• Publications
  • Influence
SeqSLAM: Visual route-based navigation for sunny summer days and stormy winter nights
Learning and then recognizing a route, whether travelled during the day or at night, in clear or inclement weather, and in summer or winter is a challenging task for state of the art algorithms inExpand
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On the performance of ConvNet features for place recognition
After the incredible success of deep learning in the computer vision domain, there has been much interest in applying Convolutional Network (ConvNet) features in robotic fields such as visualExpand
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Place Recognition with ConvNet Landmarks: Viewpoint-Robust, Condition-Robust, Training-Free
Place recognition has long been an incompletely solved problem in that all approaches involve significant compromises. Current methods address many but never all of the critical challenges of placeExpand
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Visual Place Recognition: A Survey
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, anExpand
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Mapping a Suburb With a Single Camera Using a Biologically Inspired SLAM System
This paper describes a biologically inspired approach to vision-only simultaneous localization and mapping (SLAM) on ground-based platforms. The core SLAM system, dubbed RatSLAM, is based onExpand
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RatSLAM: a hippocampal model for simultaneous localization and mapping
The work presents a new approach to the problem of simultaneous localization and mapping - SLAM - inspired by computational models of the hippocampus of rodents. The rodent hippocampus has beenExpand
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Persistent Navigation and Mapping using a Biologically Inspired SLAM System
The challenge of persistent navigation and mapping is to develop an autonomous robot system that can simultaneously localize, map and navigate over the lifetime of the robot with little or no humanExpand
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Deep learning features at scale for visual place recognition
The success of deep learning techniques in the computer vision domain has triggered a range of initial investigations into their utility for visual place recognition, all using generic features fromExpand
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OpenFABMAP: An open source toolbox for appearance-based loop closure detection
Appearance-based loop closure techniques, which leverage the high information content of visual images and can be used independently of pose, are now widely used in robotic applications. The currentExpand
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OpenRatSLAM: an open source brain-based SLAM system
RatSLAM is a navigation system based on the neural processes underlying navigation in the rodent brain, capable of operating with low resolution monocular image data. Seminal experiments usingExpand
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