A Review on Map-Merging Methods for Typical Map Types in Multiple-Ground-Robot SLAM Solutions
When multiple robots are involved in the process of simultaneous localization and mapping (SLAM), a global map should be constructed by merging the local maps built by individual robots, so as to provide a better representation of the environment. Hence, the map-merging methods play a crucial rule i...
Main Authors: | Shuien Yu, Chunyun Fu, Amirali K. Gostar, Minghui Hu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-12-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/23/6988 |
Similar Items
-
Feature-Based Occupancy Map-Merging for Collaborative SLAM
by: Sooraj Sunil, et al.
Published: (2023-03-01) -
Tomographic Feature-Based Map Merging for Multi-Robot Systems
by: Heoncheol Lee
Published: (2020-01-01) -
Image Preprocessing with Enhanced Feature Matching for Map Merging in the Presence of Sensing Error
by: Yu-Lin Chen, et al.
Published: (2023-08-01) -
Multi-Robot SLAM Using Fast LiDAR Odometry and Mapping
by: Basma Ahmed Jalil, et al.
Published: (2023-09-01) -
Heterogeneous Map Merging: State of the Art
by: Ilze Andersone
Published: (2019-08-01)