The YTU dataset and recurrent neural network based visual-inertial odometry-Reference-Cited by-同舟云学术

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The YTU dataset and recurrent neural network based visual-inertial odometry

Published:2021-11 Issue: Volume:184 Page:109878
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Gurturk Mert,Yusefi Abdullah,Aslan Muhammet Fatih,Soycan Metin,Durdu Akif,Masiero Andrea

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference35 articles.

1. A comparative analysis of LiDAR SLAM-based indoor navigation for autonomous vehicles;Zou;IEEE Trans. Intell. Transp. Syst.,2021

2. Robust GICP-based 3D LiDAR SLAM for underground mining environment;Ren;Sensors (Basel),2019

3. Deep learning for underwater visual odometry estimation;Teixeira;IEEE Access,2020

4. An overview to visual odometry and visual SLAM: applications to mobile robotics;Yousif;Intell. Ind. Syst.,2015

5. Efficient laser-based 3D SLAM for coal mine rescue robots;Li;IEEE Access,2019

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3. A Visual-Inertial Dynamic Object Tracking SLAM Tightly Coupled System;IEEE Sensors Journal;2023-09-01

4. A Comparison of Monocular Visual SLAM and Visual Odometry Methods Applied to 3D Reconstruction;Applied Sciences;2023-07-31

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