976 citations · 1.5k across the 5 of their papers we have counts for
5 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…
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…
Long-Term Online Multi-Session Graph-Based SPLAM with Memory Management
Mathieu Labbé, François Michaud
For long-term simultaneous planning, localization and mapping (SPLAM), a robot should be able to continuously update its map according to the dynamic changes of the environment and…
Cheap or Robust? The Practical Realization of Self-Driving Wheelchair Technology
Maya Burhanpurkar, Mathieu Labbé, Xinyi Gong +3
To date, self-driving experimental wheelchair technologies have been either inexpensive or robust, but not both. Yet, in order to achieve real-world acceptance, both qualities are…