乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T14:32:21Z","timestamp":1730212341628,"version":"3.28.0"},"reference-count":53,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"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":[[2020,6]]},"DOI":"10.1109\/cvpr42600.2020.01157","type":"proceedings-article","created":{"date-parts":[[2020,8,5]],"date-time":"2020-08-05T21:20:05Z","timestamp":1596662405000},"page":"11550-11559","source":"Crossref","is-referenced-by-count":96,"title":["PnPNet: End-to-End Perception and Prediction With Tracking in the Loop"],"prefix":"10.1109","author":[{"given":"Ming","family":"Liang","sequence":"first","affiliation":[]},{"given":"Bin","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Wenyuan","family":"Zeng","sequence":"additional","affiliation":[]},{"given":"Yun","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Rui","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Sergio","family":"Casas","sequence":"additional","affiliation":[]},{"given":"Raquel","family":"Urtasun","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00208"},{"key":"ref38","article-title":"Pointr- cnn: 3d object proposal generation and detection from point cloud","author":"shi","year":"2019","journal-title":"CVPR"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2505309"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01296"},{"key":"ref31","article-title":"Sensor fusion for joint 3d object detection and semantic segmentation","author":"meyer","year":"0","journal-title":"CVPR Workshops"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2007.4409178"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8461018"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.292"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00291"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00102"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00376"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_39"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.493"},{"journal-title":"Chauffeurnet Learning to drive by imitating the best and synthesizing the worst","year":"2018","author":"bansal","key":"ref2"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.110"},{"key":"ref20","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"ICLRE"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01298"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1002\/nav.3800020109"},{"key":"ref24","article-title":"Fol- lowme: Efficient online min-cost flow tracking with bounded memory and computation","author":"lenz","year":"2015","journal-title":"ICCV"},{"key":"ref23","article-title":"Desire: Distant future prediction in dynamic scenes with interacting agents","author":"namhoon","year":"2017","journal-title":"CVPR"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00752"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00587"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00886"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00245"},{"journal-title":"Class-balanced grouping and sampling for point cloud 3d object detection","year":"2019","author":"zhu","key":"ref53"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00472"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.236"},{"key":"ref11","article-title":"3d object proposals for accurate object class detection","author":"xiaozhi","year":"2015","journal-title":"NeurIPS"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299138"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.691"},{"journal-title":"Probabilistic 3d multi-object tracking for autonomous driving","year":"2020","author":"chiu","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00627"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793868"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093332"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8462884"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00240"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2932301"},{"key":"ref4","article-title":"Fully-convolutional siamese networks for object tracking","author":"luca","year":"2016","journal-title":"ECCV"},{"key":"ref3","article-title":"Multiple object tracking performance metrics and evaluation in a smart room environment","author":"bernardin","year":"0","journal-title":"Sixth IEEE International Workshop on Visual Surveillance in conjunction with ECCV"},{"journal-title":"nuscenes A multimodal dataset for autonomous driving","year":"2019","author":"holger","key":"ref6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.232"},{"key":"ref8","article-title":"Intentnet: Learning to predict intention from raw sensor data","author":"casas","year":"2018","journal-title":"CoRL"},{"key":"ref7","article-title":"Spatially-aware graph neural networks for relational behavior forecasting from sensor data","author":"casas","year":"2020","journal-title":"ICRA"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00204"},{"key":"ref9","article-title":"Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction","author":"chai","year":"2019","journal-title":"CoRL"},{"key":"ref46","doi-asserted-by":"crossref","first-page":"3337","DOI":"10.3390\/s18103337","article-title":"Second: Sparsely embedded convolutional detection","volume":"18","author":"yan","year":"2018","journal-title":"SENSORS"},{"key":"ref45","article-title":"To track or to detect? an ensemble framework for optimal selection","author":"xu","year":"2012","journal-title":"ECCV"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00798"},{"key":"ref47","article-title":"Hdnet: Exploiting hd maps for 3d object detection","author":"yang","year":"2018","journal-title":"CoRL"},{"journal-title":"A baseline for 3d multi-object tracking","year":"2019","author":"weng","key":"ref42"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00864"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00033"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.534"}],"event":{"name":"2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","start":{"date-parts":[[2020,6,13]]},"location":"Seattle, WA, USA","end":{"date-parts":[[2020,6,19]]}},"container-title":["2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9142308\/9156271\/09157054.pdf?arnumber=9157054","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T16:04:36Z","timestamp":1656345876000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9157054\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6]]},"references-count":53,"URL":"https:\/\/doi.org\/10.1109\/cvpr42600.2020.01157","relation":{},"subject":[],"published":{"date-parts":[[2020,6]]}}}