A Cooperative Positioning Method of Connected and Automated Vehicles With Fusion of Data Information of Direction-Of Relative Distance and Vehicles Speed
| dc.authorscopusid | 59812511100 | |
| dc.authorscopusid | 6701741537 | |
| dc.contributor.author | Kaky, K.M. | |
| dc.contributor.author | Bilgen, S. | |
| dc.date.accessioned | 2025-06-15T22:09:06Z | |
| dc.date.available | 2025-06-15T22:09:06Z | |
| dc.date.issued | 2025 | |
| dc.department | Okan University | en_US |
| dc.department-temp | [Kaky K.M.] Istanbul Okan University, Faculty of Engineering and Natural Sciences, Istanbul, Turkey; [Bilgen S.] Istanbul Okan University, Faculty of Engineering and Natural Sciences, Istanbul, Turkey | en_US |
| dc.description | IEEE; Jeju National University; Memorial University | en_US |
| dc.description.abstract | This study explores the potential of cellular-vehicle-to-everything (C-V2X) wireless communications in enhancing AV localization in GNSS-deprived scenarios. Specifically, we propose CV2X-LOCA, a novel unit (RSU)-assisted cooperative localization substructure utilizing only C-V2X channel state information to achieve lane-level precision. CV2X-LOCA comprises four main components: a data processing module, environment parameter correction module, coarse positioning module, and vehicle trajectory filtering module, collectively addressing challenges in dynamic C-V2X networks. Through extensive modelling we demonstrate that CV2X-LOCA attains cutting-edge localization performance even in noisy conditions, with fast-moving vehicles and sparse RSU coverage. The findings offer valuable insights for transportation agencies to make informed decisions regarding cost-effective RSU deployment in the future. © 2025 IEEE. | en_US |
| dc.identifier.doi | 10.1109/ICMCR64890.2025.10963299 | |
| dc.identifier.endpage | 62 | en_US |
| dc.identifier.isbn | 9798331544546 | |
| dc.identifier.scopus | 2-s2.0-105004646304 | |
| dc.identifier.scopusquality | N/A | |
| dc.identifier.startpage | 57 | en_US |
| dc.identifier.uri | https://doi.org/10.1109/ICMCR64890.2025.10963299 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14517/8017 | |
| dc.identifier.wosquality | N/A | |
| dc.language.iso | en | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.ispartof | 2025 3rd International Conference on Mechatronics, Control and Robotics, ICMCR 2025 -- 3rd International Conference on Mechatronics, Control and Robotics, ICMCR 2025 -- 14 February 2025 through 16 February 2025 -- Singapore -- 208347 | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Cellular-Vehicle-To-Everything | en_US |
| dc.subject | Localization System | en_US |
| dc.subject | Navigation Satellite Systems | en_US |
| dc.subject | Rsu | en_US |
| dc.title | A Cooperative Positioning Method of Connected and Automated Vehicles With Fusion of Data Information of Direction-Of Relative Distance and Vehicles Speed | en_US |
| dc.type | Conference Object | en_US |