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.
Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.
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
