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Alfredo Renga,
Domenico Accardo,
and
Giancarmine Fasano
The course aims to provide the knowledge needed to design and develop efficient driving and navigation solutions for autonomous vehicles.
Driving can be strategic or tactical while navigation is the function that provides information about the position, speed and orientation of the vehicle. It is made by integrating measurement from different sources, such as sensors and receivers.
Register for this course and see more details by visiting:
OpenCourser.com/course/mayrbi/autonomous
What's inside
Syllabus
System Representation of Unmanned Aircraft System (UAS). UAS System Architecture. Simulation Models
Introduce the concept of Unmanned Air Vehicle UAV and Unmanned Aircraft System UAS
Read more
Syllabus
System Representation of Unmanned Aircraft System (UAS). UAS System Architecture. Simulation Models
Introduce the concept of Unmanned Air Vehicle UAV and Unmanned Aircraft System UAS
Read more
Principles of guidance models, path management, and path following
Introduce the concept of principles of guidance and patch management for autonomous aircraft
Integrated Navigation in Autonomous Aircraft Systems. GPS/INS. Dead Reckoning
Introduce the integrated navigation systems for autonomous aerospace systems
Obstacle detection and tracking for UAS: fundamentals of target tracking systems, detection and tracking for sense and avoid systems
An important function for unmanned and autonomous aircraft: obstacle detection and tracking
Design Models and Open-loop dynamics. Autopilot Design. Lateral-directional autopilot. Longitudinal Autopilot Design. Altitude-control State Machine
How does an autopilot work
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Recommended for anyone interested in autonomous vehicles
Taught by instructors with impeccable reputations in autonomous vehicle research
Provides a strong foundation for beginners in autonomous vehicle development
Covers the latest principles and techniques in autonomous vehicle navigation
Focuses on practical applications, making it relevant to industry professionals
Hands-on exercises and projects reinforce the learning experience
Save this course
Save Autonomous Aerospace Systems to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Autonomous Aerospace Systems with these
activities:
Autonomous Vehicle Technology
Show steps
Gain a comprehensive overview of autonomous vehicle technology and its policy implications for a deeper understanding of the field.
View
Autonomous Vehicle Technology: A Guide for...
on Amazon
Show steps
-
Read the book to gain foundational knowledge
-
Summarize the key concepts
Compile notes and assignments for review
Show steps
Improve retention and understanding by organizing and reviewing course materials.
Show steps
-
Gather notes, assignments, and quizzes
-
Organize and categorize the materials
-
Review the materials regularly
3Blue1Brown series on linear algebra
Show steps
Watch the 3Blue1Brown series on linear algebra to strengthen your understanding of the underlying mathematical concepts used in path following and guidance.
Browse courses on
Linear Algebra
Show steps
-
Watch the videos in order
-
Take notes on the key concepts
-
Pause the videos to work through examples
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Participate in peer discussions on system representation of unmanned aircraft systems
Show steps
Gain multiple perspectives on system representation in UAS by engaging in discussions with peers.
Show steps
-
Join online forums or discussion boards
-
Pose questions and share insights on system representation
-
Review and respond to discussions
Create a presentation on integrated navigation systems
Show steps
Develop a deep understanding of integrated navigation systems by creating a presentation on their components and operations.
Show steps
-
Research different types of integrated navigation systems
-
Design a presentation outline
-
Create visual aids and supporting materials
-
Practice presenting the material
Follow tutorials on obstacle detection and tracking
Show steps
Enhance knowledge of obstacle detection and tracking by exploring tutorials and applying them to simulation scenarios.
Browse courses on
Obstacle Detection
Show steps
-
Find online tutorials on obstacle detection and tracking
-
Select a tutorial and follow its instructions
-
Apply the techniques learned in the tutorial to simulation scenarios
Flight Simulation and Analysis
Show steps
Explore flight simulation platforms and analyze real-world flight data to gain insights into aircraft behavior and control
Browse courses on
Flight Simulation
Show steps
-
Explore flight simulators (e.g., X-Plane, Microsoft Flight Simulator) and their capabilities.
-
Import real-world flight data (e.g., from NASA or EUROCONTROL) and analyze it.
-
Correlate simulator behavior with actual aircraft performance to identify areas for improvement.
