{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T02:24:34Z","timestamp":1730255074076,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,5,10]],"date-time":"2021-05-10T00:00:00Z","timestamp":1620604800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,5,10]],"date-time":"2021-05-10T00:00:00Z","timestamp":1620604800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,10]],"date-time":"2021-05-10T00:00:00Z","timestamp":1620604800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5,10]]},"DOI":"10.1109\/icps49255.2021.9468225","type":"proceedings-article","created":{"date-parts":[[2021,7,5]],"date-time":"2021-07-05T20:39:55Z","timestamp":1625517595000},"page":"591-596","source":"Crossref","is-referenced-by-count":1,"title":["Impact of Automotive System Safety Design on Machine Learning Based Perception Systems"],"prefix":"10.1109","author":[{"given":"Vasu","family":"Singh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mandar","family":"Pitale","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"journal-title":"An Analysis of ISO 26262 Using Machine Learning Safely in Automotive Software","year":"2017","author":"salay","key":"ref10"},{"key":"ref11","article-title":"Assuring the machine learning lifecycle: Desiderata, methods, and challenges","volume":"abs 1905 4223","author":"ashmore","year":"2019","journal-title":"CoRR"},{"journal-title":"Concepts of Design Assurance for Neural Networks (CoDANN)","article-title":"Concepts of design assurance for neural networks (CoDANN)","year":"2020","key":"ref12"},{"key":"ref13","first-page":"124","article-title":"UL4600 voting version","year":"2019","journal-title":"ANSI\/UL-4600 Standard for Evaluation of Autonomous Products"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2972974"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3132747.3132785"},{"key":"ref16","first-page":"116","article-title":"Safety first for automated driving","year":"2019","journal-title":"Safety first for automated driving"},{"journal-title":"Surface Vehicle Recommended Practive Taxonomy and Definitions for Terms Related to On-Road Motor Vehicle Automated Driving Systems","article-title":"Surface vehicle recommended practice - taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles","year":"2018","key":"ref17"},{"key":"ref18","first-page":"162","article-title":"Practical solutions for machine learning safety in autonomous vehicles","volume":"2560","author":"mohseni","year":"2020","journal-title":"Proceedings of the Workshop on Artificial Intelligence Safety co-located with 34th AAAI Conference on Artificial Intelligence SafeAI AAAI 2020"},{"key":"ref19","first-page":"20","article-title":"Formal specification for deep neural networks","author":"seshia","year":"0","journal-title":"International Symposium on Automated Technology for Verification and Analysis"},{"key":"ref4","first-page":"379","article-title":"R-FCN: Object detection via region-based fully convolutional networks","author":"dai","year":"0","journal-title":"NIPS"},{"journal-title":"Can autonomous vehicles identify recover from and adapt to distribution shifts?","year":"2020","author":"filos","key":"ref27"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01298"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00472"},{"year":"2018","key":"ref8"},{"key":"ref7","article-title":"PV-RCNN: Point-voxel feature set abstraction for 3d object detection","author":"shi","year":"0","journal-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1007\/978-3-319-46448-0_2","article-title":"SSD: Single shot multibox detector","author":"liu","year":"2016","journal-title":"Computer Vision - ECCV 2016"},{"year":"0","key":"ref9"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-25540-4_25"},{"key":"ref22","article-title":"Microsoft COCO: common objects in context","volume":"abs 1405 312","author":"lin","year":"2014","journal-title":"CoRR"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0733-5"},{"key":"ref24","first-page":"6402","article-title":"Simple and scalable predictive uncertainty estimation using deep ensembles","author":"lakshminarayanan","year":"2017","journal-title":"Advances in Neural Information Processing Systems 30 Annual Conference on Neural Information Processing Systems 2017"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3390\/s18030894"},{"key":"ref26","first-page":"1050","article-title":"Dropout as a bayesian approximation: Representing model uncertainty in deep learning","author":"gal","year":"0","journal-title":"ICML"},{"journal-title":"Uncertainty in deep learning","year":"2016","author":"gal","key":"ref25"}],"event":{"name":"2021 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS)","start":{"date-parts":[[2021,5,10]]},"location":"Victoria, BC, Canada","end":{"date-parts":[[2021,5,12]]}},"container-title":["2021 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9467798\/9468113\/09468225.pdf?arnumber=9468225","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:46:05Z","timestamp":1652197565000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9468225\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,10]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/icps49255.2021.9468225","relation":{},"subject":[],"published":{"date-parts":[[2021,5,10]]}}}