Title :
Artificial Intelligence guidance for Unmanned Aerial Vehicles in three dimensional space
Author :
Chithapuram, Chethan ; Jeppu, Yogananda V. ; Aswani Kumar, Ch
Author_Institution :
Moog India Technol. Center, Bangalore, India
Abstract :
Unmanned Aerial Vehicle(UAV) are used in various applications like visual surveillance of natural resources, product delivery, armed attacks, disaster relief etc. This research proposes use of Artificial Intelligence (AI) for dynamic target tracking capability of an UAV. The AI guidance algorithm performance is compared against standard guidance algorithm like Proportional Navigation Guidance (PNG) algorithm.
Keywords :
artificial intelligence; autonomous aerial vehicles; mobile robots; path planning; target tracking; telerobotics; AI guidance algorithm; PNG algorithm; UAV; artificial intelligence; dynamic target tracking capability; proportional navigation guidance; standard guidance algorithm; unmanned aerial vehicles; Acceleration; Arrays; Artificial intelligence; Machine learning algorithms; Mathematical model; Noise; Training; Aerospace Simulation; Artificial Intelligence; Machine Learning; Mathematical Model;
Conference_Titel :
Contemporary Computing and Informatics (IC3I), 2014 International Conference on
Conference_Location :
Mysore
DOI :
10.1109/IC3I.2014.7019634
