976 citations · 1.8k across the 4 of their papers we have counts for
4 papers
Memory Management for Real-Time Appearance-Based Loop Closure Detection
Mathieu Labbé, François Michaud
Loop closure detection is the process involved when trying to find a match between the current and a previously visited locations in SLAM. Over time, the amount of time required to…
Online Global Loop Closure Detection for Large-Scale Multi-Session Graph-Based SLAM
Mathieu Labbe, François Michaud
For large-scale and long-term simultaneous localization and mapping (SLAM), a robot has to deal with unknown initial positioning caused by either the kidnapped robot problem or mul…
Appearance-Based Loop Closure Detection for Online Large-Scale and Long-Term Operation
Mathieu Labbé, François Michaud
In appearance-based localization and mapping, loop closure detection is the process used to determinate if the current observation comes from a previously visited location or a new…
RTAB-Map as an Open-Source Lidar and Visual SLAM Library for Large-Scale and Long-Term Online Operation
Mathieu Labbé, François Michaud
Distributed as an open source library since 2013, RTAB-Map started as an appearance-based loop closure detection approach with memory management to deal with large-scale and long-t…