Skip to main content

Mobileye and Lucid partner on autonomous vehicles

US-based electric vehicle developer Lucid Motors is to collaborate with Israeli company Mobileye to enable autonomous driving capability on Lucid vehicles. Lucid plans to launch its first car, the Lucid Air, with a complete sensor set for autonomous driving, including camera, radar and LiDAR sensors. Mobileye will provide the primary computing platform, full eight-camera surround view processing, sensor fusion software, Road Experience Management (REM) crowd-based localisation capability and reinforceme
January 4, 2017 Read time: 2 mins
US-based electric vehicle developer Lucid Motors is to collaborate with Israeli company 4279 Mobileye to enable autonomous driving capability on Lucid vehicles.

Lucid plans to launch its first car, the Lucid Air, with a complete sensor set for autonomous driving, including camera, radar and LiDAR sensors.  Mobileye will provide the primary computing platform, full eight-camera surround view processing, sensor fusion software, Road Experience Management (REM) crowd-based localisation capability and reinforcement learning algorithms for driving policy.  These technologies will offer a full advanced driver assistance system (ADAS) suite at launch and then enable a logical and safe transition to autonomous driving functionality through over-the-air software updates.

In common with other Mobileye programs, the camera set includes a forward-facing trifocal-lens camera and an additional five cameras surrounding the vehicle. In addition, Mobileye will offer sensor fusion software that incorporates data from radar and LiDAR sensors, along with the camera set, in order to build the critical environmental model necessary to facilitate autonomous driving.

Mobileye's REM system is intended to provide the vehicle with highly accurate localisation capability.  Lucid vehicles will benefit from the near real-time updating of the collaborative, dynamic global Roadbook high-definition mapping system.  Data generated from Lucid vehicles can be used to enhance the autonomous driving software and will also contribute to the aggregation of Mobileye's Global Roadbook.

For more information on companies in this article

Related Content

  • Tech advances create MaaS without compromise
    August 29, 2019
    Advances in technology make it possible for authorities to compile and maintain MaaS platforms cheaply - and without relinquishing control to third parties. Colin Sowman finds out more… It is increasingly clear that local authorities’ reluctance to implement Mobility as a Service (MaaS) is based on politics and finance. However, the technology underpinning MaaS is evolving rapidly and is presenting new solutions. At its heart, the political resistance comes down to the divide between the ethos of public
  • Florida opts for Kyra’s IntelliConnect
    April 24, 2024
    Initial phase covers 20-mile section of Orlando Turnpike Mainline & Beachline Expressway
  • Volvo Cars and Autoliv JV to develop autonomous driving software
    September 8, 2016
    Automaker Volvo Cars and automotive safety systems supplier Autoliv are to set up a new jointly owned company to develop next-generation autonomous driving software. The planned new company will have its headquarters in Gothenburg, Sweden, and an initial workforce taken from both companies of around 200, increasing to more than 600 in the medium term. The company is expected to start operations in the beginning of 2017.
  • Continental and BMW Group partner on automated driving
    February 27, 2013
    German automotive supplier Continental and BMW Group are pooling their development capacities to define the long-term prerequisites for series introduction of highly automated driving on European freeways. The two companies have signed an agreement to jointly develop an electronic co-pilot for this purpose, with the aim of paving the way to automated driving functions beyond the year 2020. “Automated driving is a key element in future mobility. It will significantly enhance safety, comfort and efficiency on