3D Modeling AI Laser Scanning Lidar Technology

Speed versus Accuracy Trade-off

point cloud image Speed versus Accuracy

In the last several months, discussions concerning AI seem to be everywhere. One of the key reasons AI has garnered so much attention of late, is that by some measures, companies like OpenAI (makers of ChatGPT) and others are on the verge of resolving, or least greatly mitigating, what’s known in computational, biological and mechanical sciences, as the speed versus accuracy trade-off, or SAT.

From Spatial Source by Oliver Burkler.

Modern AI is now fast enough and accurate enough (though still far from perfect) to approximate natural conversation with both speed and accuracy that mimics human-like exchanges with a computer’s speed of data retrieval. This same balancing act between speed and accuracy plays itself out in 3D laser scanning and its related offshoots like panoramic 360° photography and photogrammetry.

In traditional 3D reality capture, high-accuracy scans can take minutes to capture and much longer than that to process the information and register the point-cloud data. Accuracy at the loss of speed. This, for any company looking to complete large-volume scans, can mean a potential loss of business. A panoramic camera, however, can capture an image with great speed but the corresponding data is far less detailed than a 3D point cloud. Speed at the expense of accuracy.

But if AI research suggests that the end of the speed-accuracy trade-off is in sight, what is the next digital domino to fall? Not one to be left in second place, the 3D laser scanning industry, which includes 3D visualisations for architecture, engineering, construction and operations and maintenance, and public safety pre-incident planning applications, is poised to claim victory here too.

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