Skip to main content

Oxford University developing autonomous vehicle

Researchers at Oxford University in the UK have developed an autonomous vehicle based on a 'Wildcat' vehicle built by BAE Systems. Supported by the Engineering and Physical Sciences Research Council (EPSRC), and in collaboration with BAE Systems and Nissan, Professor Paul Newman of Oxford University's Department of Engineering Science, is leading the US$2.2 million research project."Our long-term aim is to enable a new generation of robotic vehicles that can make the roads safer, less congested, cleaner, an
May 4, 2012 Read time: 1 min
Researchers at Oxford University in the UK have developed an autonomous vehicle based on a ‘Wildcat’ vehicle built by 3948 BAE Systems. Supported by the Engineering and Physical Sciences Research Council (EPSRC), and in collaboration with BAE Systems and 2454 Nissan, Professor Paul Newman of Oxford University’s Department of Engineering Science, is leading the US$2.2 million research project.

“Our long-term aim is to enable a new generation of robotic vehicles that can make the roads safer, less congested, cleaner, and personal transport more accessible,” he said. “The good news is we are not doomed to a future of traffic congestion and accidents. In the future autonomous robotic vehicles, using systems similar to those we are developing, will get us safely and efficiently from A to B whilst taking the load off their human drivers,’ Professor Newman said.

For more information on companies in this article

Related Content

  • Einride hits the road in the US
    July 1, 2022
    Autonomous electric vehicles can now operate on public roads in mixed traffic, says NHTSA
  • UK moves to disclose road data to app makers
    February 17, 2020
    The UK is proposing to share road network data, including roadworks, with makers of mobile apps to warn drivers of potential congestion months in advance.
  • Current technologies could eliminate 90 per cent of traffic accidents
    April 27, 2012
    Nearly every traffic accident caused by driver error – up to 90 per cent of all crashes – could be eliminated if existing intelligent transportation technologies were implemented in vehicles and on roads, say experts at IEEE, the world's largest technical professional association. These include electronics and computing technologies such as in-vehicle machine vision and sensors to detect drowsy drivers, lane departure warning systems, and vehicle-to-vehicle and vehicle-to-infrastructure communications for s
  • WiM eases bridge health worries
    July 31, 2024
    Ageing road bridges are leading road authorities to consider the case for using weigh-in-motion - WiM - solutions to monitor the health of such infrastructure, writes Adam Hill.