Orthographic Feature Transform for Monocular 3D Object Detection. BMVC (Oral, Best Paper Honourable Mention), 2019 . Thomas Roddick, Alex Kendall, Roberto Cipolla ..read more

Learning to Drive from Simulation without Real World Labels. . Alex Bewley, Jessica Rigley, Yuxuan Liu, Jeffrey Hawke, Richard Shen, Vinh-Dieu Lam, Alex Kendall ..read more

Probabilistic Future Prediction for Video Scene Understanding. . Anthony Hu, Fergal Cotter, Nikhil Mohan, Corina Gurau, Alex Kendall ..read more

Urban Driving with Conditional Imitation Learning. . Jeffrey Hawke, Richard Shen, Corina Gurau, Siddharth Sharma, Daniele Reda, Nikolay Nikolov, Przemyslaw Mazur, Sean Micklethwaite, Nicolas Griffiths, Amar Shah, Alex Kendall ..read more

FIERY: Future Instance Prediction in Bird’s-Eye View from Surround Monocular Cameras. . Anthony Hu, Zak Murez, Nikhil Mohan, Sofía Dudas, Jeffrey Hawke, Vijay Badrinarayanan, Roberto Cipolla, Alex Kendall ..read more

Geometry and Uncertainty in Deep Learning for Computer Vision. PhD Thesis, University of Cambridge, 2017 ..read more

Model-based imitation learning for urban driving. . Anthony Hu, Gianluca Corrado, Nicolas Griffiths, Zak Murez, Corina Gurau, Hudson Yeo, Alex Kendall, Roberto Cipolla, Jamie Shotton ..read more

GAIA-1: A generative world model for autonomous driving. . Anthony Hu, Lloyd Russell, Hudson Yeo, Zak Murez, George Fedoseev, Alex Kendall, Jamie Shotton, Gianluca Corrado ..read more

LingoQA: Video question answering for autonomous driving. . Ana-Maria Marcu, Long Chen, Jan Hünermann, Alice Karnsund, Benoit Hanotte, Prajwal Chidananda, Saurabh Nair, Vijay Badrinarayanan, Alex Kendall, Jamie Shotton, Elahe Arani, Oleg Sinavski ..read more

The purpose of this post is to encourage more people to work on machine learning algorithms for real-world robots. End-to-end deep learning has become ubiquitous with most of today’s challenging artificial intelligence problems, such as image recognition, natural language processing, protein folding prediction and game playing agents. In fact, you would probably be laughed at for not using deep learning for these problems. But the same is not yet true for mobile robotics. Why? Deep learning has the potential to completely revolutionise mobile robotics. It understands vast quantities of data ..read more