TRL launches VR blind spot detector

UK-based research establishment TRL has launched a blind spot simulator rig which uses virtual reality to improve truck cab design, road layouts and improve the safety of road users and reduce costs for designers. The precision of the system is based on a physical rig developed by TRL and Volvo. It ensures an accurate representation of direct vision from a real-life Volvo vehicle cab which allows seat, steering and wheel adjustments to be replicated for each driver.
October 6, 2017 Read time: 2 mins

UK-based research establishment 491 TRL has launched a blind spot simulator rig which uses virtual reality to improve truck cab design, road layouts and improve the safety of road users and reduce costs for designers.

The precision of the system is based on a physical rig developed by TRL and 609 Volvo. It ensures an accurate representation of direct vision from a real-life Volvo vehicle cab which allows seat, steering and wheel adjustments to be replicated for each driver. The VR experience is then reconfigured to reflect their physical dimensions and individual seat positions - which results in an accurate replication of driving a real vehicle.

Ceki Erginbas, senior researcher at TRL, said: "With this calibrated system, we can accurately test new vehicles or road environment designs, without the need to physically build them. We can also accurately recreate traffic accidents, from the viewpoint of different people located at the scene.  

Urban Traffic Control

Related Content

  • Artificial Intelligence applications for commercial vehicle operations
    December 28, 2021
    The combination of machine learning, deep neural networks and computer vision provides opportunities to address in new ways an increasing range of functions that are a part of commercial vehicle operations. Here, IRD’s Rish Malhotra details how.
    Read More
  • Sensor solutions cuts maintenance and emissions
    December 8, 2014
    The new raft of sensor technology can provide cost savings as well as additional functionality, as David Crawford discovers. Austria’s third-largest city, Linz, with a population of around 200,000, is recording substantial savings in its urban tram network within 18 months of introducing a new, high-technology approach to its public transport management. Tram, bus and trolleybus operator Linz Linien forms part of city utilities management company Linz AG, which has been carrying out a wide-ranging Smart Cit
    Read More
  • Allied Vision and TORC Robotics help blind driver ‘see’
    May 22, 2015
    TORC Robotics has partnered with the Robotics and Mechanisms Laboratory (RoMeLa) at the Virginia Polytechnic Institute and State University (Virginia Tech) with the aim of developing vehicles for the next generation of National Federation of the Blind (NFB) Blind Driver Challenge vehicles. The NFB developed the Blind Driver Challenge which calls upon developers and innovators to create interface technologies to allow those who are blind to drive a car independently. Held at the Daytona Speedway as a pre
    Read More
  • Bronx benefits from mesoscopic-microscopic modelling
    January 7, 2014
    Michael Marsico, Andrew Weeks, Keir Opie and Murat Ayçin explain the application of hybrid traffic simulation to a planning study in New York City. Traffic modelling, particularly mesoscopic-microscopic hybrid simulation, has played a key role in planning for the future of one of America's shortest interstates, the 1.3-mile Sheridan Expressway. New York City has just completed a two-year, interagency study federally funded by a TIGER II grant on how to improve the Sheridan Expressway and its surroundi
    Read More

Highlighted Content