{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T10:04:34Z","timestamp":1777889074653,"version":"3.51.4"},"reference-count":58,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"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":[[2025,10,19]]},"DOI":"10.1109\/iccv51701.2025.02428","type":"proceedings-article","created":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T19:45:49Z","timestamp":1777491949000},"page":"26167-26177","source":"Crossref","is-referenced-by-count":0,"title":["OD-RASE: Ontology-Driven Risk Assessment and Safety Enhancement for Autonomous Driving"],"prefix":"10.1109","author":[{"given":"Kota","family":"Shimomura","sequence":"first","affiliation":[{"name":"Chubu University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Masaki","family":"Nambata","sequence":"additional","affiliation":[{"name":"Chubu University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Atsuya","family":"Ishikawa","sequence":"additional","affiliation":[{"name":"Honda R&D Co., Ltd."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ryota","family":"Mimura","sequence":"additional","affiliation":[{"name":"Honda R&D Co., Ltd."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Koki","family":"Inoue","sequence":"additional","affiliation":[{"name":"Elith Inc."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Takayoshi","family":"Yamashita","sequence":"additional","affiliation":[{"name":"Chubu University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Takayuki","family":"Kawabuchi","sequence":"additional","affiliation":[{"name":"Honda R&D Co., Ltd."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"14","article-title":"Road diet case studies: Santa monica","year":"2015","journal-title":"california ocean park boulevard. U.S. Department of Transportation Federal Highway Administration"},{"key":"ref2","article-title":"Road infrastructure guidelines: New eu-wide guidelines to assess safety of road infrastructure","year":"2023","journal-title":"European Commission: Mobility & Transport - Road Safety"},{"key":"ref3","first-page":"2024","journal-title":"GPT-4o system card"},{"key":"ref4","author":"Abdin","year":"2024","journal-title":"Phi-3 technical report: A highly capable language model locally on your phone"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01764"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01164"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-54190-7_9"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52733.2024.02283"},{"issue":"70","key":"ref9","first-page":"1","article-title":"Scaling instruction-finetuned language models","volume":"25","author":"Won Chung","year":"2024","journal-title":"Journal of Machine Learning Research"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1002\/cl2.1077"},{"key":"ref12","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","volume-title":"International Conference on Learning Representations (ICLR)","author":"Dosovitskiy","year":"2021"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/designs7040100"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/infrastructures9090154"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref17","article-title":"Denoising diffusion probabilistic models","author":"Ho","year":"2020","journal-title":"Advances in Neural Information Processing Systems (NeurIPS)"},{"key":"ref18","article-title":"Road safety audit for the intersection of cedar road and brainard road and i-271 interchange with brainard road and cedar road","author":"Holozadah","year":"2013","journal-title":"Northeast Ohio Areawide Coordinating Agency"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01712"},{"key":"ref20","article-title":"Relationship of lane width to safety for urban and suburban arterials","volume":"1","author":"Harwood","year":"2023","journal-title":"Transportation Research Board"},{"key":"ref21","article-title":"Action plan for implementing pedestrian crossing countermeasures at uncontrolled locations.","year":"2018","journal-title":"North Carolina Department of Transportation"},{"key":"ref22","article-title":"Porter. Road diet informational guide. U.S","author":"Knapp","year":"2010","journal-title":"Department of Transportation Federal Highway Administration"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3592433"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01216-8_35"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01084"},{"key":"ref26","author":"Li","year":"2024","journal-title":"Data-centric evolution in autonomous driving: A comprehensive survey of big data system, data mining, and closed-loop technologies"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.52202\/075280-1516"},{"key":"ref28","article-title":"Roberta: A robustly optimized bert pretraining approach","volume-title":"Proceedings of the 20th Chinese National Conference on Computational Linguistics","author":"Liu","year":"2020"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00110"},{"issue":"4","key":"ref30","article-title":"Public roads - winter 2022","volume":"85","author":"Svolsbru","year":"2022","journal-title":"U.S. Department of Transportation Federal Highway Administration"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_24"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.534"},{"key":"ref33","article-title":"Learning transferable visual models from natural language supervision","volume-title":"Proceedings of the 38th International Conference on Machine Learning (ICML)","author":"Radford","year":"2025"},{"key":"ref34","article-title":"Transfusion: Understanding transfer learning for medical imaging","author":"Raghu","year":"2019","journal-title":"Advances in Neural Information Processing Systems (NeurIPS)"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00803"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.2105\/ajph.91.4.628"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/0001-4575(94)00068-W"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.2105\/ajph.91.4.628"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW63382.2024.00453"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72943-0_15"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/IV55156.2024.10588799"},{"key":"ref42","author":"Wang","year":"2024","journal-title":"Qwen2-vl: Enhancing vision-language model\u2019s perception of the world at any resolution"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.52202\/068431-1800"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52733.2024.01428"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00659"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01463"},{"key":"ref47","article-title":"Wilson. 2+1 roads - swedish innovation canadian rural road solution","volume-title":"CARSP\/PRI JOINT VIRTUAL CONFERENCE","year":"2021"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51701.2025.00621"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr42600.2020.00954"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01710"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01389"},{"key":"ref52","article-title":"Emernerf: Emergent spatial-temporal scene decomposition via self-supervision","volume-title":"International Conference on Learning Representations","author":"Yang","year":"2024"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00271"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72983-6_18"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01402"},{"key":"ref56","author":"Zhang","year":"2022","journal-title":"Beverse: Unified perception and prediction in birds-eye-view for vision-centric autonomous driving"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC55140.2022.9922081"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02044"}],"event":{"name":"2025 IEEE\/CVF International Conference on Computer Vision (ICCV)","location":"Honolulu, HI, USA","start":{"date-parts":[[2025,10,19]]},"end":{"date-parts":[[2025,10,25]]}},"container-title":["2025 IEEE\/CVF International Conference on Computer Vision (ICCV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11443115\/11443287\/11444436.pdf?arnumber=11444436","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T05:06:04Z","timestamp":1777611964000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11444436\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,19]]},"references-count":58,"URL":"https:\/\/doi.org\/10.1109\/iccv51701.2025.02428","relation":{},"subject":[],"published":{"date-parts":[[2025,10,19]]}}}