{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T13:36:17Z","timestamp":1769693777652,"version":"3.49.0"},"reference-count":23,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100004663","name":"Ministry of Science and Technology, Taiwan","doi-asserted-by":"publisher","award":["109-2221-E-035-067-MY3"],"award-info":[{"award-number":["109-2221-E-035-067-MY3"]}],"id":[{"id":"10.13039\/501100004663","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004663","name":"Ministry of Science and Technology, Taiwan","doi-asserted-by":"publisher","award":["109-2622-H-035-001-"],"award-info":[{"award-number":["109-2622-H-035-001-"]}],"id":[{"id":"10.13039\/501100004663","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004663","name":"Ministry of Science and Technology, Taiwan","doi-asserted-by":"publisher","award":["108-2221-E-035-063-"],"award-info":[{"award-number":["108-2221-E-035-063-"]}],"id":[{"id":"10.13039\/501100004663","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3105619","type":"journal-article","created":{"date-parts":[[2021,8,16]],"date-time":"2021-08-16T20:21:44Z","timestamp":1629145304000},"page":"115497-115505","source":"Crossref","is-referenced-by-count":15,"title":["IoV-Based Collision Avoidance Architecture Using Machine Learning Prediction"],"prefix":"10.1109","volume":"9","author":[{"given":"Che-Cheng","family":"Chang","sequence":"first","affiliation":[]},{"given":"Yee-Ming","family":"Ooi","sequence":"additional","affiliation":[]},{"given":"Bing-Herng","family":"Sieh","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/OCEANS.2000.881276"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2936799"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2018.2791399"},{"key":"ref13","article-title":"A survey on resource allocation in vehicular networks","author":"noor-a-rahim","year":"2019","journal-title":"arXiv 1909 13587"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2017.2775249"},{"key":"ref15","first-page":"1","article-title":"Cooperative vehicular surrounding sensing system","author":"chang","year":"2016","journal-title":"Proc 23rd ITS World Congr"},{"key":"ref16","article-title":"YOLOv3: An incremental improvement","author":"redmon","year":"2018","journal-title":"arXiv 1804 02767"},{"key":"ref17","year":"2021","journal-title":"YOLO Real-Time Object Detection"},{"key":"ref18","year":"2021","journal-title":"CanVec Transportation (TR) Road Segment—OpenStreetMap Wiki"},{"key":"ref19","article-title":"YOLOv4: Optimal speed and accuracy of object detection","author":"bochkovskiy","year":"2020","journal-title":"arXiv 2004 10934"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1080\/00423110412331282850"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1177\/154193120605002211"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2005.1520022"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1155\/2012\/506235"},{"key":"ref8","article-title":"A novel design for full automatic parking system","author":"chen","year":"2013","journal-title":"Proc 12th Int Conf ITS Telecommun"},{"key":"ref7","first-page":"1","article-title":"Development of an automatic parking system for vehicle","author":"hsu","year":"2008","journal-title":"Proc IEEE Vehicle Power Propuls Conf"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/app9245370"},{"key":"ref1","first-page":"27","article-title":"Collision avoidance architecture based on computer vision with predictive ability","author":"chang","year":"2019","journal-title":"Proc Int Workshop ICAROB-Intell Artif Life Robot"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IRI.2011.6009616"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/app11010385"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/app7060570"},{"key":"ref21","year":"2021","journal-title":"Vehicle Dynamics—Wikipedia"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3390\/app8030355"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09514853.pdf?arnumber=9514853","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:57:32Z","timestamp":1639771052000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9514853\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3105619","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}