Energy-optimal coverage path planning on topographic map for environment survey with unmanned aerial vehicles PROJECT TITLE :Energy-optimal coverage path planning on topographic map for environment survey with unmanned aerial vehiclesABSTRACT:An energy-optimal coverage path planning algorithm is proposed for setting survey. 1st, 3D terrains are modelled by tensor product Bezier surfaces for a mesh illustration. Then, an influence estimator comes to calculate the consumed energy for a piecewise spatial path. Based on the digital surface model, an energy consumption map is constructed for the entire space by means of a weighted directed graph. Finally, an energy-optimal path will be achieved through traversing the map by a genetic algorithm. Numerical experiments demonstrate the effectiveness and potency of the proposed algorithm. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Improved Charge-Trapping Characteristics of ZrO2 by Al Doping for Nonvolatile Memory Applications Fuzzy Metric Space Induced by Intuitionistic Fuzzy Points and its Application to the Orienteering Problem
