Detail of the student project

Topic:Bayesian Modeling of Targets Dynamics by Observations UAVs
Department: Multirobotické systémy
Supervisor:Kelen Cristiane Teixeira Vivaldini, Ph.D.
Announce as:Diplomová práce, Bakalářská práce, Semestrální projekt
Description:Unmanned Aerial Vehicles (UAVs) offer a relatively risk-free and low-cost way to quickly and systematically observe natural phenomena at high spatio-temporal resolution. One of the challenges is to carry out mapping in these environments by quickly recognizing dynamic targets in the environment based on visual observation and obtaining an estimate of the floating direction of the detected target.
For monitoring tasks, the criteria commonly used to determine which locations the UAV should visit in real-time are unsuitable for this task. So, target modeling target is essential to improve the success of the mission. Our proposed approach aims to overcome adverse conditions in situations in which previous beliefs about the location of extremes are inaccurate or erroneous.
Responsible person: Petr Pošík