Soheila Ghambari's repositories
3D-dataset-for-mathematical-modelling
Paper Title:"Bypassing or flying above the obstacles? A novel multi-objective UAV path planning problem" These datasets are different in environment size, the number of obstacles, start location, and destination. The obstacles are randomly placed in the area.
TLBO-UAV
Unmanned Aerial Vehicles (UAVs) have demonstrated their usefulness in both military and civilian applications for various missions. In recent years, more and more studies focus on enhancing their intelligence and autonomy level. In this study we proposed an improved version of teaching learning based optimization (TLBO) algorithm for solving offline UAV path planning problem. Experiments are conducted on a set of scenarios in two-dimension (2D) and three-dimension (3D) environments.
Path_planning_VD01
Videos and Datasets
Sghambari
Config files for my GitHub profile.