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

  • March 16, 2016
    Radar reinforces detection efficiency
    Radar can have distinct advantages in some transport-related situations as Colin Sowman found out during a visit to Navtech Radar. Despite tremendous advances in machine vision techniques, the accuracy and reliability of camera-based detection systems suffer during periods of poor visibility where other technologies may offer an alternative. Radar is one such technology. It too has seen significant development in recent years and according to Navtech Radar, the technology can often fulfil detection and moni
  • May 13, 2021
    Artificial intelligence changes Idemia’s image
    Idemia pledges to make life safer for VRUs with new products based around existing technology, Jean-Paul Baldacci tells Adam Hill
  • January 11, 2013
    Network video alternative to machine vision in urban applications
    It would be easy to fall into the trap of seeing machine vision as the vision-based solution for ITS and traffic, however Patrik Anderson, Director Business Development Transportation of Axis Communications, notes that many of the applications which are coming to be associated with machine vision – and, indeed, many of the characteristics, such as at-the-edge analytics and image processing – are also possible with open-standard networked video. Networked video brings a whole host of advantages, such as the
  • May 30, 2024
    Simulating the effects of optimal mobility
    Simulation-based optimisation is the foundation for real-time predictive analytics when it comes to optimal traffic signal programming, explain Sunny Chakravarty of Econolite and Lorenzo Meschini of PTV Group