3 Rs White Paper Featured Image

Rethinking the Three “Rs” of LiDAR: Rate, Resolution and Range

Conventional metrics used for evaluating the performance of LiDAR for autonomous vehicles (such as frame rate, full frame resolution, and detection range) do not sufficiently address the challenges facing autonomous driving. In response, AEye proposes three new metrics for extending LiDAR evaluation, including: extending the metric of frame rate to include object revisit rate; expanding resolution to capture instantaneous resolution; and extending detection range to reflect the more critically important object classification range.
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SAE Autonomous Vehicle Engineering

SAE’s Autonomous Vehicle Engineering on New LiDAR Performance Metrics

In the May 2019 issue of SAE’s Autonomous Vehicle Engineering (AVE) magazine, AEye’s technical product manager, Indu Vijayan, argues that conventional metrics used for evaluating the unique capabilities of more advanced lidar systems are inadequate, failing to address real-world driving problems facing autonomous vehicles. In ‘New Performance Metrics for Lidar,’ Indu proposes that new measurements, such as object revisit rate and instantaneous (angular) resolution, are more advantageous for autonomous vehicle development.  

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ILMF Lidar Leader Award Winner

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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