Deconstructing Two Conventional Lidar Metrics

Deconstructing Two Conventional LiDAR Metrics

Conventional metrics (such as frame rate and resolution) used for evaluating LiDAR systems don’t adequately or explicitly address real-world problems facing autonomous driving. Therefore, AEye proposes a new, more salient, set of corresponding metrics for evaluation: object revisit rate and instantaneous resolution.
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ILMF Lidar Leader Award Wibber

Lidar Leader Award Winner 2019 – Outstanding Innovation in Lidar

Lidar Leader Award 2019 Winner – Outstanding Innovation in Lidar On January 29th, 2019, AEye was awarded "Outstanding Innovation in Lidar" for the creation of the AE110 Artificial Perception System at the second annual Lidar Leader Awards ceremony at International LiDAR Mapping Forum (ILMF) – in cooperation with Spatial Media’s Lidar Magazine. The AE110 is built on AEye’s iDAR (Intelligent Detection and Ranging) perception system, which delivers more accurate and more intelligent information faster to a self-driving car's path planning…

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Engineering.com

Engineering.com Features AEye in its CES 2019 Autonomous Vehicle Tech Roundup

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.  

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VentureBeat

VentureBeat Says iDAR Is “Built for Speed”

VentureBeat reports that AEye's iDAR system "is built for speed first and foremost." While typical LiDAR systems fail to identify potential hazards quickly, AEye's Intelligent Detection and Ranging (iDAR) system creates point cloud data called “Dynamic Vixels” which enable flexible, intelligent, and faster detection for autonomous vehicles.  

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