Skip to main content

Researchers test cost-effective vehicle automation

Researchers at Oxford University in the UK are testing a combination of off-the-shelf technology which could enable a car to drive itself for sections of a familiar route. Dr Ingmar Posner of the University’s mobile robotics group is part of a team working on the car which he believes could affordably reach the showrooms in ten or fifteen years.
April 17, 2013 Read time: 2 mins
Researchers at 7333 University of Oxford in the UK are testing a combination of off-the-shelf technology which could enable a car to drive itself for sections of a familiar route.

Dr Ingmar Posner of the University’s mobile robotics group is part of a team working on the 7334 RobotCar which he believes could affordably reach the showrooms in ten or fifteen years.

The car is fitted with two stereo cameras and two 3D scanning lasers under the front and rear bumpers to ‘learn’ about the route and constantly monitors the immediate area in order to make driving decisions. GPS is not used, as such systems could not provide the coverage, precision and reliability autonomous cars need to safely navigate and, crucially, GPS fails to tell a robotic car anything about its surroundings.

The technology is controlled by prompts on an iPad mounted on the dashboard giving the driver the option of the car taking over for a portion of a familiar route. Touching the screen when prompted selects 'auto drive' and any time the driver can tap the brake pedal to regain control.

Professor Paul Newman from the University Department of Engineering Science said instead of imagining cars driving themselves all of the time, we should imagine cars that can drive themselves some of the time. “The sort of very low cost, low footprint autonomy we are developing is what’s needed for everyday use,” he said.

At the moment it is estimated that the prototype navigation system costs around £5,000. 'Long-term, our goal is to produce a system costing around £100,' says Professor Newman.

The next stage of the research is to enable the new robotic system to understand complex traffic flows and make decisions on its own about which routes to take.

In the US, 5593 Virginia Tech has adapted a vehicle with signals and scanners which give clues to the driver about which way to turn the steering wheel or when to brake.

For more information on companies in this article

Related Content

  • Adaptive cruise control would suppress traffic instability
    March 20, 2014
    Professor Berthold Horn of Massachusetts Institute of Technology believes a modified adaptive cruise control could mitigate phantom traffic jamsthat occur for no apparent reason. The phenomenon of the phantom traffic jam is all too common: they appear for no apparent reason and, having caused frustrating delays for all travelers, evaporate for an equally mystical reason. Phantom traffic jams usually occur on busy highways and often take the form of repeatedly stopping and then accelerating up to near the
  • Ford, MIT project measures pedestrian traffic, predict demand for electric shuttles
    July 28, 2016
    Ford Motor Company and the Massachusetts Institute of Technology are collaborating on a new research project that measures how pedestrians move in urban areas to improve certain public transportation services, such as ride-hailing and point-to-point shuttles services. The project will introduce a fleet of on-demand electric vehicle shuttles that operate on both city roads and campus walkways on the university’s campus. The vehicles use LiDAR sensors and cameras to measure pedestrian flow, which ultimate
  • NSW university launches high-tech safety study
    April 16, 2013
    Road experts led by Australia’s University of New South Wales (NSW) professor Mike Regan are to conduct what is said to be the most thorough traffic safety study in Australian history. Cameras inside and outside cars will film 400 volunteers in Victoria and New South Wales in an effort to analyse the cause of crashes and change driver education and road safety campaigns. The cameras will record how drivers behaved and reacted in ''real world'' situations. John Wall, manager of road safety technology with N
  • Subtle differences
    February 27, 2012
    Too often, when I sit down to write one of these forewords, I worry that things are becoming a little circular.