Autonomous vehicles must have distinctive requirements in terms of navigation performance to replace the sensing capabilities of human pilot aboard. It is not just a matter of accuracy, but also integrity and availability features are very important. The tutorial will be focused on applications for autonomous aerial, naval, and terrestrial vehicles. Even if these vehicles operate in different environment, they have common distinctive features, such as the use of integrated sensor configurations to provide multiple sources of navigation data. Also, human-driven vehicles are introducing systems that are equipped with autonomous features, such as collision avoidance and route tracking. They include Unmanned Aircraft Systems, Urban Air Mobility Systems, Autonomous Cars, Trucks, Trains, Ships, and Underwater Vehicles. The staff interested in those systems is not limited to researchers.

Several vehicle manufacturers are selling and developing transport platforms with increased levels of autonomy.  Recent assessed configurations will be described that support specific needs of autonomous vehicles, such as navigation in GPS-challenging environments, autonomous vehicle formations, collision avoidance, and contingency conditions. The tutorial will discuss requirements and limitations for navigation units installed on-board autonomous vehicles. Furthermore, some reference solutions will be presented that are adopted on multiple platforms. Both hardware and processing features will be discussed. Finally, some representative examples will be presented that highlight development trends for autonomous vehicle navigation in all the relevant applications.