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The Oxford RobotCar - Driving Driverless Car Research

Professor Paul Newman

From: TAROS 2013, 29th August 2013, Oxford

29 August 2013  Transport channel

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About the presentation

The 14th Annual Towards Autonomous Robotics Systems Conference (TAROS 2013) is the UK's premiere annual conference for autonomous robotics and is taking place between 28 and 30 August 2013 in Oxford. The conference encompasses topics across the entire range of robotics research.

As part of the conference programme, the IET Robotics and Mechatronics Network held an evening lecture on the Oxford RobotCar.

Every year cars get better. They get smarter, cleaner, safer and autonomy is just another axis in this space. One day (soon) they will drive us - the opposite is much harder to believe. In this talk, Professor Paul Newman describes some of the work the Oxford Mobile Robotics Group have been doing in driving this innovation thread. In particular, their approaches to infrastructure-free navigation - the family of techniques which let the car understand where it is without relying on GPS or inertial navigation systems. He'll put the technology in context of smarter transport, describe the systems engineering which supports it on the Nissan Leaf and make explicit linkage to other sectors which stand to benefit from modern robotics science.

About the speaker

BP Professor of Information Engineering, University of Oxford

Professor Newman obtained an M.Eng. in Engineering Science from Oxford University in 1995. After completing his Ph.D. in autonomous navigation from the Australian Center for Field Robotics, University of Sydney, Australia, he returned to the UK to work in the commercial sub-sea navigation industry. In late 2000, he joined the Dept of Ocean Engineering at M.I.T. where he worked on algorithms and software for robust autonomous navigation for both land and sub-sea agents. In early 2003, he returned to Oxford and now he heads the University of Oxford's Mobile Robotics Group (MRG) and has research interests in pretty much anything to do with autonomous navigation but particularly Simultaneous Localisation and Mapping.

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