January 31, 2019, 6pm | Computer Vision Meetup | Sunnyvale Community Center Speaker: Abhijit Thatte, AEye VP of Software "AI for Autonomous Vehicles"
Engineering.com: “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” — only AEye’s iDAR system can intelligently prioritize actionable data.
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.”
FutureCar sits down with AEye’s Lead Strategist, Jordan Greene, to learn how AEye uses computer vision and artificial intelligence to mimic the advanced processes of human perception.
"AEye, has built a new kind of hybrid sensor...that allows the system to prioritize where it’s looking in order to give vehicles a more refined view of the world." – MIT Technology Review