60 citations · 234 across the 23 of their papers we have counts for
8 papers · 1 filter
The Right (Angled) Perspective: Improving the Understanding of Road Scenes Using Boosted Inverse Perspective Mapping
Tom Bruls, Horia Porav, Lars Kunze +1
Many tasks performed by autonomous vehicles such as road marking detection, object tracking, and path planning are simpler in bird's-eye view. Hence, Inverse Perspective Mapping (I…
Probably Unknown: Deep Inverse Sensor Modelling In Radar
Rob Weston, Sarah Cen, Paul Newman +1
Radar presents a promising alternative to lidar and vision in autonomous vehicle applications, able to detect objects at long range under a variety of weather conditions. However,…
Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes
Letizia Marchegiani, Paul Newman
This paper is about alerting acoustic event detection and sound source localisation in an urban scenario. Specifically, we are interested in spotting the presence of horns, and sir…
Multimotion Visual Odometry (MVO): Simultaneous Estimation of Camera and Third-Party Motions
Kevin M. Judd, Jonathan D. Gammell, Paul Newman
Estimating motion from images is a well-studied problem in computer vision and robotics. Previous work has developed techniques to estimate the motion of a moving camera in a large…
Adversarial Training for Adverse Conditions: Robust Metric Localisation using Appearance Transfer
Horia Porav, Will Maddern, Paul Newman
We present a method of improving visual place recognition and metric localisation under very strong appear- ance change. We learn an invertable generator that can trans- form the c…
Surface Edge Explorer (SEE): Planning Next Best Views Directly from 3D Observations
Rowan Border, Jonathan D. Gammell, Paul Newman
Surveying 3D scenes is a common task in robotics. Systems can do so autonomously by iteratively obtaining measurements. This process of planning observations to improve the model o…
Meshed Up: Learnt Error Correction in 3D Reconstructions
Michael Tanner, Stefan Saftescu, Alex Bewley +1
Dense reconstructions often contain errors that prior work has so far minimised using high quality sensors and regularising the output. Nevertheless, errors still persist. This pap…
The Data Market: Policies for Decentralised Visual Localisation
Matthew Gadd, Paul Newman
This paper presents a mercantile framework for the decentralised sharing of navigation expertise amongst a fleet of robots which perform regular missions into a common but variable…