Improving monocular visual SLAM in dynamic environments: an optical-flow-based approach-Reference-Cited by-同舟云学术

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Improving monocular visual SLAM in dynamic environments: an optical-flow-based approach

Published:2019-05-09 Issue:12 Volume:33 Page:576-589
ISSN:0169-1864
Container-title:Advanced Robotics
language:en
Short-container-title:Advanced Robotics

Author:

Cheng Jiyu¹,Sun Yuxiang²,Meng Max Q.-H.¹

Affiliation:

1. Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T. Hong Kong SAR, People's Republic of China

2. Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, People's Republic of China

Funder

Hong Kong Research Grants Council General Research Fund

Innovation and Technology Commission Innovation and Technology Fund

Shenzhen Science and Technology Innovation Projects

Publisher

Informa UK Limited

Subject

Computer Science Applications,Hardware and Architecture,Human-Computer Interaction,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/01691864.2019.1610060

Reference21 articles.

1. ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras

2. ElasticFusion: Real-time dense SLAM and light source estimation

3. Indoor Localization for Skid-Steering Mobile Robot by Fusing Encoder, Gyroscope, and Magnetometer

4. Improving RGB-D SLAM in dynamic environments: A motion removal approach

5. RGB-D SLAM in Dynamic Environments Using Static Point Weighting

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1. RoDyn-SLAM: Robust Dynamic Dense RGB-D SLAM With Neural Radiance Fields;IEEE Robotics and Automation Letters;2024-09

2. Dynamic visual SLAM based on probability screening and weighting for deep features;Measurement;2024-08

3. SFD-SLAM: a novel dynamic RGB-D SLAM based on saliency region detection;Measurement Science and Technology;2024-07-09

4. Neural network-based robot localization using visual features;Ingenius;2024-07-01

5. LiDAR-based SLAM pose estimation via GNSS graph optimization algorithm;Measurement Science and Technology;2024-06-04

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