ViViD++ : Vision for Visibility Dataset-Reference-Cited by-同舟云学术

ViViD++ : Vision for Visibility Dataset

Published:2022-07 Issue:3 Volume:7 Page:6282-6289
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Lee Alex Junho¹^ORCID,Cho Younggun²^ORCID,Shin Young-sik³^ORCID,Kim Ayoung⁴^ORCID,Myung Hyun⁵^ORCID

Affiliation:

1. Department of Civil and Environmental Engineering, KAIST, Daejeon, South Korea

2. Department of Electrical Engineering, Inha University, Incheon, South Korea

3. Korea Institute of Machinery and Materials, Daejeon, South Korea

4. Department of Mechanical Engineering, SNU, Seoul, South Korea

5. School of Electrical Engineering, KAIST, Daejeon, South Korea

Funder

Institute of Information & Communications Technology Planning & Evaluation

Indoor Robot Spatial AI Technology Development

Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/9750005/09760091.pdf?arnumber=9760091

Reference33 articles.

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2. EventVLAD: Visual Place Recognition with Reconstructed Edges from Event Cameras

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4. Hand-Eye Calibration Using Dual Quaternions

5. A 240× 180 10 mw 12us latency sparse-output vision sensor for mobile applications;berner;Proc Symp Very Large Scale Integr Circuits,0

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