Absolute Localization in Feature-Poor Industrial Confined Spaces-Reference-Cited by-同舟云学术

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Absolute Localization in Feature-Poor Industrial Confined Spaces

Published:2023-11-13 Issue: Volume:30 Page:69-75
ISSN:
Container-title:2023 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)
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Author:

Brogaard Rune Y.¹,Hewitt Robert A.²,Etter Sarah³,Kalantari Arash²,Boukas Evangelos¹

Affiliation:

1. Technical University of Denmark,Faculty of Electrical Engineering,Kgs,Lyngby,Denmark

2. California Institute of Technology,Mobility and Robotic Systems Section, NASA Jet Propulsion Laboratory,Pasadena,CA,USA,91109

3. University of Texas,Department of Computer Science,Austin,TX,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10499855/10499925/10499935.pdf?arnumber=10499935

Reference28 articles.

1. Fast Point Feature Histograms (FPFH) for 3D registration

2. Fully Convolutional Geometric Features

3. The Perfect Match: 3D Point Cloud Matching With Smoothed Densities

4. Stereo-Based Visual Odometry for Autonomous Robot Navigation

5. Vehicle Positioning in GNSS-Deprived Urban Areas by Stereo Visual-Inertial Odometry

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1. Location Aware and Drift Control Using a Smartphone On-board an Unmanned Aerial Vehicle;2024 21st International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON);2024-05-27

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