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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SAE's Autonomous Vehicle Engineering on New LiDAR Performance Metrics —

• AEye Team Profile: Indu Vijayan
• Deconstructing Two Conventional LiDAR Metrics, Part 2
• Deconstructing Two Conventional LiDAR Metrics, Part 1
• AEye Expands Business Development and Customer Success Team to Support Growing Network of Global Partners and Customers
• AEye Team Profile: Dr. Allan Steinhardt
• Leading Global Automotive Supplier Aisin Invests in AEye through Pegasus Tech Ventures
• AEye’s $40M Series B Includes Numerous Automotive Leaders Including Subaru, Hella, LG, and SK
• AEye’s iDAR Shatters Both Range and Scan Rate Performance Records for Automotive Grade LiDAR
• Gartner Names AEye Cool Vendor in AI for Computer Vision
• LG Electronics and AEye Announce Strategic Partnership to Address Sensing and Perception Needs of ADAS Market

Original Article