{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,11,19]],"date-time":"2024-11-19T17:23:51Z","timestamp":1732037031609,"version":"3.28.0"},"reference-count":31,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,9]]},"DOI":"10.1109\/ecmr.2017.8098657","type":"proceedings-article","created":{"date-parts":[[2017,11,9]],"date-time":"2017-11-09T16:50:13Z","timestamp":1510246213000},"page":"1-7","source":"Crossref","is-referenced-by-count":25,"title":["Deconvolutional networks for point-cloud vehicle detection and tracking in driving scenarios"],"prefix":"10.1109","author":[{"given":"Victor","family":"Vaquero","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ivan","family":"del Pino","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francese","family":"Moreno-Noguer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joan","family":"Sola","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alberto","family":"Sanfeliu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Juan","family":"Andrade-Cetto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1155\/2008\/246309"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"2953","DOI":"10.1109\/CVPR.2009.5206735","article-title":"Learning to associate: Hybrid-boosted multi-target tracker for crowded scene","author":"li","year":"2009","journal-title":"Computer Vision and Pattern Recognition 2009 CVPR 2009 IEEE Conference on"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2011.5979818"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1002\/rob.21430"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s12369-009-0041-3"},{"key":"ref13","first-page":"1625","article-title":"A layered approach to people detection in 3D range data","author":"spinello","year":"2010","journal-title":"Proc AAAI Conf Artif Intell (AAAI)"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-009-9115-1"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2011.5979636"},{"key":"ref16","first-page":"4038","article-title":"What could move? finding cars, pedestrians and bicyclists in 3D laser data","author":"wang","year":"2012","journal-title":"IEEE Int Conf Robotics Autom (ICRA)"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2010.VI.009"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.264"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2015.XI.035"},{"journal-title":"Training constrained deconvolutional networks for road scene semantic segmentation","year":"2016","author":"ros","key":"ref28"},{"journal-title":"Joint coarse-and-fine reasoning for deep optical flow","year":"0","author":"vaquero","key":"ref4"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.691"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2007.363998"},{"key":"ref7","article-title":"Overfeat: Integrated recognition, localization and detection using convolutional networks","author":"sermanet","year":"2014","journal-title":"Proc of the Int Conf on Learning Representations (ICLR)"},{"key":"ref2","first-page":"91","article-title":"Faster R-CNN: Towards realtime object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Neural Inf Process Syst (NIPS)"},{"key":"ref9","first-page":"491","article-title":"Low cost, robust and real time system for detecting and tracking moving objects to automate cargo handling in port terminals","volume":"418","author":"vaquero","year":"2015","journal-title":"2nd Iberian Robotics Conf ser Adv Intell Syst Comput"},{"key":"ref1","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Neural Inf Process Syst (NIPS)"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2012.6225003"},{"journal-title":"3D fully convolutional network for vehicle detection in point cloud","year":"2016","author":"li","key":"ref22"},{"key":"ref21","article-title":"Unsupervised feature learning for classification of outdoor 3D scans","author":"de deuge","year":"2013","journal-title":"Proc Australasian Conf Robotics and Automation (ACRA)"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.482"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989161"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2016.XII.042"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.5244\/C.29.150"}],"event":{"name":"2017 European Conference on Mobile Robots (ECMR)","start":{"date-parts":[[2017,9,6]]},"location":"Paris","end":{"date-parts":[[2017,9,8]]}},"container-title":["2017 European Conference on Mobile Robots (ECMR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8090483\/8098653\/08098657.pdf?arnumber=8098657","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,5]],"date-time":"2019-10-05T19:12:25Z","timestamp":1570302745000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8098657\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,9]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/ecmr.2017.8098657","relation":{},"subject":[],"published":{"date-parts":[[2017,9]]}}}