{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T12:07:46Z","timestamp":1777982866955,"version":"3.51.4"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100002347","name":"German Federal Ministry of Education and Research, based on a Decision of the Deutsche Bundestag","doi-asserted-by":"publisher","award":["16ME0173"],"award-info":[{"award-number":["16ME0173"]}],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3220904","type":"journal-article","created":{"date-parts":[[2022,11,9]],"date-time":"2022-11-09T20:39:08Z","timestamp":1668026348000},"page":"118236-118242","source":"Crossref","is-referenced-by-count":6,"title":["The Inadequacy of Discrete Scenarios in Assessing Deep Neural Networks"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0654-0684","authenticated-orcid":false,"given":"T.","family":"Ken Mori","sequence":"first","affiliation":[{"name":"Institute of Automotive Engineering, Technical University of Darmstadt, Darmstadt, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xu","family":"Liang","sequence":"additional","affiliation":[{"name":"Institute of Automotive Engineering, Technical University of Darmstadt, Darmstadt, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lukas","family":"Elster","sequence":"additional","affiliation":[{"name":"Institute of Automotive Engineering, Technical University of Darmstadt, Darmstadt, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3131-1664","authenticated-orcid":false,"given":"Steven","family":"Peters","sequence":"additional","affiliation":[{"name":"Institute of Automotive Engineering, Technical University of Darmstadt, Darmstadt, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Scalability in perception for autonomous driving: Waymo open dataset","author":"sun","year":"2019","journal-title":"arXiv 1912 04838"},{"key":"ref38","article-title":"NuScenes: A multimodal dataset for autonomous driving","author":"caesar","year":"2019","journal-title":"arXiv 1903 11027"},{"key":"ref33","article-title":"The efficacy of neural planning metrics: A meta-analysis of PKL on nuScenes","author":"guo","year":"2020","journal-title":"arXiv 2010 09350"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2017.12.012"},{"key":"ref31","author":"jocher","year":"2020","journal-title":"YOLOv5"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3398394"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01247-4"},{"key":"ref34","article-title":"One metric to measure them all: Localisation recall precision (LRP) for evaluating visual detection tasks","author":"oksuz","year":"2020","journal-title":"arXiv 2011 10772"},{"key":"ref28","article-title":"Mish: A self regularized non-monotonic activation function","author":"misra","year":"2019","journal-title":"arXiv 1908 08681"},{"key":"ref27","article-title":"Searching for activation functions","author":"ramachandran","year":"2017","journal-title":"arXiv 1710 05941"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2010.5537907"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.4271\/2016-01-0049"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-658-05734-3_62"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/2968478.2968498"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s11831-020-09473-7"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511760396"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-45078-5_12"},{"key":"ref23","author":"dahmen","year":"2008","journal-title":"Numerik for Ingenieure und Naturwissenschaftler"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ASE.2019.00079"},{"key":"ref25","article-title":"Bounds on the approximation power of feedforward neural networks","author":"mehrabi","year":"2018","journal-title":"arXiv 1806 11416"},{"key":"ref50","article-title":"Deep residual learning for image recognition","author":"he","year":"2015","journal-title":"arXiv 1512 03385"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/QRS-C51114.2020.00045"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2972974"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s42154-021-00172-y"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.01.085"},{"key":"ref13","first-page":"336","article-title":"Safety concerns and mitigation approaches regarding the use of deep learning in safety-critical perception tasks","volume":"12235","author":"willers","year":"2020","journal-title":"Computer Safety Reliability and Security"},{"key":"ref14","year":"1999"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.5220\/0007678600002179"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500600"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2017.8317919"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ISSE51541.2021.9582499"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00170"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/su122410476"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2017.08.043"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3053159"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2019.8814099"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2019.8813776"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2993730"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-01233-4_1"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.593"},{"key":"ref45","article-title":"Probabilistic two-stage detection","author":"zhou","year":"2021","journal-title":"arXiv 2103 07461"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.3390\/en15030989"},{"key":"ref47","article-title":"SimpleTrack: Understanding and rethinking 3D multi-object tracking","author":"pang","year":"2021","journal-title":"arXiv 2111 09621"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58555-6_3"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00075"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3028503"},{"key":"ref43","article-title":"AFDetV2: Rethinking the necessity of the second stage for object detection from point clouds","author":"hu","year":"2021","journal-title":"arXiv 2112 09205"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09943537.pdf?arnumber=9943537","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,12]],"date-time":"2022-12-12T19:50:39Z","timestamp":1670874639000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9943537\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3220904","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}