Skip to main content

BMW Group and Mobileye to use crowd sourced data for automated driving

BMW Group and Mobileye are to collaborate on introducing Mobileye's Road Experience Management (REM) data generation technology in newly-developed BMW Group models entering the market in 2018. They aim to crowd-source real-time data using vehicles equipped with camera-based advanced driver assist system (ADAS) technology to provide next-generation high definition (HD) maps for autonomous vehicle, which will require them to identify and update changes in the environment with near real-time speed enabling
February 24, 2017 Read time: 2 mins
6419 BMW Group and 4279 Mobileye are to collaborate on introducing Mobileye's Road Experience Management (REM) data generation technology in newly-developed BMW Group models entering the market in 2018.

They aim to crowd-source real-time data using vehicles equipped with camera-based advanced driver assist system (ADAS) technology to provide next-generation high definition (HD) maps for autonomous vehicle, which will require them to identify and update changes in the environment with near real-time speed enabling very short ‘time to reflect reality’.

BMW Group sensor data can be merged with data from different automakers, resulting in a larger scale of data used to create Mobileye's Global RoadBook to support and rapidly update HD maps with highly accurate localisation capabilities.

The cameras that enable to collect anonymised, fleet-wide data utilise Mobileye EyeQ processors and software to identify valuable information that is compressed and sent to the cloud. This data can be used to add a dynamic layer to current and future navigation maps, enabling BMW Group customers to access true real-time information on traffic density, potential road hazards, weather conditions, on-street parking and other information.

To support the rapid creation and updating of HD mapping, the BMW Group and Mobileye will transfer anonymised data to Here. Here will use this data and information to conduct real-time updates of Here HD Live Map, its real-time cloud service for partially, highly and fully automated vehicle, and enhance its Open Location Platform, ensuring an accurate depiction of the real world as it changes.

For more information on companies in this article

Related Content

  • Autonomous vehicles will not prevent half of real-world crashes
    April 5, 2017
    Alan Thomas of CAVT looks at the reality behind the safety claims fuelling the drive towards autonomous vehicles
  • OpenSpace visualises how social distancing will work
    May 26, 2020
    OpenSpace CEO Nicolas Le Glatin tells Adam Hill how Xovis camera tech might help unlock more convenient ways for moving through mobility hubs during Covid-19
  • Cloud computing technology benefits GIS
    July 17, 2012
    Geographic Information Systems are a relatively late adopter of cloud computing,but the benefits of host services for geospatial data and analysis are becoming clear. Jason Barnes reports Both the concept and the reality of cloud computing have been around for some time. More and more industry sectors are entrusting external service providers with the provision of their computing services via the internet. However, the Geographic Information System (GIS) industry has been slow to embrace the trend. This is
  • Debating the future development of ANPR
    July 31, 2012
    What future is there for automatic number plate recognition? Will it be supplanted by electronic vehicle identification, or will continuing development maintain the technology's relevance? In recent years, digitisation and IP-based communication networks have allowed Automatic Number Plate Recognition (ANPR) to achieve ever-greater utility and a commensurate increase in deployments. But where does the technology go next - indeed, does it have a future in the face of the increasing use of, for instance, Dedi