Practice path following algorithms
Show steps
Practice path following algorithms to improve your understanding of how to guide autonomous vehicles along desired paths.
Show steps
-
Implement a basic path following algorithm
-
Test the algorithm on different path shapes
-
Compare the performance of different algorithms
Perform practice drills on autopilot design
Show steps
Practice designing autopilots to improve understanding of control systems in autonomous aircraft.
Show steps
-
Review principles of autopilot design
-
Develop simulations for different autopilot designs
-
Test and compare the performance of different autopilot designs
Design and Simulation of an Autopilot System
Show steps
Develop and simulate an autopilot system to enhance your understanding of control theory and aircraft dynamics
Show steps
-
Design an autopilot system using MATLAB/Simulink or other suitable software.
-
Implement control algorithms for guidance, navigation, and control.
-
Simulate the autopilot system under various flight conditions.
-
Evaluate the performance and stability of the autopilot system.
Design a navigation system for a specific autonomous vehicle
Show steps
Design a navigation system for a specific autonomous vehicle to apply your knowledge of sensor integration, obstacle detection, and path planning.
Show steps
-
Identify the requirements of the navigation system
-
Select and integrate appropriate sensors
-
Design a path planning algorithm
-
Implement and test the navigation system
Mentor a team of students in an autonomous vehicle project
Show steps
Mentor a team of students in an autonomous vehicle project to reinforce your knowledge and develop leadership skills.
Browse courses on
Autonomous Vehicles
Show steps
-
Identify a team of students to mentor
-
Provide guidance on project planning and execution
-
Review and provide feedback on their work
-
Support them in troubleshooting and problem-solving
Autonomous Vehicle Technology
Show steps
Gain a comprehensive overview of autonomous vehicle technology and its policy implications for a deeper understanding of the field.
View
Autonomous Vehicle Technology: A Guide for...
on Amazon
Show steps
Show steps
Show steps
- Read the book to gain foundational knowledge
- Summarize the key concepts
Compile notes and assignments for review
Show steps
Improve retention and understanding by organizing and reviewing course materials.
Show steps
Show steps
Show steps
- Gather notes, assignments, and quizzes
- Organize and categorize the materials
- Review the materials regularly
3Blue1Brown series on linear algebra
Show steps
Watch the 3Blue1Brown series on linear algebra to strengthen your understanding of the underlying mathematical concepts used in path following and guidance.
Browse courses on
Linear Algebra
Show steps
Show steps
Show steps
- Watch the videos in order
- Take notes on the key concepts
- Pause the videos to work through examples
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Participate in peer discussions on system representation of unmanned aircraft systems
Show steps
Gain multiple perspectives on system representation in UAS by engaging in discussions with peers.
Show steps
Show steps
Show steps
- Join online forums or discussion boards
- Pose questions and share insights on system representation
- Review and respond to discussions
Create a presentation on integrated navigation systems
Show steps
Develop a deep understanding of integrated navigation systems by creating a presentation on their components and operations.
Show steps
Show steps
Show steps
- Research different types of integrated navigation systems
- Design a presentation outline
- Create visual aids and supporting materials
- Practice presenting the material
Follow tutorials on obstacle detection and tracking
Show steps
Enhance knowledge of obstacle detection and tracking by exploring tutorials and applying them to simulation scenarios.
Browse courses on
Obstacle Detection
Show steps
Show steps
Show steps
- Find online tutorials on obstacle detection and tracking
- Select a tutorial and follow its instructions
- Apply the techniques learned in the tutorial to simulation scenarios
Flight Simulation and Analysis
Show steps
Explore flight simulation platforms and analyze real-world flight data to gain insights into aircraft behavior and control
Browse courses on
Flight Simulation
Show steps
Show steps
Show steps
- Explore flight simulators (e.g., X-Plane, Microsoft Flight Simulator) and their capabilities.
- Import real-world flight data (e.g., from NASA or EUROCONTROL) and analyze it.
- Correlate simulator behavior with actual aircraft performance to identify areas for improvement.
Practice path following algorithms
Show steps
Practice path following algorithms to improve your understanding of how to guide autonomous vehicles along desired paths.
