F<sup>3</sup>VeTrac: Enabling Fine-grained, Fully-road-covered, and Fully-individual penetrative Vehicle Trajectory Recovery-Reference-Cited by-同舟云学术

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F³VeTrac: Enabling Fine-grained, Fully-road-covered, and Fully-individual penetrative Vehicle Trajectory Recovery

Published:2023 Issue: Volume: Page:1-16
ISSN:1536-1233
Container-title:IEEE Transactions on Mobile Computing
language:
Short-container-title:IEEE Trans. on Mobile Comput.

Author:

Cao Zijian¹^ORCID,Zhao Dong¹^ORCID,Song Hanxing¹,Yuan Haitao²,Wang Qiyue¹,Ma Huadong¹^ORCID,Tong Jianjun³,Tan Chang³

Affiliation:

1. Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China

2. School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore

3. iFLYTEK Research, IFLYTEK Co., Ltd, Hefei, Anhui, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

http://xplorestaging.ieee.org/ielx7/7755/4358975/10209220.pdf?arnumber=10209220

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