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

  • Automated vehicles need ‘driving tests’
    April 26, 2016
    European Union rules on safety approvals for new cars will need to be revised to include ‘driving tests’ for automated and fully-autonomous vehicles according to a new report from the European Transport Safety Council (ETSC). ETSC says the EU is far from answering the many research and regulatory questions that must be considered before automated and autonomous vehicles can be put on sale. The report says the priority must be ensuring that the promised safety benefits are delivered in real world driving.
  • Targeted roadside advertising project uses deep learning to analyse traffic volumes
    June 22, 2016
    A targeted roadside advertising project for digital signage using big data and deep learning just launched in Tokyo, Japan, by US smart data storage company Cloudian will focus on vehicle recognition and the ability to present relevant display ads by vehicle make and model. Together with Dentsu, Smart Insight Corporation, and QCT (Quanta Cloud Technology) Japan, and with support from Intel Japan, the project will conduct, at its first stage, deep learning analysis – artificial intelligence (AI) for recog
  • Data handling important for autonomous vehicles
    December 8, 2016
    Data handling is becoming an ever-greater part of transportation and never more so than with autonomous vehicles, as Andrew Bardin Williams hears from some big names.
  • AWS enhances Aurora AV system 
    December 14, 2021
    AWS supports millions of virtual tests to validate the capabilities of the Aurora Driver