2.9k citations · 4.2k across the 10 of their papers we have counts for
3 papers · 1 filter
Learning to Drive from Simulation without Real World Labels
Alex Bewley, Jessica Rigley, Yuxuan Liu +4
Simulation can be a powerful tool for understanding machine learning systems and designing methods to solve real-world problems. Training and evaluating methods purely in simulatio…
Orthographic Feature Transform for Monocular 3D Object Detection
Thomas Roddick, Alex Kendall, Roberto Cipolla
3D object detection from monocular images has proven to be an enormously challenging task, with the performance of leading systems not yet achieving even 10\% of that of LiDAR-base…
Learning to Drive in a Day
Alex Kendall, Jeffrey Hawke, David Janz +6
We demonstrate the first application of deep reinforcement learning to autonomous driving. From randomly initialised parameters, our model is able to learn a policy for lane follow…