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

As the autonomous vehicle market matures, sensor and perception engineers have become increasingly sophisticated in how they evaluate system efficiency, reliability and performance. However, conventional metrics for LiDAR data collection (such as frame rate, full frame resolution and detection range) no longer adequately measure the effectiveness of sensors to solve real-world problems facing autonomous driving. In this white paper, AEye proposes three new metrics for extending LiDAR evaluation, including:

Extending the metric of frame rate to include object revisit rate,
Extending resolution to capture instantaneous resolution, and
Extending detection range to reflect the more critically important object classification range.

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Tags: AEye, LIDAR,

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