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.

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DroneComp Research Group

Research fields

We study computer science fields related to the cyber-physical system of drones.

Computational Enonomics

Tradable Mobility Permit Market
Agent Based Market Simulation

Embedded Systems

Reconfigurable computing
Real-time systems
Formal model-based design
Domain-specific architectures

High Performance Computing

Algorithms
Optimization
Parallel Computing

Mobile Robotics

Artificial Intelligence
Control Systems
Sensor Fusion

Simulation

Agent-Based Modeling
Complex Networks
Complex Systems

Software Engineering

Certification
Quality Assurance
Requirements Engineering
Information Systems

Projects

Autonomous Search System

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.

Multi-Sensor Image Based Navigation

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.

Sponsors

Our research is supported by