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.

Related Content

  • April 21, 2017
    Consumers ‘fear technology failures with autonomous vehicles’
    With the exception of Generation Y (1977-1994), all other generational groups are becoming more sceptical of self-driving technology, which poses a new challenge to car manufacturers and technology developers, according to the J.D. Power 2017 US Tech Choice Study. The study was carried out in January-February 2017 and is based on an online survey of more than 8,500 consumers who purchased/leased a new vehicle in the past five years. “In most cases, as technology concepts get closer to becoming reality, cons
  • March 1, 2021
    CES 2021 | Connecting cities
    Covid-19 forced the Las Vegas Convention Center to close its doors for CES 2021, but the trade show’s online debut suggests the pandemic is helping cities
  • August 18, 2016
    Highly automated driving ‘to spark adoption of centralised ADAS’
    As vehicles become highly independent and begin to drive and react to traffic on their own, autonomous systems will aggregate and process data from a variety of on-board sensors and connected infrastructure, says ABI Research. This forces the industry to hit a hard reset on advanced driver assistance systems (ADAS) architectures, currently dominated by distributed processing and smart sensors. Automotive OEMs will need to adopt new platforms based on powerful, centralised processors and high-speed low la
  • January 26, 2017
    Fully autonomous vehicles ‘spur LiDAR sensors mass adoption’
    Cost-effective, high-resolution light detection and ranging (LiDAR) sensors capable of long-range object detection will be necessary for high to fully-automated driving applications. Demand for 3D mapping and imaging, better overall performance, automated processing of graphic data gathering and self-sufficient sensor with best-in-class performance in low-visibility conditions are factors driving the development and adoption of LiDAR sensors within the advanced driver assistance systems (ADAS) sensor suite