A Robust Learned Feature-Based Visual Odometry System for UAV Pose Estimation in Challenging Indoor Environments-Reference-Cited by-同舟云学术

A Robust Learned Feature-Based Visual Odometry System for UAV Pose Estimation in Challenging Indoor Environments

Published:2023 Issue: Volume:72 Page:1-11
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Yu Leijian¹^ORCID,Yang Erfu¹^ORCID,Yang Beiya¹^ORCID,Fei Zixiang²^ORCID,Niu Cong¹^ORCID

Affiliation:

1. Department of Design, Manufacturing and Engineering Management, University of Strathclyde, Glasgow, U.K

2. School of Computer Engineering and Science, Shanghai University, Shanghai, China

Funder

UK Net Zero Technology Centre (NZTC) through Low-Cost Intelligent UAV Swarming Technology for Visual Inspection of Oil and Gas Vessels (LOCUST) Research Project

Royal Society through Path Planning of Robots in Complex Environments via the Multiobjective Evolutionary Algorithm Based on Decomposition (MOEA/D-PPR) Research Project

China Scholarship Council

International Fees Only Studentship through the University of Strathclyde

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10132859.pdf?arnumber=10132859

Reference54 articles.

1. ORB-SLAM2: An open-source SLAM system for monocular, stereo, and RGB-D cameras;mur-artal;IEEE Trans Robot,2017

2. ORB-SLAM: A Versatile and Accurate Monocular SLAM System

3. Multiple Incremental Kernel Convolution for Land Cover Classification of Remotely Sensed Images