collaborators

6 papers

cs.RO2026

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…

cs.RO2025

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…

cs.MA2025

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…

cs.LG2025

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…

cs.CR2025

An Experimental Study of Trojan Vulnerabilities in UAV Autonomous Landing

Reza Ahmari, Ahmad Mohammadi, Vahid Hemmati +5

This study investigates the vulnerabilities of autonomous navigation and landing systems in Urban Air Mobility (UAM) vehicles. Specifically, it focuses on Trojan attacks that targe…

cs.CR2025

GPS Spoofing Attack Detection in Autonomous Vehicles Using Adaptive DBSCAN

Ahmad Mohammadi, Reza Ahmari, Vahid Hemmati +5

As autonomous vehicles become an essential component of modern transportation, they are increasingly vulnerable to threats such as GPS spoofing attacks. This study presents an adap…