Overhead perception research

See the scene
from a wider angle.

Researching robust pedestrian detection for overhead fisheye imagery—from geometric distortion and oriented targets to efficient, real-time perception.

FOV · 180°LIVE · LAB 0426
FISHEYE PERCEPTIONDISTORTION-AWARE VISION
180°Field of view
360°Scene awareness
OBBRotated detection
RTReal-time goal

01 · RESEARCH FOCUS

Built for difficult views.

Overhead fisheye scenes compress scale, bend geometry, and rotate every subject. Our work treats those effects as useful priors.
R / 01

Wide-angle scenes

Modeling dense, all-direction pedestrian layouts across a large field of view and extreme edge distortion.

R / 02

Oriented detection

Using rotation-aware localization to follow the natural radial orientation of overhead pedestrians.

R / 03

Efficient inference

Balancing accuracy and computation for lightweight, practical, and real-time deployment.

CAMPUS TOOL · 01

Research is hard. Lunch shouldn’t be.

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02 · PIPELINE

From pixels to perception.

01 · CaptureOverhead wide-angle imagery
02 · CalibrateGeometric and radial priors
03 · DetectMulti-scale oriented targets
04 · DeployEfficient real-time inference