Toward Land Vehicle Ego-Velocity Estimation Using Deep Learning and Automotive Radars-Reference-Cited by-同舟云学术

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Toward Land Vehicle Ego-Velocity Estimation Using Deep Learning and Automotive Radars

Published:2024 Issue: Volume:2 Page:460-470
ISSN:2832-7357
Container-title:IEEE Transactions on Radar Systems
language:
Short-container-title:Trans. Rad. Sys.

Author:

de Araujo Paulo Ricardo Marques¹^ORCID,Noureldin Aboelmagd²^ORCID,Givigi Sidney³^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Queen’s University, Kingston, ON, Canada

2. Department of Electrical and Computer Engineering, Royal Military College of Canada, Kingston, ON, Canada

3. School of Computing, Queen’s University, Kingston, ON, Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9931145/10363416/10506480.pdf?arnumber=10506480

Reference35 articles.

1. Automotive Radar — From First Efforts to Future Systems

2. MIMO Radar for Advanced Driver-Assistance Systems and Autonomous Driving: Advantages and Challenges

3. Millimeter Wave FMCW RADARs for Perception, Recognition and Localization in Automotive Applications: A Survey

4. Method for registration of 3-D shapes

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