{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T18:30:32Z","timestamp":1772908232745,"version":"3.50.1"},"reference-count":32,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000781","name":"European Research Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000781","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Safe data-driven control for human-centric systems","award":["864686"],"award-info":[{"award-number":["864686"]}]},{"name":"European Union Through Project ReHyb","award":["871767"],"award-info":[{"award-number":["871767"]}]},{"name":"TUM AGENDA 2030"},{"DOI":"10.13039\/501100002347","name":"Bundesministerium f\u00fcr Bildung und Forschung","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Free State of Bavaria"},{"name":"Excellence Strategy of the Federal Government"},{"name":"Länder as well as by the Hightech Agenda Bavaria"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2023,11]]},"DOI":"10.1109\/lra.2023.3322899","type":"journal-article","created":{"date-parts":[[2023,10,9]],"date-time":"2023-10-09T19:30:31Z","timestamp":1696879831000},"page":"7825-7832","source":"Crossref","is-referenced-by-count":4,"title":["Vision-Based Uncertainty-Aware Motion Planning Based on Probabilistic Semantic Segmentation"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2283-3161","authenticated-orcid":false,"given":"Ralf","family":"R\u00f6mer","sequence":"first","affiliation":[{"name":"Learning Systems and Robotics Lab (LSY), TUM School of Computation, Information and Technology, Technical University of Munich, Munich, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6263-5608","authenticated-orcid":false,"given":"Armin","family":"Lederer","sequence":"additional","affiliation":[{"name":"Chair of Information-Oriented Control (ITR), TUM School of Computation, Information and Technology, Technical University of Munich, Munich, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-7298-6073","authenticated-orcid":false,"given":"Samuel","family":"Tesfazgi","sequence":"additional","affiliation":[{"name":"Chair of Information-Oriented Control (ITR), TUM School of Computation, Information and Technology, Technical University of Munich, Munich, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7819-5926","authenticated-orcid":false,"given":"Sandra","family":"Hirche","sequence":"additional","affiliation":[{"name":"Chair of Information-Oriented Control (ITR), TUM School of Computation, Information and Technology, Technical University of Munich, Munich, Germany"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.23919\/ICAC50006.2021.9594247"},{"key":"ref12","article-title":"mixup: Beyond empirical risk minimization","author":"zhang","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2018.2801279"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341347"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref30","article-title":"Rethinking atrous convolution for semantic image segmentation","author":"chen","year":"2017"},{"key":"ref11","article-title":"Improved regularization of convolutional neural networks with cutout","author":"devries","year":"2017"},{"key":"ref10","first-page":"20063","article-title":"Uncertainty quantification and deep ensembles","author":"rahaman","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref32","article-title":"Deep ensembles in bioimage segmentation","author":"nanni","year":"2021"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2572683"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.97"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CDC40024.2019.9030133"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8202163"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1177\/0278364911406761"},{"key":"ref18","first-page":"654","article-title":"Guaranteeing safety of learned perception modules via measurement-robust control barrier functions","author":"dean","year":"0","journal-title":"Proc Conf Robot Learn"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00294"},{"key":"ref23","doi-asserted-by":"crossref","DOI":"10.1186\/s40537-019-0197-0","article-title":"A survey on image data augmentation for deep learning","volume":"6","author":"shorten","year":"2019","journal-title":"J Big Data"},{"key":"ref26","first-page":"1321","article-title":"On calibration of modern neural networks","author":"guo","year":"0","journal-title":"Proc 30th Int Conf Mach Learn"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.7000"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2975727"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1177\/027836498500400301"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.compchemeng.2020.106844"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.arcontrol.2009.07.001"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.2514\/6.2013-5097"},{"key":"ref8","first-page":"13991","article-title":"Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift","author":"ovadia","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref7","first-page":"6405","article-title":"Simple and scalable predictive uncertainty estimation using deep ensembles","author":"lakshminarayanan","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3006437"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2893494"},{"key":"ref3","first-page":"5580","article-title":"What uncertainties do we need in bayesian deep learning for computer vision?","author":"kendall","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref6","first-page":"1050","article-title":"Dropout as a Bayesian approximation: Representing model uncertainty in deep learning","author":"gal","year":"0","journal-title":"Proc Int Conf Int Conf Mach Learn"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793510"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/10254630\/10274109.pdf?arnumber=10274109","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,6]],"date-time":"2023-11-06T19:49:07Z","timestamp":1699300147000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10274109\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11]]},"references-count":32,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/lra.2023.3322899","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"value":"2377-3766","type":"electronic"},{"value":"2377-3774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11]]}}}