A 3D Reconstruction Method Using Multisensor Fusion in Large-Scale Indoor Scenes
RGBD camera-based VSLAM (Visual Simultaneous Localization and Mapping) algorithm is usually applied to assist robots with real-time mapping. However, due to the limited measuring principle, accuracy, and distance of the equipped camera, this algorithm has typical disadvantages in the large and dynam...
Saved in:
Main Authors: | Panlong Gu, Fengyu Zhou, Dianguo Yu, Fang Wan, Wei Wang, Bangguo Yu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2020/6973790 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Retracted: A 3D Reconstruction Method Using Multisensor Fusion in Large-Scale Indoor Scenes
by: null Complexity
Published: (2024-01-01) -
C3DGS: Compressing 3D Gaussian Model for Surface Reconstruction of Large-Scale Scenes Based on Multiview UAV Images
by: Jiating Qian, et al.
Published: (2025-01-01) -
Fast Pedestrian Recognition Based on Multisensor Fusion
by: Hongyu Hu, et al.
Published: (2012-01-01) -
Performance Evaluation and Optimization of 3D Gaussian Splatting in Indoor Scene Generation and Rendering
by: Xinjian Fang, et al.
Published: (2025-01-01) -
Incremental Instance-Oriented 3D Semantic Mapping via RGB-D Cameras for Unknown Indoor Scene
by: Wei Li, et al.
Published: (2020-01-01)