Skip to main content

Mobileye and Delphi partner on SAE Level 4/5 automated driving solution

Computer vision systems specialist Mobileye and Delphi Automotive, which specialises in automated driving software, are to collaborate to develop a complete SAE Level 4/5 automated driving solution. The solution will be based on key technologies from each company, including Mobileye's EyeQ 4/5 system on a chip (SoC) with sensor signal processing, fusion, world view generation and Road Experience Management (REM) system, which will be used for real time mapping and vehicle localisation. Delphi will inc
August 23, 2016 Read time: 2 mins
Computer vision systems specialist 4279 Mobileye and 7207 Delphi Automotive, which specialises in automated driving software, are to collaborate to develop a complete SAE Level 4/5 automated driving solution.

The solution will be based on key technologies from each company, including Mobileye's EyeQ 4/5 system on a chip (SoC) with sensor signal processing, fusion, world view generation and Road Experience Management (REM) system, which will be used for real time mapping and vehicle localisation.

Delphi will incorporate automated driving software algorithms from its Ottomatika acquisition, which include the path and motion planning features, and Delphi's Multi-Domain Controller (MDC) with the full camera, radar and LiDAR suite.

In addition, teams from both companies will develop the next generation of sensor fusion technology as well as the next generation human-like ‘driving policy’.  This module combines Ottomatika's driving behaviour modelling with Mobileye's deep reinforcement learning in order to yield driving capabilities necessary for negotiating with other human drivers and pedestrians in complex urban scenes.

Related Content

  • February 21, 2017
    Mobileye implements collision avoidance technology New York City for-hire vehicles
    Advanced driver assistance systems supplier Mobileye, in partnership with Atlas Financial Holdings has completed the installation of collision avoidance technology across 4,500 for-hire vehicles in New York City. The rideshare vehicles, such as those available through popular apps including Uber and Lyft, will feature Mobileye's technology enabled by a high resolution vision sensor that analyses potential dangerous scenarios in real time, alerting drivers to impending collisions and giving them enough ti
  • December 21, 2015
    Measuring alertness to avert drowsy driver incidents
    Falling asleep at the wheel is the primary cause in thousands of deaths on American and other roads, with truck drivers the most at-risk group. David Crawford investigates measures to counter drowsy driving.
  • January 14, 2020
    Trust AI – it knows more than we do
    There’s no shortage of data – but making the most of it is the problem. Andrew Bunn examines how AI will be able to support and influence the development of advanced transportation strategies
  • June 1, 2016
    Traffic management turns to machine vision
    Traffic engineers can use the latest advances in vision technology to streamline and enhance traffic management. The idea of using one camera to perform all functions at an intersection is attractive to authorities for many reasons and camera supplier Gridsmart says it can make this happen. Its Bell Camera offers a horizon to horizon view that includes the centre of the intersection where vehicles, bicycles and pedestrians cross paths and it can be used for traffic light actuation, traffic data collection a