Real-Time Visual-Inertial Localization Using Semantic Segmentation towards Dynamic Environments

10.1109/ACCESS.2020.3018557

Saved in:
Bibliographic Details
Main Authors: Zhao, X., Wang, C., Ang, M.H.
Other Authors: MECHANICAL ENGINEERING
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:
Online Access:https://scholarbank.nus.edu.sg/handle/10635/197350
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: National University of Singapore
id sg-nus-scholar.10635-197350
record_format dspace
spelling sg-nus-scholar.10635-1973502024-04-04T02:33:55Z Real-Time Visual-Inertial Localization Using Semantic Segmentation towards Dynamic Environments Zhao, X. Wang, C. Ang, M.H. MECHANICAL ENGINEERING dynamic environment semantic Simultaneous localization and mapping visual-inertial system 10.1109/ACCESS.2020.3018557 IEEE Access 8 155047-155059 2021-08-17T08:46:57Z 2021-08-17T08:46:57Z 2020 Article Zhao, X., Wang, C., Ang, M.H. (2020). Real-Time Visual-Inertial Localization Using Semantic Segmentation towards Dynamic Environments. IEEE Access 8 : 155047-155059. ScholarBank@NUS Repository. https://doi.org/10.1109/ACCESS.2020.3018557 21693536 https://scholarbank.nus.edu.sg/handle/10635/197350 Institute of Electrical and Electronics Engineers Inc. Scopus OA2020
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic dynamic environment
semantic
Simultaneous localization and mapping
visual-inertial system
spellingShingle dynamic environment
semantic
Simultaneous localization and mapping
visual-inertial system
Zhao, X.
Wang, C.
Ang, M.H.
Real-Time Visual-Inertial Localization Using Semantic Segmentation towards Dynamic Environments
description 10.1109/ACCESS.2020.3018557
author2 MECHANICAL ENGINEERING
author_facet MECHANICAL ENGINEERING
Zhao, X.
Wang, C.
Ang, M.H.
format Article
author Zhao, X.
Wang, C.
Ang, M.H.
author_sort Zhao, X.
title Real-Time Visual-Inertial Localization Using Semantic Segmentation towards Dynamic Environments
title_short Real-Time Visual-Inertial Localization Using Semantic Segmentation towards Dynamic Environments
title_full Real-Time Visual-Inertial Localization Using Semantic Segmentation towards Dynamic Environments
title_fullStr Real-Time Visual-Inertial Localization Using Semantic Segmentation towards Dynamic Environments
title_full_unstemmed Real-Time Visual-Inertial Localization Using Semantic Segmentation towards Dynamic Environments
title_sort real-time visual-inertial localization using semantic segmentation towards dynamic environments
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2021
url https://scholarbank.nus.edu.sg/handle/10635/197350
_version_ 1800914903147479040