Quantitative analysis of different SLAM algorithms for geo-monitoring in an underground test field
Abstract Geo-monitoring provides quantitative and reliable information to identify hazards and adopt appropriate measures timely. However, this task inherently exposes monitoring staff to hazardous environments, especially in underground settings. Since 2000s, robots have been widely applied in vari...
Saved in:
Main Authors: | Jing Li, Jörg Benndorf, Paweł Trybała |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2025-02-01
|
Series: | International Journal of Coal Science & Technology |
Subjects: | |
Online Access: | https://doi.org/10.1007/s40789-025-00745-w |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Parallelized SLAM: Enhancing Mapping and Localization Through Concurrent Processing
by: Francisco J. Romero-Ramirez, et al.
Published: (2025-01-01) -
AI-based approaches for improving autonomous mobile robot localization in indoor environments: A comprehensive review
by: Shoude Wang, et al.
Published: (2025-03-01) -
The EDI Multi-Modal Simultaneous Localization and Mapping Dataset (EDI-SLAM)
by: Peteris Racinskis, et al.
Published: (2025-01-01) -
A guided approach for cross-view geolocalization estimation with land cover semantic segmentation
by: Nathan A.Z. Xavier, et al.
Published: (2025-06-01) -
Transitional Grid Maps: Joint Modeling of Static and Dynamic Occupancy
by: Jose Manuel Gaspar Sanchez, et al.
Published: (2025-01-01)