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.

For more information on companies in this article

Related Content

  • Caltrans develops remote remedy for ailing VMS
    February 18, 2014
    A remote diagnostic system for variable message signs keeps Caltrans staff safer and makes them more efficient. District 12 of the California Department of Transportation (Caltrans) maintains roads in Orange County including 292 route miles of freeway lanes and 240 directional miles of full-time high occupancy vehicle or carpool lanes. All of these lanes are controlled from the district’s transportation management centre (TMC) using a network of 58 variable message signs (VMS) positioned alongside or abo
  • Progress of ICT transport research projects
    February 3, 2012
    Juhani Jääskeläinen, head of the ICT for Transport Unit, DG Information Society and Media, European Commission, details the results of Call 4 for research projects in ICT for transport. Since the closure of the call and evaluation process during the summer of last year the European Commission (EC) has been negotiating and signing contracts with projects which were selected from proposals submitted to Call 4 of the 7th Framework Programme (FP7) in the area of Information and Communication Technology (ICT) fo
  • Proposed system to take guesswork out of choosing a freeway lane
    March 17, 2014
    A fledgling advanced lane management assist system can take the guesswork out of selecting the right lane on a congested freeway, as its inventor Robert Gordon explains. As drivers we’ve all done it and control room staff see it all the time – motorists on congested freeways switching into what they perceive is a faster lane, only to come to a halt a few moments later and watch vehicles in the other lanes continue to move past. Now, by re-analysing readily available data in an advanced lane management as
  • Automatic signal control to prevent emergency vehicle collisions?
    March 14, 2012
    Field trials under way in Arizona promise eradication of accidents between emergency vehicles at intersections – as part of a national focus on ‘intelligent signal’ infrastructure. Collisions between police cars, ambulances and fire crews as they reach intersections at the same time, with equal priority given by all signals set on red, are as serious as they sound absurd. For emergency teams and those in need of their help, the consequences are dire. The solution could come from application of connected veh