4 citations · 12 across the 12 of their papers we have counts for
12 papers
Remote ID Spoofing-Aware Trajectory Planning for Small Unmanned Aerial Systems
Jeremiah Webb, Bryce Bjorkman, Abel Diaz Gonzalez +7
This work presents a decentralized, spoofing-aware trajectory planning framework for small unmanned aerial systems operating under Remote Identification (RID) location spoofing att…
Diagnosis of Human Object Interaction Detectors for Real World Educational Applications
Divya Mereddy, Ashwin Tudur Sadashiva, Marcos Quinones-Grueiro +1
Human-object interaction (HOI) recognition is critical for automatically analyzing student behavior in complex educational environments. Although state-of-the-art (SOTA) HOI detect…
Safe Continual Reinforcement Learning in Non-stationary Environments
Austin Coursey, Abel Diaz-Gonzalez, Marcos Quinones-Grueiro +1
Reinforcement learning (RL) offers a compelling data-driven paradigm for synthesizing controllers for complex systems when accurate physical models are unavailable; however, most e…
A Survey of Security Challenges and Solutions for Advanced Air Mobility and eVTOL Aircraft
Mahyar Ghazanfari, Iman Sharifi, Peng Wei +25
This survey reviews the existing and envisioned security vulnerabilities and defense mechanisms relevant to Advanced Air Mobility (AAM) systems, with a focus on electric vertical t…
A Survey of Security Challenges and Solutions for UAS Traffic Management (UTM) and small Unmanned Aerial Systems (sUAS)
Iman Sharifi, Mahyar Ghazanfari, Abenezer Taye +25
The rapid growth of small Unmanned Aerial Systems (sUAS) for civil and commercial missions has intensified concerns about their resilience to cyber-security threats. Operating with…
Video-Based Performance Evaluation for ECR Drills in Synthetic Training Environments
Surya Rayala, Marcos Quinones-Grueiro, Naveeduddin Mohammed +5
Effective urban warfare training requires situational awareness and muscle memory, developed through repeated practice in realistic yet controlled environments. A key drill, Enter…
Real-World Deployment and Assessment of a Multi-Agent Reinforcement Learning-Based Variable Speed Limit Control System
Yuhang Zhang, Zhiyao Zhang, Junyi Ji +7
This article presents the first field deployment of a multi-agent reinforcement learning (MARL) based variable speed limit (VSL) control system on Interstate 24 (I-24) near Nashvil…
On the Design of Safe Continual RL Methods for Control of Nonlinear Systems
Austin Coursey, Marcos Quinones-Grueiro, Gautam Biswas
Reinforcement learning (RL) algorithms have been successfully applied to control tasks associated with unmanned aerial vehicles and robotics. In recent years, safe RL has been prop…
Phase Re-service in Reinforcement Learning Traffic Signal Control
Zhiyao Zhang, George Gunter, Marcos Quinones-Grueiro +4
This article proposes a novel approach to traffic signal control that combines phase re-service with reinforcement learning (RL). The RL agent directly determines the duration of t…
Field Deployment of Multi-Agent Reinforcement Learning Based Variable Speed Limit Controllers
Yuhang Zhang, Zhiyao Zhang, Marcos Quiñones-Grueiro +4
This article presents the first field deployment of a multi-agent reinforcement-learning (MARL) based variable speed limit (VSL) control system on the I-24 freeway near Nashville,…
FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection
Austin Coursey, Junyi Ji, Marcos Quinones-Grueiro +5
Early and accurate detection of anomalous events on the freeway, such as accidents, can improve emergency response and clearance. However, existing delays and errors in event ident…
MARVEL: Multi-Agent Reinforcement-Learning for Large-Scale Variable Speed Limits
Yuhang Zhang, Marcos Quinones-Grueiro, Zhiyao Zhang +4
Variable Speed Limit (VSL) control acts as a promising highway traffic management strategy with worldwide deployment, which can enhance traffic safety by dynamically adjusting spee…