103 citations · 740 across the 67 of their papers we have counts for
9 papers · 2 filters
A Holistic Visual Place Recognition Approach using Lightweight CNNs for Significant ViewPoint and Appearance Changes
Ahmad Khaliq, Shoaib Ehsan, Zetao Chen +2
This paper presents a lightweight visual place recognition approach, capable of achieving high performance with low computational cost, and feasible for mobile robotics under signi…
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…
An Orientation Factor for Object-Oriented SLAM
Natalie Jablonsky, Michael Milford, Niko Sünderhauf
Current approaches to object-oriented SLAM lack the ability to incorporate prior knowledge of the scene geometry, such as the expected global orientation of objects. We overcome th…
Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal
Jake Bruce, Niko Sünderhauf, Piotr Mirowski +2
Model-free reinforcement learning has recently been shown to be effective at learning navigation policies from complex image input. However, these algorithms tend to require large…
LoST? Appearance-Invariant Place Recognition for Opposite Viewpoints using Visual Semantics
Sourav Garg, Niko Suenderhauf, Michael Milford
Human visual scene understanding is so remarkable that we are able to recognize a revisited place when entering it from the opposite direction it was first visited, even in the pre…
The Limits and Potentials of Deep Learning for Robotics
Niko Sünderhauf, Oliver Brock, Walter Scheirer +8
The application of deep learning in robotics leads to very specific problems and research questions that are typically not addressed by the computer vision and machine learning com…