An integrated framework for fully sampled vehicle trajectory reconstruction using a fused dataset
sponsorship: C. Roncoli's work has been partly funded by the Academy of Finland project ALCOSTO (grand number: 349327). The G. Ren's work has been provided by the National Key Research and Development Program of China (grand number: 2019YFB1600200). The works of other authors have been funded by the Postgraduate Research & Practice Innovation Program of Jiangsu Province (grand number: KYCX21_0129) and the China Scholarship Council (grand number: CSC202206090215). (Academy of Finland|349327, National Key Research and Development Program of China|2019YFB1600200, Postgraduate Research & Practice Innovation Program of Jiangsu Province|KYCX21_0129, China Scholarship Council|CSC202206090215)
Authors
- Gang Ren (ORCID: https://orcid.org/0000-0002-3412-0831)
- Bingtong Wang (ORCID: https://orcid.org/0000-0002-5747-857X)
- Shunchao Wang (ORCID: https://orcid.org/0000-0002-7826-5880)
- Claudio Roncoli (ORCID: https://orcid.org/0000-0002-9381-3021)
- Jingcai Yu (ORCID: https://orcid.org/0000-0003-4447-0488)
- Jingfeng Ma (ORCID: https://orcid.org/0000-0002-8246-5973)
- Yuanxiang Yang
Institutions
- Kunming University of Science and Technology (CN)
- Southeast University (CN)
- Aalto University (FI)
Publication Details
- Journal
- Transportmetrica A Transport Science
- Published
- 2025-01-09
- DOI
- https://doi.org/10.1080/23249935.2024.2445141
- Citations
- 9
- Primary Topic
- Autonomous Vehicle Technology and Safety
- Type
- article
- Field-Weighted Citation Impact
- 6.15
Funders
- China Scholarship Council
- National Key Research and Development Program of China