Autonomous Aerospace Systems
Create and implement sophisticated navigation solutions for unmanned aircraft systems, enhancing their operational efficiency and safety.
Create and implement sophisticated navigation solutions for unmanned aircraft systems, enhancing their operational efficiency and safety.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Autonomous Vehicle Engineering Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Design autonomous aircraft systems
Implement navigation solutions
Develop guidance models
Master autopilot design
Understand obstacle detection systems
Skills you'll gain
This course includes:
8 Hours PreRecorded video
5 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This course provides comprehensive knowledge of autonomous aerospace systems, covering unmanned aircraft system architecture, guidance models, integrated navigation, obstacle detection, and autopilot design. Students learn practical applications through simulation models and real-world examples.
System Representation of UAS
Module 1 · 1 Hours to complete
Principles of guidance models
Module 2 · 1 Hours to complete
Integrated Navigation Systems
Module 3 · 3 Hours to complete
Obstacle detection and tracking
Module 4 · 1 Hours to complete
Design Models and Autopilot
Module 5 · 1 Hours to complete
Fee Structure
Instructors
Aerospace Systems Expert and Autonomous Vehicle Specialist
Alfredo Renga serves as Professor of Aerospace Systems at the University of Naples Federico II, where he specializes in autonomous aerospace systems and navigation technology. Through his Coursera course "Autonomous Aerospace Systems," he helps students master the principles of unmanned aircraft systems, guidance models, and integrated navigation systems. His teaching focuses on critical aspects of autonomous vehicle design, including system architecture, simulation models, guidance principles, and autopilot design. The course combines theoretical foundations with practical applications, preparing students for real-world challenges in autonomous aerospace systems. His expertise spans both traditional aerospace engineering and cutting-edge autonomous technologies, making complex technical concepts accessible to students while maintaining rigorous academic standards. His teaching methodology emphasizes hands-on experience and practical problem-solving, ensuring students develop both theoretical understanding and practical skills in autonomous aerospace systems development.
Avionics Expert and Aerospace Systems Specialist
Dr. Domenico Accardo serves as Professor of Avionics and Air Traffic Management at the University of Naples Federico II and the Italian Air Force Academy. His academic credentials include an MSc in Aerospace Engineering (1997) and a Ph.D. in Aerospace Science and Technology (2000). Through his Coursera course "Autonomous Aerospace Systems," he helps students understand advanced avionics and air traffic management systems. As Chair of the Degree Course in Management of Aerospace Systems for Defense and director of the Laboratory of Innovative Flight Technologies (LIFT), he leads research in sensors, guidance systems, and unmanned aircraft systems. His research portfolio includes over 100 indexed publications and an international patent for aircraft trajectory prediction. His leadership roles include chairing the AIAA Sensor Systems and Information Fusion Technical Committee, while his research has earned significant funding from organizations including the European Union, Eurocontrol, and the European Space Agency. His expertise spans avionics, air traffic management, and autonomous aerospace systems, combining academic excellence with practical applications.
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