Panorama-LiDAR Fusion for Dense Omnidirectional Depth Completion in 3D Street Scene-Reference-Cited by-同舟云学术

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Panorama-LiDAR Fusion for Dense Omnidirectional Depth Completion in 3D Street Scene

Published:2024-05 Issue:2 Volume:70 Page:4756-4766
ISSN:0098-3063
Container-title:IEEE Transactions on Consumer Electronics
language:
Short-container-title:IEEE Trans. Consumer Electron.

Author:

Liu Ruyu¹^ORCID,Qin Yao¹,Pan Yuqi¹,Li Qi¹,Sun Bo²^ORCID,Zhang Jianhua³^ORCID

Affiliation:

1. School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China

2. Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Quanzhou, China

3. College of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Zhejiang Provincial Natural Science Foundation of China

Zhejiang Medical Electronics and Digital Health Key Laboratory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/30/10659242/10521569.pdf?arnumber=10521569

Reference54 articles.

1. Towards SLAM-Based Outdoor Localization using Poor GPS and 2.5D Building Models

2. A real-time stereo depth extraction hardware for intelligent home assistant robot

3. Depth estimation from a monocular view of the outdoors

4. Depth map prediction from a single image using a multi-scale deep network;Eigen

5. Dense Depth Completion Based on Multi-Scale Confidence and Self-Attention Mechanism for Intestinal Endoscopy

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