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.

Related Content

  • April 12, 2013
    Connected vehicles - potential to transform US transportation
    There’s a new face in the driving seat at the US Department of Transport’s ITS Joint Program Office. Fortunately, as Robin Meczes finds out, he’s no learner driver… Ask Kenneth Leonard why he wanted his new job as director of the ITS Joint Program Office, and his answer comes back without a second’s delay. “The potential to save lives, reduce injuries and help people enjoy a more efficient transportation system is the kind of challenge that makes me want to come to work each morning,” he says. “In my opinio
  • July 16, 2012
    Semi-autonomous hybrid vehicle trials show fuel, emission savings
    The Transport Research Laboratory has unveiled an innovative semi-autonomous vehicle prototype. It offers improves in environmental performance and safety but also displays some shortcomings. Mike Woof reports. The UK's Transport Research Laboratory (TRL) has been working on an innovative project to develop a prototype vehicle intended to reduce fuel consumption. Based on a Ford Escape hybrid model, TRL's Sentience vehicle uses a combination of mobile communications and mapping technologies to reduce fuel c
  • November 27, 2013
    Advanced Driver Assistance Systems: a solution or another problem?
    Do Advanced Driver Assistance Systems represent a positive step forward for safety, or something of a safety risk? Jason Barnes discusses the issue with leading industry figures. Advanced Driver Assistance Systems (ADAS) are already common. Anti-lock brakes or electronic stability control are well understood and are either fitted as standard or frequently requested by new vehicle buyers. More advanced ADAS features are appearing on many top-end vehicles and the trickle-down has already started. Adaptive
  • October 20, 2015
    Your Tesla Autopilot has arrived
    In a blog on its website, Tesla Motors, which since October 2014 has been equipping its Model S car with hardware such as a forward radar, forward camera, electric assist braking system, to allow for the incremental introduction of self-driving technology, has announced the release of Tesla version 7 software. Called Tesla Autopilot, it allows those tools to deliver a range of new active safety and convenience features, designed to work in conjunction with the automated driving capabilities already offered