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The Oxford RobotCar - Driving Driverless Car Research

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Conference
  • Session
  • Thursday, 29 August 2013
  • 00:29 - 00:29
  • Duration: 1 hr 12 mins
  • Publication date: 29 Aug 2013
  • Location: IETTV_Room, IETTV_Venue, Oxford, United Kingdom
  • Part of event 14th Annual 'Towards Autonomous Robotics Systems' Conference (TAROS 2013)

About the session

Every year, cars get better: they get smarter, cleaner and 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, the speaker describes some of the work that the Oxford Mobile Robotics Group have been doing in driving this innovation thread. In particular, he describes their approach 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 pllaces the technology within the context of smarter transport, describes the systems engineering which supports it on the Nissan Leaf, and makes explicit linkage to other sectors which stand to benefit from modern robotics science.

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Speaker

  • PN

    Prof. Paul Newman

    University of Oxford, Department of Engineering Science, Mobile Robotics Group, BP Professor of Information Engineering

    BP Professor of Information Engineering, University of OxfordProfessor 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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