Advances in Unmanned Aerial Systems
About This Course
This course introduces the advanced concepts of small aircraft, unmanned aerial vehicles, related systems and their applications.
Participants will learn to apply basic concepts from aerodynamics, aircraft design, structures, propulsion, guidance, control, navigation, sensors, communications, vision technology, mission planning, multi-agent operations, Unmanned Aerial System (UAS) application, anti-drone technology, the latest R&D in UAS with integration of artificial intelligence and related systems to UAS.
Focus will be on the advanced topics such as: visual & inertial odometry, vision-based navigation, computer vision and perception for UAS, trajectory planning, multi-agent path-planning deconfliction & obstacle avoidance, multi-UAV and swarm operations, task allocation, target tracking, localization & mapping, Simultaneous Localization and Mapping (SLAM), deep reinforcement learning for UAS and bio-inspired UAV.
What You'll Learn
There will be a problem-based design project for this course. There will be involvement and collaboration with the industry. There will be a combination of lectures, tutorials, case studies, seminars and project activities.
There will be practical flying sessions, such that, the participants will have first hand experiences and tips to fly safely & comply with local regulations.
The flying sessions will prepare to take Unmanned Aerial System (UAS) pilot license as well.
Entry Requirements
Basic degree in engineering or science OR prior knowledge of Unmanned Aerial System (UAS) or relevant experience.