Motor Trend Features AEye's IDAR System For Self Driving Cars

Motor Trend Features AEye’s iDAR System for Self Driving Cars

In its "Innovations in Enviro-Sensing for Robocars" feature, Motor Trend details how AEye's iDAR embeds microelectromechanical systems into solid-state LiDAR, allowing it to fire photons randomly rather than in a preset pattern, making it easier for the computer to process, thus reducing latency and power consumption five to ten times over competitors.  

Read more Features AEye In Its CES 2019 Autonomous Vehicle Tech Roundup Features AEye in its CES 2019 Autonomous Vehicle Tech Roundup While conventional LiDAR systems rely on an array of independent sensors that produce large quantities of data — which then require long processing times and extensive computing power to analyze and translate it into actionable information that a car can use — AEye’s iDAR combines solid-state, agile LiDAR with a low-light HD camera and integrated AI to prioritize the information received, ultimately increasing the speed of a car’s self-driving perception system by up to 10 times.  

Read more Highlights AEye’s AE200 Series And $40M Series B Funding Highlights AEye’s AE200 Series Announcement and $40M Series B Funding  |  The AE200 Series delivers ADAS L3 long range performance of up to 200 meters at 10% reflectivity at 0.1° resolution with a short range performance configuration of 50 meters range at 10% reflectivity. AEye's AE200 Series will be modular in design and capable of up to 120°x 45° Field of View. AEye also recently announced the close of its Series B funding, which will be used to scale its operations to meet the global demand of its partners and customers.…

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WardsAuto Features AEye In The News

WardsAuto Highlights AEye’s Next-Gen LiDAR System

AEye founder and CEO, Luis Dussan, tells WardsAuto how iDAR “is a step beyond today’s LiDARS systems.” Unveiled at CES 2018, AEye's software-definable, iDAR technology is “a new form of intelligent data collection that enables rapid, dynamic perception and enhanced path planning.”  

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