We are not condemned to a future of congestion, accidents and time wasting. We will eventually have cars that can drive themselves, interacting safely with other road users and using roads efficiently, thus freeing up our precious time. But to do this the machines need life-long infrastructure-free navigation, and that, alongside autonomous perception, is a real focus of our work.

Alastair and Robotcar


RobotCar is a modified Nissan LEAF. Lasers and cameras are subtly mounted around the vehicle and taking up some of ...
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Robotcar and laser

How RobotCar works

Our approach We use the mathematics of probability and estimation to allow computers in robots to interpret data from sensors ...
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MRG Reading Group

Meet the Robotcar team

The Robotcar flagship team is led by Will Maddern and consists of postdoctoral researchers, D.Phil students, support engineers and industrial ...
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FARLAP: Fast Robust Localisation using Appearance Priors

This paper is concerned with large-scale localisation at city scales with monocular cameras. Our primary motivation lies with the development ...
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Leveraging Experience for Long-Term LIDAR Localisation In Changing Cities

 Successful approaches to autonomous vehicle localisation and navigation typically involve 3D LIDAR scanners and a static, curated 3D map, both ...
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