Skip to main content

GENIVI Alliance launches new open source vehicle simulator project

The GENIVI Alliance, a non-profit alliance focused on developing an open in-vehicle infotainment (IVI) and connectivity software platform for the transportation industry, has launched the GENIVI Vehicle Simulator (GVS) open source project to test a new user interface for the GENIVI development platform (GDP) under simulated driver conditions. Both developer and end-user code is available immediately. The GVS project and initial source code, developed by Elements Design Group, San Francisco and the Jaguar
September 26, 2016 Read time: 2 mins
The 6802 GENIVI Alliance, a non-profit alliance focused on developing an open in-vehicle infotainment (IVI) and connectivity software platform for the transportation industry, has launched the GENIVI Vehicle Simulator (GVS) open source project to test a new user interface for the GENIVI development platform (GDP) under simulated driver conditions. Both developer and end-user code is available immediately.

The GVS project and initial source code, developed by Elements Design Group, San Francisco and the Jaguar Land Rover Open Software Technology Center in Portland, Oregon, provide an open source, extensible driving simulator that assists adopters to safely develop and test the user interface of an IVI system under simulated driving conditions.

Open to all individuals wishing to collaborate, contribute, or just use the software, the GVS provides a realistic driving experience with a number of unique features including: Obstacles, which may be triggered by the administrator while driving.  If the driver hits an obstacle in the virtually simulated environment, the event is logged as an infraction that can be reviewed after the driving session.

It also includes infraction logging including running stop signs, running red lights, vehicles driving over double yellow lines on a single highway and collisions with terrain, other vehicles, obstacles, etc.

At the end of a driving session, infraction review enables the administrator and driver to review infractions from the most recent session, with screenshots of the infraction along with pertinent vehicle data displayed and saved.

For more information on companies in this article

Related Content

  • Forward Thinking award for TRL
    July 26, 2016
    The UK’s Transport Research Laboratory (TRL) has been named the winner of the Forward Thinking Award at the 2016 ITS (UK) Awards. The award, which recognises innovation in intelligent transport systems (ITS), was presented to TRL for its creation of the UK Smart Mobility Living Lab @ Greenwich - a real-life environment where connected and automated vehicles (CAVs), services and processes can be safely developed, evaluated and integrated within the local community. Based in the Royal Borough of Greenwich,
  • Distraction dominated teen driver accident causes.
    June 3, 2015
    As a new report shows that distracted driving is a bigger cause of accidents than previously thought, Jon Masters asks what should be done to counter this problem. Research carried out by the AAA Foundation for Traffic Safety has shed new light on the dangers of distraction for teen drivers. Six years of study using video analysis has shown that 58% of all crashes involving teen drivers are caused by the driver being distracted and proved that the influence of external factors is stronger than previously th
  • Esri maps cause and effect
    September 26, 2024
    The work of the Connecticut Transportation Safety Research Center means engineers can concentrate on developing more effective safety measures, rather than having to sort out raw crash data
  • US DOTs introduce measures to stop wrong-way driving
    March 28, 2018
    Wrong-way driving (WWD) is a remarkably innocuous term for incidents that all too often cause some of the worst accidents that emergency services have to deal with. Several US states are now taking steps to minimise the problem, as Alan Dron finds out. You’re driving down a highway at night when you see approaching headlights. You initially assume they are merely those of an oncoming car on the opposite carriageway. It’s only when they are within 200 yards or so that you realise that the other driver is in