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SUMMARY:Intelligent Self-Driving Vehicles - Paul Newman\, BP Professor of 
 Information Engineering\, University of Oxford
DTSTART:20180223T120000Z
DTEND:20180223T130000Z
UID:TALK96883@talks.cam.ac.uk
CONTACT:Fumiya Iida
DESCRIPTION:In this talk I pull apart some of the competencies needed to b
 uild “intelligent” self driving vehicles. This talk will discuss the a
 rchitecture\, operation and performance of the “Selenium" Autonomy Syste
 m which\, amongst others\, is at the heart of the Oxford Robot Car the LUT
 Z Pathfinder project\, and the Greenwich Gateway project. We will explain 
 the heart of the system and explain how laser and image processing and mac
 hine learning techniques have been mixed to create the information enginee
 ring software which senses\, plans and controls on the behalf of the auton
 omous vehicles. The talk will consider challenges and solutions arising fr
 om time varying environments\, weather types\, dynamic obstacles touching 
 on calibration\, data management\, mapping\, localisation planning and per
 ception.\n\nBio:\nPaul Newman is the BP Professor of Information Engineeri
 ng at the University of Oxford and an EPSRC Leadership Fellow. He heads th
 e Oxford Robotics Institute (ori.ox.ac.uk) within the Department of Engine
 ering Science which enjoys a world leading reputation in mobile autonomy -
  developing machines\, robots and cars which map\, navigate through and un
 derstand their environments. Paul’s focus lies on pushing the boundaries
  of navigation and autonomy techniques in terms of both endurance and scal
 e. The Oxford Robotics Institute has developed a keen focus on intelligent
  transport for example the RobotCar www.robotcar.org.uk and enjoys collabo
 rations with many industrial partners which provide exploitation opportuni
 ties to drive the research.  In 2014 he founded Oxbotica - a spinout compa
 ny focussed on Robotics and Autonomous Systems   - and was elected fellow 
 of the Royal Academy of Engineering with a citation for outstanding contri
 butions to robot navigation.\n
LOCATION:Department of Engineering - LT2
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