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

Rethinking the Three “Rs” of LiDAR: Rate, Resolution and Range – AEye.ai

AEye’s can acquire targets and enable classification in far less time than conventional LiDAR systems would require to merely register a detection. With the ability to modulate revisit rate up to 3000x faster in a frame, we no longer focus on detection alone: it is now more important to gauge speed of acquisition (i.e., classification range). This brings to light the difference between detection range and basic object classification range.

Assuming that metrics like detection range are used for accurately scoring how LiDAR systems contribute to autonomous vehicle safety, then evaluators should also consider how long it takes these systems to identify hazards. Thus, Object Classification Range is a far more meaningful metric.

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