Show steps
Show steps
Show steps
- Implement a basic path following algorithm
- Test the algorithm on different path shapes
- Compare the performance of different algorithms
Perform practice drills on autopilot design
Show steps
Practice designing autopilots to improve understanding of control systems in autonomous aircraft.
Show steps
Show steps
Show steps
- Review principles of autopilot design
- Develop simulations for different autopilot designs
- Test and compare the performance of different autopilot designs
Design and Simulation of an Autopilot System
Show steps
Develop and simulate an autopilot system to enhance your understanding of control theory and aircraft dynamics
Show steps
Show steps
Show steps
- Design an autopilot system using MATLAB/Simulink or other suitable software.
- Implement control algorithms for guidance, navigation, and control.
- Simulate the autopilot system under various flight conditions.
- Evaluate the performance and stability of the autopilot system.
Design a navigation system for a specific autonomous vehicle
Show steps
Design a navigation system for a specific autonomous vehicle to apply your knowledge of sensor integration, obstacle detection, and path planning.
Show steps
Show steps
Show steps
- Identify the requirements of the navigation system
- Select and integrate appropriate sensors
- Design a path planning algorithm
- Implement and test the navigation system
Mentor a team of students in an autonomous vehicle project
Show steps
Mentor a team of students in an autonomous vehicle project to reinforce your knowledge and develop leadership skills.
Browse courses on
Autonomous Vehicles
Show steps
Show steps
Show steps
- Identify a team of students to mentor
- Provide guidance on project planning and execution
- Review and provide feedback on their work
- Support them in troubleshooting and problem-solving
Career center
Learners who complete Autonomous Aerospace Systems will develop knowledge and skills
that may be useful to these careers:
Systems Engineer
Systems Engineer
A Systems Engineer is responsible for managing the development and implementation of new systems within an organization. The Autonomous Aerospace Systems course, with its focus on topics such as system representation of unmanned aircraft systems and autopilot design, can be highly valuable to a Systems Engineer working with autonomous aerospace systems.
Aerospace Engineer
Aerospace Engineer
Aerospace Engineers design, develop, and test aircraft, spacecraft, and other related systems. The Autonomous Aerospace Systems course can provide Aerospace Engineers with the knowledge they need to design and develop autonomous aerospace systems. The course covers topics such as driving and navigation solutions, guidance models, and integrated navigation.
Control Systems Engineer
Control Systems Engineer
Control Systems Engineers design and develop control systems for a variety of applications, including autonomous vehicles. The Autonomous Aerospace Systems course can provide Control Systems Engineers with the knowledge they need to design and develop control systems for autonomous aerospace systems. The course covers topics such as driving and navigation solutions, guidance models, and integrated navigation.
Robotics Engineer
Robotics Engineer
Robotics Engineers design, develop, and test robots and autonomous systems. The Autonomous Aerospace Systems course can provide Robotics Engineers with the knowledge they need to design and develop autonomous aerospace systems. The course covers topics such as driving and navigation solutions, guidance models, and integrated navigation.
Mechatronics Engineer
Mechatronics Engineer
Mechatronics Engineers design and develop systems that combine mechanical, electrical, and computer engineering. The Autonomous Aerospace Systems course can provide Mechatronics Engineers with the knowledge they need to design and develop autonomous aerospace systems. The course covers topics such as driving and navigation solutions, guidance models, and integrated navigation.
Software Engineer
Software Engineer
Software Engineers design, develop, and test software systems. The Autonomous Aerospace Systems course may be helpful to a Software Engineer working on autonomous aerospace systems, as it covers topics such as driving and navigation solutions, guidance models, and integrated navigation.
Electrical Engineer
Electrical Engineer
Electrical Engineers design, develop, and test electrical systems. The Autonomous Aerospace Systems course may be helpful to an Electrical Engineer working on autonomous aerospace systems, as it covers topics such as driving and navigation solutions, guidance models, and integrated navigation.
Mechanical Engineer
Mechanical Engineer
Mechanical Engineers design, develop, and test mechanical systems. The Autonomous Aerospace Systems course may be helpful to a Mechanical Engineer working on autonomous aerospace systems, as it covers topics such as driving and navigation solutions, guidance models, and integrated navigation.
