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.
https://www.youtube.com/watch?v=INHAKsQ9NfA RobotCar is a modified Nissan LEAF. Lasers and cameras are subtly mounted around the vehicle and taking up some of the boot space is a computer which performs all the [...]
Our approach We use the mathematics of probability and estimation to allow computers in robots to interpret data from sensors like cameras, radars and lasers, aerial photos and on-the-fly internet queries. We use machine [...]
The Robotcar flagship team is led by Will Maddern and consists of postdoctoral researchers, D.Phil students, support engineers and industrial partners.
Downloads are now live for the Oxford RobotCar Dataset! Check out the website, read our IJRR paper and sign up for an account to start downloading some of the 20+TB of data collected from our autonomous RobotCar vehicle [...]