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.

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This course is part of the Autonomous Vehicle Engineering Specialization.

What you'll learn

Design and develop efficient driving and navigation solutions for autonomous vehicles

Syllabus

System Representation of Unmanned Aircraft System (UAS). UAS System Architecture. Simulation Models

Module 1

Introduce the concept of Unmanned Air Vehicle UAV and Unmanned Aircraft System UAS

Principles of guidance models, path management, and path following

Module 2

Introduce the concept of principles of guidance and patch management for autonomous aircraft

Integrated Navigation in Autonomous Aircraft Systems. GPS/INS. Dead Reckoning

Module 3

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

Module 4

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

Module 5

How does an autopilot work

Autonomous Vehicle Engineering Specialization

Aerospace

Simulation

Modeling

Mechanical Engineering

Autonomous Systems

Coursera Plus

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Course Auditing

Coursera

University of Naples Federico II