RTAB-Map 0.3

Loop closure detection is the process involved when trying to find a match between the current and a previously visited locations in SLAM (Simultaneous Localization And Mapping). Over time, the amount of time required to process new observations increases with the size of the internal map, which may affect real-time processing. RTAB-Map is a novel real-time loop closure detection approach for large-scale and long-term SLAM. Our approach is based on efficient memory management to keep computation time for each new observation under a fixed time limit, thus respecting real-time limit for long-term operation. Results demonstrate the approach's adaptability and scalability using two custom data sets and five standard data sets

Requirements:	No special requirements
Platforms:	Mac, Mac OSX
Keyword:	Approach,  Based,  Computation,  Efficient,  Largescale,  Longterm,  Management,  Memory,  Observation
Users rating:	0/10