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Found 6 papers, 1 papers with code
AYDIV: Adaptable Yielding 3D Object Detection via Integrated Contextual Vision Transformer
Combining LiDAR and camera data has shown potential in enhancing short-distance object detection in autonomous driving systems.
Left-right Discrepancy for Adversarial Attack on Stereo Networks
Stereo matching neural networks often involve a Siamese structure to extract intermediate features from left and right images.
Model Generalization in Arrival Runway Occupancy Time Prediction by Feature Equivalences
General real-time runway occupancy time prediction modelling for multiple airports is a current research gap.
A Tunnel Gaussian Process Model for Learning Interpretable Flight's Landing Parameters
Specifically, we develop two variants of tunnel Gaussian process (TGP) models to elucidate aircraft's approach and landing dynamics using advanced surface movement guidance and control system (A-SMGCS) data, which then indicates the stability of flight.
Deep4Air: A Novel Deep Learning Framework for Airport Airside Surveillance
An airport runway and taxiway (airside) area is a highly dynamic and complex environment featuring interactions between different types of vehicles (speed and dimension), under varying visibility and traffic conditions.
An Incremental Clustering Method for Anomaly Detection in Flight Data
It trains an initial GMM model based on historical offlline data.
