Visual Place Recognition: A Survey
Queensland University of Technology · Australian Centre for Robotic Vision · +2 more institutions
Abstract
Visual place recognition is a challenging problem due to the vast range of ways in which the appearance of real-world places can vary. In recent years, improvements in visual sensing capabilities, an ever-increasing focus on long-term mobile robot autonomy, and the ability to draw on state-of-the-art research in other disciplines-particularly recognition in computer vision and animal navigation in neuroscience-have all contributed to significant advances in visual place recognition systems. This paper presents a survey of the visual place recognition research landscape. We start by introducing the concepts behind place recognition-the role of place recognition in the animal kingdom, how a “place” is defined in…
Citation impact
- FWCI
- 1309.15
- Percentile
- 100%
- References
- 256
Authors
7Topics & keywords
- Cognitive neuroscience of visual object recognition
- Computer science
- Artificial intelligence
- Human–computer interaction
- Context (archaeology)
- Robotics
- Autonomy
- Robot