Rethinking The Four “Rs” Of LiDAR: Rate, Resolution, Returns And Range

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

Conventional metrics used for evaluating the performance of LiDAR for autonomous vehicles (such as frame rate, full frame resolution, points per second, and detection range) do not sufficiently address the challenges facing autonomous driving. In response, AEye proposes four new metrics for extending LiDAR evaluation, including: extending the metric of frame rate to include object revisit rate; expanding resolution to capture instantaneous resolution; extending points per second to signify the overall more useful quality returns per second; and extending detection range to reflect the more critically important object classification range.
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