Globally Optimal Robust Radar Calibration in Intelligent Transportation Systems-Reference-Cited by-同舟云学术

Globally Optimal Robust Radar Calibration in Intelligent Transportation Systems

Published:2023-06 Issue:6 Volume:24 Page:6082-6095
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Li Xinyi¹^ORCID,Liu Yinlong²^ORCID,Lakshminarasimhan Venkatnarayanan¹^ORCID,Cao Hu¹^ORCID,Zhang Feihu³^ORCID,Knoll Alois¹^ORCID

Affiliation:

1. Chair of Robotics, Artificial Intelligence and Real-time Systems, TUM School of Computation, Information and Technology, Technical University of Munich, Munich, Germany

2. Faculty of Science and Technology, University of Macau, Macau, China

3. School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, China

Funder

Federal Ministry for Digital and Transport, Germany, through the research project Providentia++

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/ielx7/6979/10139322/10070382.pdf?arnumber=10070382

Reference51 articles.

1. Extrinsic 6DoF calibration of 3D LiDAR and radar

2. RaDICaL: A Synchronized FMCW Radar, Depth, IMU and RGB Camera Data Dataset With Low-Level FMCW Radar Signals

3. Extrinsic 6DoF calibration of a radar–LiDAR–camera system enhanced by radar cross Section estimates evaluation;perši?;Robot Auton Syst,2019

4. A Comparative Study on Camera-Radar Calibration Methods

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