IGICP: Intensity and Geometry Enhanced LiDAR Odometry-Reference-Cited by-同舟云学术

IGICP: Intensity and Geometry Enhanced LiDAR Odometry

Published:2023 Issue: Volume: Page:1-14
ISSN:2379-8904
Container-title:IEEE Transactions on Intelligent Vehicles
language:
Short-container-title:IEEE Trans. Intell. Veh.

Author:

He Li¹^ORCID,Li Wen²^ORCID,Guan Yisheng²^ORCID,Zhang Hong¹^ORCID

Affiliation:

1. Shenzhen Key Laboratory of Robotics and Computer Vision, and with the Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China

2. School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, China

Funder

National Natural Science Foundation of China

Pearl River Talent Recruitment Program

Shenzhen Key Laboratory of Robotics and Computer Vision

Open Projects Program of State Key Laboratory of Multimodal Artificial Intelligence Systems

Guangdong Basic and Applied Basic Research Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/7274857/7448921/10328702.pdf?arnumber=10328702

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