models: airborne lidar and photogrammetry. The investigation is done in the context of the newly emerging technology of lightweight unmanned aerial systems (UAS). UAS's offer many advantages over manned aircraft

An approach to a multi-facet task of situation identification by Unmanned Aerial Vehicle (UAV) is presented. The concept of multi-layered identification system based on soft computing approach to reasoning with incomplete, imprecise or vague information is discussed.

Title of thesis: DEVELOPMENT OF A REAL-TIME HIERARCHICAL 3D PATH PLANNING ALGORITHM FOR UNMANNED AERIAL VEHICLES Matthew David Solomon, Master of Science, 2016 Thesis directed by: Dr. Huan Xu Department of Aerospace Engineering Unmanned aerial vehicles (UAVs) frequently operate in partially or entirely unknown environments. As the vehicle traverses the environment and detects new obstacles, rap...