Time Of Flight Vs. FMCW LiDAR: A Side-by-Side Comparison

Time of Flight vs. FMCW LiDAR: A Side-by-Side Comparison

Recent papers have presented a number of marketing claims about the benefits of Frequency Modulated Continuous Wave (FMCW) LiDAR systems. As might be expected, there is more to the story than the headlines claim. This white paper examines these claims and offers a technical comparison of Time of Flight (TOF) vs. FMCW LiDAR for each of them. We hope this serves to outline some of the difficult system trade-offs a successful practitioner must overcome, thereby stimulating robust informed discussion, competition, and ultimately, improvement of both TOF and FMCW offerings to advance perception for autonomy.
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Security Magazine

Security Magazine Explores LiDAR for Security Applications

“Is LiDAR ready for mainstream security use?” asks Security Magazine. They sat down with Akram Benmbarek, AEye’s VP of Business Development and Strategic Initiatives at CES 2020, who says “the most suitable customers for security applications today are critical infrastructures and government agencies."  

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Mercury News Announces AEye’s Move To New Dublin California Headquarters

Mercury News Announces AEye’s Move to New Dublin California Headquarters

Having reached capacity at their Pleasanton headquarters, AEye has leased a 55,000 sq. ft office space at 1 Park Place in Dublin California, which will accommodate 350 employees and ensure the company is poised for growth and success. AEye has already begun to move its employees to the new headquarters, and will complete the move in early 2020.  

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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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