Appearance-only SLAM at large scale with FAB-MAP 2.0
University of Oxford · Robotics Research (United States)
Abstract
We describe a new formulation of appearance-only SLAM suitable for very large scale place recognition. The system navigates in the space of appearance, assigning each new observation to either a new or a previously visited location, without reference to metric position. The system is demonstrated performing reliable online appearance mapping and loop-closure detection over a 1000 km trajectory, with mean filter update times of 14 ms. The scalability of the system is achieved by defining a sparse approximation to the FAB-MAP model suitable for implementation using an inverted index. Our formulation of the problem is fully probabilistic and naturally incorporates robustness against perceptual aliasing. We also…
Citation impact
- FWCI
- 533.34
- Percentile
- 100%
- References
- 50
Authors
2Topics & keywords
- Computer science
- Robustness (evolution)
- Artificial intelligence
- Simultaneous localization and mapping
- Computer vision
- Scalability
- Probabilistic logic
- Pattern recognition (psychology)