Delphi, Mobileye jointly develop platform for highly automated driving

August 23, 2016 // By Christoph Hammerschmidt
In the race for a computing platform that enables cars to drive autonomously, electronics supplier Delphi and image processing expert Mobileye have announced to enter a partnership. The goal: Developing a comprehensive CSLP (Central Sensing, Localisation and Planning) solution for automated driving as defined by SAE Levels 4 and 5. And the duo kicks on the pedal: A demo version of the platform will be available as soon as CES 2017; production maturity is scheduled for 2019.

Mobileye who also is partnering with BMW and Intel for the same reason, claims a leadership position in image processing, localisation, mapping, and machine learning – all key technologies for automated driving with all its implications. The central pillar of Mobileye’s product strategy are the EQ4/5 platforms that embrace sensors, signal processing and sensor data fusion to generate 360° awareness for the car. The systems also contain something Mobileye calls Road Experience Management System that helps administer the vehicle data for real-time map generation.

 

Also Delphi is actively driving the technology development and has numerous partnerships with carmakers; among others, Delphi is manufacturing Audi’s zFAS computing platform for automated driving. The Gillingham (Kent, UK) based company said it would contribute automated driving algorithms that have been developed by startup company Ottomanika that in the meantime has been acquired by Delphi. Ottomanika had specific expertise in trajectory planning algorithms. Another contribution from Delphi’s side is the Delphi Multi Domain Controller (DMC) which includes camera, radar, and lidar sensors.


Ingredients for automated driving:
Which technology assets Delphi and Mobileye
will contribute to create a platform that makes cars drive autonomously

In addition, teams from both partners will jointly develop the next generation of sensor fusion technologies as well as driving policies that mimic human strategies of decision making. Along with Ottomanika’s driving behaviour models and the machine learning system from Mobileye, the system will generate the kind of driving capabilities required in complex urban traffic situation where coordinating with other traffic participants is essential.

 

The partnership between Delphi and Mobileye goes back to the year 2002 when Mobileye developed an active safety system.

 

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