{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,6]],"date-time":"2026-08-06T04:40:34Z","timestamp":1785991234167,"version":"3.56.0"},"reference-count":41,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,24]],"date-time":"2020-10-24T00:00:00Z","timestamp":1603497600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,24]],"date-time":"2020-10-24T00:00:00Z","timestamp":1603497600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,24]],"date-time":"2020-10-24T00:00:00Z","timestamp":1603497600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100007210","name":"RWTH Aachen University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100007210","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,10,24]]},"DOI":"10.1109\/iros45743.2020.9341689","type":"proceedings-article","created":{"date-parts":[[2021,2,13]],"date-time":"2021-02-13T02:26:48Z","timestamp":1613183208000},"page":"10270-10277","source":"Crossref","is-referenced-by-count":41,"title":["DR-SPAAM: A Spatial-Attention and Auto-regressive Model for Person Detection in 2D Range Data"],"prefix":"10.1109","author":[{"given":"Dan","family":"Jia","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander","family":"Hermans","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bastian","family":"Leibe","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00931"},{"key":"ref38","article-title":"Fully Motion-Aware Network for Video Object Detection","author":"wang","year":"2018","journal-title":"European Conference on Computer Vision"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.95"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00905"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00937"},{"key":"ref30","article-title":"From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network","author":"shi","year":"2019"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.52"},{"key":"ref36","article-title":"Towards High Performance Video Object Detection","author":"zhu","year":"2017","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.330"},{"key":"ref34","article-title":"Seq-NMS for Video Object Detection","author":"han","year":"2016"},{"key":"ref10","article-title":"ROS leg_detector package","author":"pantofaru","year":"2010"},{"key":"ref40","article-title":"Attention is All You Need","author":"vaswani","year":"2017","journal-title":"Neural Information Processing Systems"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7139259"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2016.2645131"},{"key":"ref13","article-title":"End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks","author":"ondruska","year":"2016","journal-title":"Robotics Science and Systems Conference Workshop on Limits and Potentials of Deep Learning in Robotics"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1177\/0278364917710543"},{"key":"ref15","article-title":"Multi-view 3D Object Detection Network for Autonomous Driving","author":"chen","year":"2016","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00102"},{"key":"ref17","article-title":"Joint 3D Proposal Generation and Object Detection from View Aggregation","author":"ku","year":"2017","journal-title":"International Conference on Intelligent Robots and Systems"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01298"},{"key":"ref19","article-title":"VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection","author":"zhou","year":"2017","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00987"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2835510"},{"key":"ref27","doi-asserted-by":"crossref","DOI":"10.1145\/3326362","article-title":"Dynamic Graph CNN for Learning on Point Clouds","volume":"38","author":"wang","year":"2019","journal-title":"ACM Transactions on Graphics"},{"key":"ref3","article-title":"YOLOv3: An Incremental Improvement","author":"redmon","year":"2018"},{"key":"ref6","doi-asserted-by":"crossref","DOI":"10.5244\/C.30.44","article-title":"Context matters: Refining object detection in video with recurrent neural networks","author":"tripathi","year":"2016"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00204"},{"key":"ref5","article-title":"Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection","author":"zhu","year":"2019"},{"key":"ref8","article-title":"Video Object Detection with an Aligned Spatial-Temporal Memory","author":"xiao","year":"2017","journal-title":"European Conference on Computer Vision"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.257"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref9","article-title":"Using Boosted Features for the detection of People in 2D Range Data","author":"arras","year":"2007","journal-title":"IEEE International Conference on Robotics and Automation"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref20","article-title":"SECOND: Sparsely Embedded Convolutional Detection","author":"yan yan","year":"2018","journal-title":"SENSORS"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00319"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00961"},{"key":"ref24","article-title":"PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation","author":"qi","year":"2017","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref41","article-title":"Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures","author":"bergstra","year":"2013","journal-title":"International Conference on Machine Learning"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00086"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197503"},{"key":"ref25","article-title":"PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space","author":"qi","year":"2017","journal-title":"Neural Information Processing Systems"}],"event":{"name":"2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","location":"Las Vegas, NV, USA","start":{"date-parts":[[2020,10,24]]},"end":{"date-parts":[[2021,1,24]]}},"container-title":["2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9340668\/9340635\/09341689.pdf?arnumber=9341689","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:57:19Z","timestamp":1656453439000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9341689\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,24]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/iros45743.2020.9341689","relation":{},"subject":[],"published":{"date-parts":[[2020,10,24]]}}}