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.

Location Based Systems

For more information on companies in this article

Related Content

  • Netradyne launches advanced driver assistance system, India
    December 11, 2017
    Provider of artificial intelligence and IoT systems Netradyne has launched its Advanced Driver Assistance Systems (ADAS) solution to help fleet managers recognize positive driver performance and enhance driver safety for commercial vehicles, in India. Called Driveri, the four-camera, vision-based system is mounted on the vehicle windscreen and provides real-time audio alerts to the driver when a vehicle collision is imminent. Driveri also monitors and alerts the driver for drowsiness or inattention and is
    Read More
  • Otonomo and NXP link on CV data 
    January 5, 2022
    NXP vehicle processing platforms generate data that can power driver safety applications 
    Read More
  • USDoT pilots show win-win potential for connected vehicles
    December 19, 2017
    Pete Goldin discovers the state of play with connected vehicles trials in the US and the impact of Hurricane Irma on Tampa’s pilot. The US Department of Transportation’s (USDoT’s) connected vehicle (CV) pilot sites have moved into phase 2 of the deployment programme– design, build, test and, maybe most importantly, collaborate.
    Read More
  • The scourge of poor air quality and rising pollution levels and how they can be tackled
    December 20, 2021
    Arguably, air pollution is one of the greatest challenges facing our world today. It impacts people, economies and the environment. It is clear that policymakers must act swiftly to improve air quality. ITS has a huge role to play in providing solutions. Here, Swarco, as a solution provider, shares inside tips on how to use modern ITS to save lives, economies and the environment.
    Read More

Highlighted Content