DroneComp Research Group
Our research group conducts high-level research on the design and development of computer systems and computational methods for the next-generation air transportation system.
Research fields
We study computer science fields related to the cyber-physical system of drones.
Tradable Mobility Permit Market
Agent Based Market Simulation
Reconfigurable computing
Real-time systems
Formal model-based design
Domain-specific architectures
Algorithms
Optimization
Parallel Computing
Artificial Intelligence
Control Systems
Sensor Fusion
Agent-Based Modeling
Complex Networks
Complex Systems
Certification
Quality Assurance
Requirements Engineering
Information Systems
Projects
Wildfire Risk Prediction
Unmanned Aerial Vehicle (UAV) applications have witnessed significant advancements across diverse domains, including surveillance, agriculture, disaster management, and environmental monitoring. UAV sensors can gather critical data, enabling real-time decision-making and enhancing operational capabilities.
[Done] Autonomous Search System
This project has ended in December 2023. Objectives: Demonstrate aerial autonomous search and rescue systems (manned/unmanned), using image-based Automatic Target Search System. Means of pattern recognition, perception, reasoning, decision-making, and machine learning combining available resources for situation assessment and action on Search and Rescue missions.
[Done] Multi-Sensor Image Based Navigation
This project has ended in April 2024. Aerial navigation in GNSS contested environments is a challenge for both manned and unmanned aircraft. This research project aims to study and develop technologies and algorithms to address the problem of aerial navigation without relying on GNSS, focusing on a specific image-based navigation with multi-sensor fusion in order to get a precise localization of the aircraft.
A Cyber-Physical System Roadmap to Last-Mile Delivery Drones
A cyber-physical system’s roadmap propose applicable for last-mile delivery drones.
