{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T19:55:38Z","timestamp":1771703738553,"version":"3.50.1"},"reference-count":29,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Joint Fund for Innovative Enterprise Development","award":["U23B2061"],"award-info":[{"award-number":["U23B2061"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shanghai Municipal Science and Technology Major Project","award":["2021SHZDZX0100"],"award-info":[{"award-number":["2021SHZDZX0100"]}]},{"name":"Xiaomi Young Talents Program\/Xiaomi Foundation"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Veh. Technol."],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1109\/tvt.2024.3436614","type":"journal-article","created":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T17:24:23Z","timestamp":1722619463000},"page":"18198-18207","source":"Crossref","is-referenced-by-count":3,"title":["Expected Integral Discrete Gradient: Diagnosing Autonomous Driving Model"],"prefix":"10.1109","volume":"73","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7313-0277","authenticated-orcid":false,"given":"Meng","family":"Li","sequence":"first","affiliation":[{"name":"Department of Control Science and Engineering, Tongji University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hengyang","family":"Sun","sequence":"additional","affiliation":[{"name":"Clean Energy Automotive Engineering Center, Tongji University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-6025-6640","authenticated-orcid":false,"given":"Zhihao","family":"Cui","sequence":"additional","affiliation":[{"name":"Clean Energy Automotive Engineering Center, Tongji University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3133-8031","authenticated-orcid":false,"given":"Yanjun","family":"Huang","sequence":"additional","affiliation":[{"name":"Clean Energy Automotive Engineering Center, Tongji University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1724-8649","authenticated-orcid":false,"given":"Hong","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Control Science and Engineering, Tongji University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2023.3345632"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2024.3364363"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-021-04357-7"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-023-05732-2"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3217299"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s42154-023-00256-x"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-020-00257-z"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-023-00657-x"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-018-0304-0"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-021-00343-w"},{"key":"ref11","first-page":"48","article-title":"Meaningful information and the right to explanation","volume-title":"Proc. Conf. Fairness, Accountability Transparency","author":"Selbst","year":"2018"},{"key":"ref12","article-title":"To explain or not to explain: A study on the necessity of explanations for autonomous vehicles","author":"Shen","year":"2020"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3027314"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-022-01657-x"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3334480.3382986"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2021.3100641"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ophtha.2018.11.016"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.1002683"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-3020"},{"key":"ref20","first-page":"3145","article-title":"Learning important features through propagating activation differences","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Shrikumar","year":"2017"},{"key":"ref21","article-title":"A unified approach to interpreting model predictions","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Lundberg","year":"2017"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0130140"},{"key":"ref23","first-page":"3319","article-title":"Axiomatic attribution for deep networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Sundararajan","year":"2017"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2018.8569552"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2023.3266196"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2024.3393634"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2606492"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.32614\/cran.package.xgboost"},{"key":"ref29","first-page":"108","article-title":"API design for machine learning software: Experiences from the scikit-learn project","volume-title":"Proc. ECML PKDD Workshop: Lang. Data Mining Mach. Learn.","author":"Buitinck","year":"2013"}],"container-title":["IEEE Transactions on Vehicular Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/25\/10807699\/10620632.pdf?arnumber=10620632","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,15]],"date-time":"2025-01-15T19:47:54Z","timestamp":1736970474000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10620632\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":29,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tvt.2024.3436614","relation":{},"ISSN":["0018-9545","1939-9359"],"issn-type":[{"value":"0018-9545","type":"print"},{"value":"1939-9359","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12]]}}}