6 citations · 6 across the 4 of their papers we have counts for
4 papers
AARK: An Open Toolkit for Autonomous Racing Research
James Bockman, Matthew Howe, Adrian Orenstein +1
Autonomous racing demands safe control of vehicles at their physical limits for extended periods of time, providing insights into advanced vehicle safety systems which increasingly…
Effective Utilisation of Multiple Open-Source Datasets to Improve Generalisation Performance of Point Cloud Segmentation Models
Matthew Howe, Boris Repasky, Timothy Payne
Semantic segmentation of aerial point cloud data can be utilised to differentiate which points belong to classes such as ground, buildings, or vegetation. Point clouds generated fr…
The Edge of Disaster: A Battle Between Autonomous Racing and Safety
Matthew Howe, James Bockman, Adrian Orenstein +3
Autonomous racing represents a uniquely challenging control environment where agents must act while on the limits of a vehicle's capability in order to set competitive lap times. T…
Weakly Supervised Training of Monocular 3D Object Detectors Using Wide Baseline Multi-view Traffic Camera Data
Matthew Howe, Ian Reid, Jamie Mackenzie
Accurate 7DoF prediction of vehicles at an intersection is an important task for assessing potential conflicts between road users. In principle, this could be achieved by a single…