Computer Engineer
Computer Engineer
Computer Engineers design, develop, and test computer systems. The Autonomous Aerospace Systems course may be helpful to a Computer Engineer working on autonomous aerospace systems, as it covers topics such as driving and navigation solutions, guidance models, and integrated navigation.
Avionics Engineer
Avionics Engineer
Avionics Engineers design, develop, and test avionics systems for aircraft. The Autonomous Aerospace Systems course may be helpful to an Avionics Engineer working on autonomous aerospace systems, as it covers topics such as driving and navigation solutions, guidance models, and integrated navigation.
Systems Analyst
Systems Analyst
Systems Analysts analyze and design systems to meet the needs of an organization. The Autonomous Aerospace Systems course may be helpful to a Systems Analyst working on autonomous aerospace systems, as it covers topics such as driving and navigation solutions, guidance models, and integrated navigation.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve problems in a variety of industries. The Autonomous Aerospace Systems course may be helpful to an Operations Research Analyst working on autonomous aerospace systems, as it covers topics such as driving and navigation solutions, guidance models, and integrated navigation.
Data Scientist
Data Scientist
Data Scientists use data to solve problems and make predictions. The Autonomous Aerospace Systems course may be helpful to a Data Scientist working on autonomous aerospace systems, as it covers topics such as driving and navigation solutions, guidance models, and integrated navigation.
Business Analyst
Business Analyst
Business Analysts analyze business processes to identify areas for improvement. The Autonomous Aerospace Systems course may be helpful to a Business Analyst working on autonomous aerospace systems, as it covers topics such as driving and navigation solutions, guidance models, and integrated navigation.
Management Analyst
Management Analyst
Management Analysts study and improve the efficiency and effectiveness of organizations. The Autonomous Aerospace Systems course may be helpful to a Management Analyst working on autonomous aerospace systems, as it covers topics such as driving and navigation solutions, guidance models, and integrated navigation.
For more career information including salaries, visit:
OpenCourser.com/course/mayrbi/autonomous
Reading list
We've selected nine books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Autonomous Aerospace Systems.
Provides a comprehensive overview of the guidance and control of aerospace vehicles. It valuable resource for students, researchers, and practitioners in the field of autonomous aerospace systems.
Provides a comprehensive overview of the theory and practice of unmanned aircraft systems (UAS). It valuable resource for students, researchers, and practitioners in the field of autonomous aerospace systems.
Save
Provides a comprehensive overview of the aerospace propulsion systems. It valuable resource for students, researchers, and practitioners in the field of autonomous aerospace systems.
Provides a comprehensive overview of the control of robot manipulators. It valuable resource for students, researchers, and practitioners in the field of autonomous aerospace systems.
Provides a comprehensive overview of the robotics, vision and control. It valuable resource for students, researchers, and practitioners in the field of autonomous aerospace systems.
Save
Provides a comprehensive overview of the computer vision. It valuable resource for students, researchers, and practitioners in the field of autonomous aerospace systems.
Provides a comprehensive overview of the deep learning for computer vision. It valuable resource for students, researchers, and practitioners in the field of autonomous aerospace systems.
Provides a comprehensive overview of the reinforcement learning. It valuable resource for students, researchers, and practitioners in the field of autonomous aerospace systems.
Provides a comprehensive overview of the principles of flight simulation. It valuable resource for students, researchers, and practitioners in the field of autonomous aerospace systems.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/mayrbi/autonomous
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Effort
2-3 hours/week
Level
Introductory
Via
Coursera
Institution
Università di Napoli Federico II
Instructors
Alfredo Renga
Domenico Accardo
Giancarmine Fasano
Language
English
This course belongs to a
collection
called
Autonomous Vehicle Engineering. It's comprised of three courses:
- A quick tour on Big Data and Business Intelligence
- Modelling and simulation of mechanical systems
- Autonomous Aerospace Systems (viewing)
Good to know
Recommended for anyone interested in autonomous vehicles
Taught by instructors with impeccable reputations in autonomous vehicle research
Provides a strong foundation for beginners in autonomous vehicle development
Covers the latest principles and techniques in autonomous vehicle navigation
Focuses on practical applications, making it relevant to industry professionals
Hands-on exercises and projects reinforce the learning experience
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