{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T19:00:34Z","timestamp":1764961234695,"version":"3.46.0"},"reference-count":29,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Australian Research Council (ARC) Industrial Transformation Research Hub Scheme","award":["IH180100010"],"award-info":[{"award-number":["IH180100010"]}]},{"name":"ARC Discovery Projects Scheme","award":["DP210102447"],"award-info":[{"award-number":["DP210102447"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1109\/tits.2025.3610916","type":"journal-article","created":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T18:06:17Z","timestamp":1761588377000},"page":"22178-22188","source":"Crossref","is-referenced-by-count":0,"title":["A Novel Robustness Measure for Evaluating Perceptions in Autonomous Driving"],"prefix":"10.1109","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-5208-1649","authenticated-orcid":false,"given":"Minh Thai","family":"Nguyen","sequence":"first","affiliation":[{"name":"Department of Civil and Environmental Engineering, Faculty of Engineering, Monash University, Melbourne, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7771-9836","authenticated-orcid":false,"given":"Quang-Hung","family":"Luu","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, Faculty of Engineering, Monash University, Melbourne, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6984-2060","authenticated-orcid":false,"given":"Hai L.","family":"Vu","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, Faculty of Engineering, Monash University, Melbourne, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"volume-title":"Nearly 400 Car Crashes in the U.S. Within Ten Months Were Caused by Driver-Assistance Technology, Including 273 Teslas Operating in Full Self Driving Mode, Bombshell Report Reveals","year":"2023","author":"Talbot","key":"ref1"},{"key":"ref2","first-page":"385","article-title":"A comprehensive study of autonomous vehicle bugs","volume-title":"Proc. ACM\/IEEE 42nd Int. Conf. Softw. Eng.","author":"Garcia"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2023.109165"},{"volume-title":"LiDAR Remains the Secret Sauce for Truly Autonomous Cars (Despite What Musk Says)","year":"2023","author":"Poor","key":"ref4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3180155.3180220"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-28387-1_23"},{"key":"ref7","article-title":"Towards deep learning models resistant to adversarial attacks","author":"Madry","year":"2017","journal-title":"arXiv:1706.06083"},{"key":"ref8","first-page":"5389","article-title":"Do imagenet classifiers generalize to ImageNet?","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Recht"},{"key":"ref9","first-page":"18583","article-title":"Measuring robustness to natural distribution shifts in image classification","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Taori"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/SaTML64287.2025.00050"},{"key":"ref11","first-page":"877","article-title":"Towards robust LiDAR-based perception in autonomous driving: General black-box adversarial sensor attack and countermeasures","volume-title":"Proc. 29th USENIX Security Symp. (USENIX Secur.)","author":"Sun"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IV55156.2024.10588664"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW59228.2023.00321"},{"key":"ref14","article-title":"Benchmarking neural network robustness to common corruptions and perturbations","author":"Hendrycks","year":"2019","journal-title":"arXiv:1903.12261"},{"key":"ref15","article-title":"Benchmarking robustness in object detection: Autonomous driving when winter is coming","author":"Michaelis","year":"2019","journal-title":"arXiv:1907.07484"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00105"},{"key":"ref17","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Tarvainen"},{"key":"ref18","article-title":"Estimating model performance under covariate shift without labels","author":"Bia\u0142ek","year":"2024","journal-title":"arXiv:2401.08348"},{"key":"ref19","first-page":"4218","article-title":"Improving robustness using generated data","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Gowal"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-40994-3_29"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00721"},{"key":"ref22","first-page":"107984","article-title":"YOLOv10: Real-time end-to-end object detection","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"37","author":"Wang"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01298"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/s18103337"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8594049"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00535"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1134\/S1062739121020113"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2023.3318317"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/PerCom45495.2020.9127389"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6979\/11278554\/11218000.pdf?arnumber=11218000","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T18:41:22Z","timestamp":1764960082000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11218000\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12]]},"references-count":29,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tits.2025.3610916","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"type":"print","value":"1524-9050"},{"type":"electronic","value":"1558-0016"}],"subject":[],"published":{"date-parts":[[2025,12]]}}}