PERIOD: JUNE - JULY Professor Rob Sabatini - RMIT University Aerospace Cyber-Physical Systems Research; Air Traffic Management and Flow Management Systems; UAS Navigation and Tracking Systems; GNSS and CNS Integrity Augmentation; UAS Sense-and-Avoid; Cognitive Human-Machine Interfaces and interactions

Introduction to Aerospace Cyber-Physical Systems Research 4D Trajectory Optimisation Next-Gen Flight Management Systems Dynamic Airspace Management Navigation in GNSS Denied and Challenged Environments GNSS Augmentation (VBAS and SBAS/GBAS/VBAS synergies) Low SWaP and High-Integrity Multisensor GNC Systems VLOS and BVLOS Data Communication Systems Novel and Bio-Inspired Navigation and Tracking Sensors Unmanned Aircraft Systems (UAS) Separation Assurance and Collision Avoidance Cognitive Human-Machine Interfaces and Interactions Decision Support Systems for Real-Time Planning and Command/Control (C2) UAS One-to-Many, Many-to-One and Cooperative ISR Systems Cyber-Physical Integration (Communications, Computing, Control) Air Traffic Management and Air Traffic Flow Management Systems An Evolutionary Outlook of Communications, Navigation and Surveillance / Air Traffic Management (CNS/ATM) Systems Multi-Objective Trajectory Optimisation (MOTO) in 4D Theoretical framework, solution method and aircraft models Optimal control and steady state formulations Strategies for multi-objective articulation of preferences Aircraft dynamics Fuel, time, gaseous emissions and contrails Airspace/ATM constraint modelling (lateral/vertical/longitudinal separation) Convective weather cell avoidance Air Traffic Flow Management Evolutions Dynamic Airspace Management: Rationale and Pathway to Implementation Simulation Case Studies Conclusions and Future Work UAS Navigation and Tracking Systems Vision-Based Navigation and Aircraft Dynamics Model Augmentation Controller Design Multi-Sensor Data Fusion UAS Tracking Systems Sensor-Switching Framework for Navigation and Tracking Systems Integration Architectures Simulation Case Studies Conclusions and Future Work Novel GNSS and CNS Integrity Augmentation Methods GNSS Augmentation Avionics-Based Integrity Augmentation System Integrity Flag Generator (IFG) Flight Path Optimisation (FPO) Aircraft-Based Integrity Augmentation System (ABAS) Synergies with Satellite and Ground Based Augmentation Systems (SBAS and GBAS) GNSS Integrity Augmentation in an Urban Context CNS Integrity Monitoring and Augmentation (CIMA) CIMA and Separation Assurance and Collision Avoidance (SA&CA) Integration Simulation Case Studies Conclusions and Future Work A Unified Approach to Separation Assurance and UAS Sense-and-Avoid Research Background Next-Generation Flight Management Systems Unified Approach - Analytical Framework UAS Traffic Management Simulation Case Studies Communication, Navigation and Surveillance (CNS) Performance Assessment Avionics System Implementation Pathway to Certification and HMI Considerations Conclusions and Future Work Cognitive Human-Machine Interfaces and Interactions Research Background and Objectives Cognitive Human-Machine Interfaces and Interactions (CHMI2) Concept CHMI2 Functional Architecture CHMI2 Physiological Features Classification Techniques and Dynamic Adaptation Methods Single-Pilot Operations, One-to-Many and Many-to-One Applications Verification Activities Conclusions and Future Work

Modalità di esame:

Exam:

...

Gli studenti e le studentesse con disabilità o con Disturbi Specifici di Apprendimento (DSA), oltre alla segnalazione tramite procedura informatizzata, sono invitati a comunicare anche direttamente al/la docente titolare dell'insegnamento, con un preavviso non inferiore ad una settimana dall'avvio della sessione d'esame, gli strumenti compensativi concordati con l'Unità Special Needs, al fine di permettere al/la docente la declinazione più idonea in riferimento alla specifica tipologia di esame.