Fusion von Mehrfahrzeug-Sensorperspektiven zu einem einheitlichen 360-Grad-Weltmodell
Austausch neuronaler Zwischenmerkmalskarten über Sidelinks, damit Führungsfahrzeuge verdeckte Hindernisse hinter nachfolgenden Bussen erkennen.
Feature-Level Spatial Alignment
Convolutional feature maps from adjacent cars are transformed into the ego-vehicle's BEV (Bird's Eye View) plane with sub-pixel spatial accuracy.
- Over 300% expansion of effective perception field-of-view.
- Occluded blind-spot pedestrian detection with 99.8% precision.
- Uplink data bandwidth optimized below 2 Mbps per sharing vehicle.
- Automatic spatial registration compensating for GPS localization noise.
Domain-Portfolio entdecken