Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning-Reference-Cited by-同舟云学术

Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning

Published:2022-12 Issue:12 Volume:23 Page:23231-23243
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Sun Yiwen¹^ORCID,Hu Wenzheng²^ORCID,Zhou Donghua³^ORCID,Mo Baichuan⁴^ORCID,Fu Kun⁵,Che Zhengping⁶^ORCID,Wang Zheng⁵,Wang Shenhao⁷^ORCID,Zhao Jinhua⁷^ORCID,Ye Jieping⁵^ORCID,Tang Jian⁶^ORCID,Zhang Changshui¹^ORCID

Affiliation:

1. Department of Automation, Tsinghua University, State Key Lab of Intelligent Technologies and Systems, Beijing National Research Center for Information Science and Technology (BNRist), Institute for Artificial Intelligence, Tsinghua University (THUAI), Beijing, China

2. State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China

3. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China

4. Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA

5. Beike AI Tech, Beijing, China

6. Midea Group, Beijing, China

7. Massachusetts Institute of Technology, Cambridge, MA, USA

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/9972869/09875053.pdf?arnumber=9875053

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