Presentations · 2026.09.16

Effects of data and knowledge gaps on pedestrian perception

Effect of Data or Knowledge Gaps on AI Model Performance

Overview

The demonstrator compares a baseline with models trained using deliberately introduced data gaps, visualizing coverage alongside perception performance. Its vehicle setup and output-consistency monitoring examine missed/false detections and illustrate how test-data gaps can hide model insufficiencies.

Publication and version information

One-page research poster in the materials for the 16 September 2026 IAA Transportation midterm event.

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