Skip to main content

BMW Group, Intel and Mobileye Team Up on fully autonomous driving

BMW Group, Intel and Mobileye are collaborating to bring solutions for highly and fully automated driving into series production by 2021. The BMW iNEXT model will be the foundation for BMW Group’s autonomous driving strategy and set the basis for fleets of fully autonomous vehicles, not only on highways but also in urban environments for the purpose of automated ridesharing solutions. The three partners are committed to working towards an industry standard and defining an open platform for autonomous
July 4, 2016 Read time: 2 mins
6419 BMW Group, 4243 Intel and 4279 Mobileye are collaborating to bring solutions for highly and fully automated driving into series production by 2021.

The BMW iNEXT model will be the foundation for BMW Group’s autonomous driving strategy and set the basis for fleets of fully autonomous vehicles, not only on highways but also in urban environments for the purpose of automated ridesharing solutions.

The three partners are committed to working towards an industry standard and defining an open platform for autonomous driving. This will address level 3 to level 5 automated driving and will be made available to multiple car vendors and other industries which could benefit from autonomous machines and deep machine learning.

They are convinced that automated driving technologies will make travel safer and easier. The goal of the collaboration is to develop future-proofed solutions that enable the drivers to not only take their hands off the steering wheel, but reach the so called ‘eyes off’ (level 3) and ultimately the ‘mind off’ (level 4) level, transforming the driver’s in-car time into leisure or work time. This level of autonomy would enable the vehicle, on a technical level, to achieve the final stage of travelling ‘driver off’ (level 5) without a human driver inside. This establishes the opportunity for self-driving fleets by 2021 and lays the foundation for entirely new business models in a connected, mobile world.

They have agreed to a set of deliverables and milestones to deliver fully autonomous cars based on a common reference architecture. Near term, the companies will demonstrate an autonomous test drive with a highly automated driving (HAD) prototype. In 2017 the platform will extend to fleets with extended autonomous test drives.

For more information on companies in this article

Related Content

  • Swarco: ‘Everyone’s running after buzzwords’
    April 1, 2019
    The ITS world finds itself in a time of great change. Swarco’s Michael Schuch talks to Adam Hill about connectivity, the increasing importance of the end user – and why you shouldn’t leave your core business behind
  • WIM industry ponders certification challenge
    April 29, 2019
    It’s hard to pin down the world of Weigh in Motion. Adam Hill asks five of the sector’s leading players about current developments – and whether problems with certification will ever be solved
  • Debating road user charging systems
    January 26, 2012
    Are pre-launch trials of charging systems the way to improve public acceptance? Or is the real key a more robust political attitude? Here, leading system suppliers discuss the issue. The use of distance-based Road User Charging (RUC) is now well established, at least for heavy goods vehicles on strategic roads. However demand management for all vehicles, whether a distance-based charge or some form of cordon scheme, has yet to make significant progress. This is in spite of the logic and equity of RUC being
  • Machine vision develops closer traffic ties
    January 11, 2013
    Specifiers and buyers of camera technology in the transportation sector know what they need and are seeking innovative solutions. Over the following pages, Jason Barnes examines the latest developments with experts on machine vision technology. Transplanting the very high-performance camera technology used in machine vision from tightly controlled production management environments into those where highly variable conditions are common requires some careful thinking and not a little additional effort. Mach