Neural Network-Based Recent Research Developments in SLAM for Autonomous Ground Vehicles: A Review-Reference-Cited by-同舟云学术

Neural Network-Based Recent Research Developments in SLAM for Autonomous Ground Vehicles: A Review

Published:2023-07-01 Issue:13 Volume:23 Page:13829-13858
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Saleem Hajira¹^ORCID,Malekian Reza¹^ORCID,Munir Hussan¹^ORCID

Affiliation:

1. Department of Computer Science and Media Technology and the Internet of Things and People Research Centre, Malmö University, Malmö, Sweden

Funder

Department of Computer Science and Media Technology and Internet of Things and People Research Centre funded by the Knowledge Foundation and Malmö University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10168680/10123407.pdf?arnumber=10123407

Reference148 articles.

1. Exploring the Effect of 3D Object Removal using Deep Learning for LiDAR-based Mapping and Long-term Vehicular Localization

2. Scale-aware Monocular SLAM Based on Convolutional Neural Network

3. OPR-SLAM: A Semantic SLAM with Occluded Point Recovery for Dynamic Environments

4. Towards Real-time Semantic RGB-D SLAM in Dynamic Environments

5. Empty Cities: A Dynamic-Object-Invariant Space for Visual SLAM

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