EE Times Looks to AEye to Answer the Question, “Do ADAS cars and robocars really need lidars?

EETimes explores AEye’s use of artificial intelligence to discriminately collect data information that only matters to an AV’s path planning, instead of assigning every pixel the same priority. According to VSI’s Phil Magney, “this is really edge fusion as the device is fusing the raw data with the camera data before any classification occurs.”
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EE Times Looks to AEye to Answer the Question, "Do ADAS cars and robocars really need lidars? —

• The Future of Autonomous Vehicles: Part I – Think Like a Robot, Perceive Like a Human
• AEye Introduces Advanced Mobility Product for the Autonomous Vehicle Market
• The Future of Autonomous Vehicles: Part II – Blind Technology without Compassion Is Ruthless
• AEye’s iDAR Shatters Both Range and Scan Rate Performance Records for Automotive Grade LiDAR
• Elon Musk Is Right: LiDAR Is a Crutch (Sort of.)
• Gartner Names AEye Cool Vendor in AI for Computer Vision
• AEye Introduces Next Generation of Artificial Perception: New Dynamic Vixels™
• AEye’s $40M Series B Includes Numerous Automotive Leaders Including Subaru, Hella, LG, and SK
• AutoSens Names AEye Most Exciting Start-Up in the Automotive Imaging Sector
• AEye Granted Foundational Patents For Core Solid-State MEMs-Based Agile LiDAR And Embedded AI Technology

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