David Michael Fürst

"Sensor Fusion for Robust Pedestrian Detection and Human Pose Estimation"

Precise 3D localization of pedestrians is critical for autonomous vehicles. However, current camera only approaches suffer from depth ambiguity. LiDAR only approaches have perfect depth perception, but lack resolution required for reliable long range pedestrian detection. By adequately fusing information from multiple types of sensors, the strengths are combined and weaknesses mitigated. My work researches, highlights and overcomes different advantages and shortcomings of camera, LiDAR and fusion approaches.

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