Development of a Module for Controlling and Predicting the Movement of Unmanned Vehicles

The creation of an unmanned vehicle is an extremely complex task in which it is necessary to think through a lot of technical aspects and levels of abstraction, from working with the hardware (motors, motion controllers, cameras, motion sensors, body), ending with working with AI (developing neural networks, choosing the appropriate models, training, tuning). All this takes up a lot of development resources, both material and temporary. The purpose of this graduate work is to create a unique traffic control and forecasting module specifically for the developers of the field of unmanned vehicles - to create a certain platform that can several times reduce the number of resources spent on developing prototypes of unmanned vehicles.