202 citations · 375 across the 11 of their papers we have counts for
11 papers
Filter Early, Match Late: Improving Network-Based Visual Place Recognition
Stephen Hausler, Adam Jacobson, Michael Milford
CNNs have excelled at performing place recognition over time, particularly when the neural network is optimized for localization in the current environmental conditions. In this pa…
Multi-Process Fusion: Visual Place Recognition Using Multiple Image Processing Methods
Stephen Hausler, Adam Jacobson, Michael Milford
Typical attempts to improve the capability of visual place recognition techniques include the use of multi-sensor fusion and integration of information over time from image sequenc…
LookUP: Vision-Only Real-Time Precise Underground Localisation for Autonomous Mining Vehicles
Fan Zeng, Adam Jacobson, David Smith +3
A key capability for autonomous underground mining vehicles is real-time accurate localisation. While significant progress has been made, currently deployed systems have several li…
Feature Map Filtering: Improving Visual Place Recognition with Convolutional Calibration
Stephen Hausler, Adam Jacobson, Michael Milford
Convolutional Neural Networks (CNNs) have recently been shown to excel at performing visual place recognition under changing appearance and viewpoint. Previously, place recognition…
Enabling a Pepper Robot to provide Automated and Interactive Tours of a Robotics Laboratory
Gavin Suddrey, Adam Jacobson, Belinda Ward
The Pepper robot has become a widely recognised face for the perceived potential of social robots to enter our homes and businesses. However, to date, commercial and research appli…
Rhythmic Representations: Learning Periodic Patterns for Scalable Place Recognition at a Sub-Linear Storage Cost
Litao Yu, Adam Jacobson, Michael Milford
Robotic and animal mapping systems share many challenges and characteristics: they must function in a wide variety of environmental conditions, enable the robot or animal to naviga…