9 papers
Interpretable Fuzzy Inference for UAV Target Tracking Using Bounding-Box Geometry
Reza Ahmari, Ahmad Mohammadi, Vahid Hemmati +5
Vision-based guidance of unmanned aerial vehicles (UAVs) toward unmanned ground vehicles (UGVs) supports cooperative aerial--ground robotics, but reliable continuous yaw estimation…
Confidence-Gated Vision-Only Heading Alignment for UAV-UGV Cooperative Systems
Reza Ahmari, Vahid Hemmati, Parham Kebria +3
Vision-based heading prediction is useful for UAV--UGV cooperation, but accurate prediction alone does not guarantee that every predicted heading should be issued directly as a con…
Upper Bounds on the Generalization Error of Deep Learning Models via Local Robustness and Stability
Abdul-Rauf Nuhu, Parham M. Kebria, Vahid Hemmati +3
Generalization is a critical property of data-driven models, particularly deep learning models deployed in safety-critical applications. Robustness-based generalization bounds have…
Visual Heading Prediction for Autonomous Aerial Vehicles
Reza Ahmari, Ahmad Mohammadi, Vahid Hemmati +5
The integration of Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs) is increasingly central to the development of intelligent autonomous systems for applications…
Conflict-Free Flight Scheduling Using Strategic Demand Capacity Balancing for Urban Air Mobility Operations
Vahid Hemmati, Yonas Ayalew, Ahmad Mohammadi +4
In this paper, we propose a conflict-free multi- agent flight scheduling that ensures robust separation in con- strained airspace for Urban Air Mobility (UAM) operations applicatio…
Volatility in Certainty (VC): A Metric for Detecting Adversarial Perturbations During Inference in Neural Network Classifiers
Vahid Hemmati, Ahmad Mohammadi, Abdul-Rauf Nuhu +3
Adversarial robustness remains a critical challenge in deploying neural network classifiers, particularly in real-time systems where ground-truth labels are unavailable during infe…