We study computer science fields related to the cyber-physical system of drones.
Tradable Mobility Permit Market
Agent Based Market Simulation
Formal model-based design
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.
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.
Our research group infrastructure has been registered in the National Research Infrastructure Platform (PNIPE). The registration further promotes the collaboration of the group with other Brazilian laboratories. More about PNIPE The PNIPE aims to systematically map and gather information on research infrastructures in Scientific, Technological and Innovation Institutions (STIs) in Brazil, enabling access for the scientific and technological community and companies to existing laboratory facilities and research equipment, promoting their shared use.
The article “Autonomous and Collective Intelligence for UAV Swarm in Target Search Scenario” has been accepted for the IEEE LARS/SBR 2021 (Latin American Robotics Symposium/Brazilian Robotics Symposium). The paper addresses the application of a swarm of drones with autonomous intelligence in a search scenario for unknown targets.
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