{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T18:40:27Z","timestamp":1773772827710,"version":"3.50.1"},"reference-count":33,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001659","name":"German Research Foundation","doi-asserted-by":"publisher","award":["468878300"],"award-info":[{"award-number":["468878300"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003593","name":"CNPq","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003593","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,10,1]]},"DOI":"10.1109\/iros55552.2023.10341826","type":"proceedings-article","created":{"date-parts":[[2023,12,13]],"date-time":"2023-12-13T19:17:55Z","timestamp":1702495075000},"page":"5699-5706","source":"Crossref","is-referenced-by-count":8,"title":["EvCenterNet: Uncertainty Estimation for Object Detection Using Evidential Learning"],"prefix":"10.1109","author":[{"given":"Monish R.","family":"Nallapareddy","sequence":"first","affiliation":[{"name":"Fraunhofer IKS,Germany"}]},{"given":"Kshitij","family":"Sirohi","sequence":"additional","affiliation":[{"name":"University of Freiburg,Department of Computer Science,Germany"}]},{"given":"Paulo L. J.","family":"Drews","sequence":"additional","affiliation":[{"name":"University of Freiburg,Department of Computer Science,Germany"}]},{"given":"Wolfram","family":"Burgard","sequence":"additional","affiliation":[{"name":"University of Tech. Nuremberg,Department of Engineering,Germany"}]},{"given":"Chih-Hong","family":"Cheng","sequence":"additional","affiliation":[{"name":"Fraunhofer IKS,Germany"}]},{"given":"Abhinav","family":"Valada","sequence":"additional","affiliation":[{"name":"University of Freiburg,Department of Computer Science,Germany"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3096854"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/lra.2021.3130976"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3256926"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160355"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9812266"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01310"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01164"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00271"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-023-10562-9"},{"key":"ref11","first-page":"9690","article-title":"Uncertainty estimation using a single deep deterministic neural network","volume-title":"ICML","author":"Van Amersfoort","year":"2020"},{"key":"ref12","article-title":"Evidential deep learning to quantify classification uncertainty","volume-title":"NeurIPS","volume":"31","author":"Sensoy","year":"2018"},{"key":"ref13","first-page":"14927","article-title":"Deep evidential regression","volume-title":"NeurIPS","volume":"33","author":"Amini","year":"2020"},{"key":"ref14","first-page":"1050","article-title":"Dropout as a Bayesian approximation: Representing model uncertainty in deep learning","volume-title":"ICML","author":"Gal","year":"2016"},{"key":"ref15","article-title":"Concrete dropout","volume-title":"NeurIPS","volume":"30","author":"Gal","year":"2017"},{"key":"ref16","article-title":"Simple and scalable predictive uncertainty estimation using deep ensembles","volume-title":"NeurIPS","volume":"30","author":"Lakshminarayanan","year":"2017"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_34"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460700"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"ref20","first-page":"6","article-title":"Benchmarking sampling-based probabilistic object detectors","volume-title":"IEEE\/CVF CVPRW","volume":"3","author":"Miller","year":"2019"},{"key":"ref21","article-title":"Faster r-cnn: Towards real-time object detection with region proposal networks","volume-title":"NeurIPS","volume":"28","author":"Ren","year":"2015"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8917494"},{"key":"ref23","article-title":"Yolov3: An incremental improvement","author":"Redmon","year":"2018","journal-title":"arXiv"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9196544"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref26","article-title":"Objects as points","author":"Zhou","year":"2019","journal-title":"arXiv"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00255"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.04.065"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00949"},{"key":"ref31","article-title":"Decoupled weight decay regularization","volume-title":"ICLR","author":"Loshchilov","year":"2017"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref33","first-page":"1321","article-title":"On calibration of modern neural networks","volume-title":"ICML","author":"Guo","year":"2017"}],"event":{"name":"2023 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","location":"Detroit, MI, USA","start":{"date-parts":[[2023,10,1]]},"end":{"date-parts":[[2023,10,5]]}},"container-title":["2023 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10341341\/10341342\/10341826.pdf?arnumber=10341826","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,20]],"date-time":"2023-12-20T00:25:26Z","timestamp":1703031926000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10341826\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,1]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/iros55552.2023.10341826","relation":{},"subject":[],"published":{"date-parts":[[2023,10,1]]}}}