11 citations · 32 across the 23 of their papers we have counts for
4 papers · 2 filters
Improving Robot Localisation by Ignoring Visual Distraction
Oscar Mendez, Matthew Vowels, Richard Bowden
Attention is an important component of modern deep learning. However, less emphasis has been put on its inverse: ignoring distraction. Our daily lives require us to explicitly avoi…
Robot in a China Shop: Using Reinforcement Learning for Location-Specific Navigation Behaviour
Xihan Bian, Oscar Mendez, Simon Hadfield
Robots need to be able to work in multiple different environments. Even when performing similar tasks, different behaviour should be deployed to best fit the current environment. I…
Markov Localisation using Heatmap Regression and Deep Convolutional Odometry
Oscar Mendez, Simon Hadfield, Richard Bowden
In the context of self-driving vehicles there is strong competition between approaches based on visual localisation and LiDAR. While LiDAR provides important depth information, it…
A Robust Extrinsic Calibration Framework for Vehicles with Unscaled Sensors
Celyn Walters, Oscar Mendez, Simon Hadfield +1
Accurate extrinsic sensor calibration is essential for both autonomous vehicles and robots. Traditionally this is an involved process requiring calibration targets, known fiducial…