A Visual-Inertial Navigation Coupled Localization Method Based on Adaptive Point-Line Feature Extraction
Author:
Affiliation:
1. School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai, China
2. College of Electronics and Information Engineering, Tongji University, Shanghai, China
Funder
National Natural Science Foundation of China
Shanghai Science and Technology Commission Project
China University Industry, University and Research Innovation Fund
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10286142/10250193.pdf?arnumber=10250193
Reference29 articles.
1. VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator
2. Visual-Inertial Monocular SLAM With Map Reuse
3. LSD: a Line Segment Detector
4. Robust visual SLAM with point and line features
5. Keyframe-based visual–inertial odometry using nonlinear optimization
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1. Monocular Visual-Inertial SLAM With IMU-Aided Hybrid Line Matching;IEEE Sensors Letters;2024-09
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