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

  • Hard data supports traffic monitoring
    April 30, 2024
    A collaboration between AGD Systems and North Line Canada has demonstrated the value of traffic experts putting their heads together to improve pedestrian safety
  • Cooperative driving will become common by 2020, say researchers
    July 1, 2015
    The international Celtic Plus Co-operative Mobility Services of the Future (CoMoSeF) project which, involved the development of data exchange between vehicles and infrastructure, has just presented its findings. The resulting communication system provides drivers with real time information on road weather, road conditions and incidents. During the project a cooperative roadside weather monitoring station run by the Finnish Meteorological Institute relays the latest reports – and weather updates covering
  • New services and equipment helps cities tackle air quality issues
    September 19, 2017
    With poor urban air quality shortening lives and fines being imposed for breaching pollution limits, authorities are seeking ways to clean up their cities. Poor air quality is topping the agenda for city authorities across the globe. In the UK, for example, a report from the Royal Colleges of Physicians and of Paediatrics and Child Health, concluded that poor outdoor air quality shortens the lives of around 40,000 people a year – principally by undermining the health of people with heart and/or lung prob
  • Highly automated driving ‘to spark adoption of centralised ADAS’
    August 18, 2016
    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