{"article-title":"Multi-view 3d object de-tection network for autonomous driving","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Chen","key":"ref25"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00466"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01162"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC48978.2021.9564951"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"journal-title":"Futr3d: A unified sensor fusion framework for 3d detection","year":"2022","author":"Chen","key":"ref30"},{"journal-title":"Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection","year":"2019","author":"Zhu","key":"ref31"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58583-9_43"},{"key":"ref33","first-page":"16494","article-title":"Multimodal virtual point 3d detection","volume-title":"Advances in Neural Information Processing Systems","volume":"34","author":"Yin","year":"2021"}],"event":{"name":"2024 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","start":{"date-parts":[[2024,12,17]]},"location":"Ahmedabad, India","end":{"date-parts":[[2024,12,19]]}},"container-title":["2024 IEEE International Conference on Vehicular Electronics and Safety (ICVES)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10927735\/10927745\/10927768.pdf?arnumber=10927768","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T11:39:57Z","timestamp":1742989197000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10927768\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,17]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/icves61986.2024.10927768","relation":{},"subject":[],"published":{"date-parts":[[2024,12,17]]}}}