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. © 2014 IEEE.

Aswani Kumar Cherukuri

Department of Information Technology

School of Information Technology and Engineering

Vellore Campus

Chithapuram C

Jeppu Y.V

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Artificial Intelligence guidance for Unmanned Aerial Vehicles in three dimensional space

2014 International Conference on Contemporary Computing and Informatics (IC3I)

Artificial Intelligence (AI) is a vast domain with variety of applications. This research proposes the use of AI for guidance of an Unmanned Aerial Vehicle (UAV) to a maneuvering target. The AI agent is trained using machine learning algorithm. The PN guidance algorithm is used as a basis for training the agent. An orthogonal array based training strategy is proposed that provides a better training and reduced miss distance values. The AI based guidance provides performance equal to the PN Guidance law and in some cases it outperforms PN guidance law. © 2013 IEEE.

2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

Artificial Intelligence learning based on proportional navigation guidance

Design of Experiments (DOE) is a mathematical methodology employed for information gathering and inference. This research uses the Design of Experiments methodology to analyze the worst case scenario for guiding the UAV (Unmanned Aerial Vehicle) to a maneuverable target by an UAV. Using a minimal set of simulations the DOE provides the worst case target tracking scenario against the results obtained with several simulations. © 2013 IEEE.

2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering

Worst case scenario analysis for dynamic target tracking using design of experiments

Advanced Tactical and Strategic Missile Guidance, Seventh Edition, Volume 2

IEEE Transactions on Control Systems Technology

Proportional Navigation With Delayed Line-of-Sight Rate

2012 American Control Conference (ACC)

Biased PN based impact angle constrained guidance using a nonlinear engagement model

Journal	Data powered by Typeset2014 International Conference on Contemporary Computing and Informatics (IC3I)
Publisher	Data powered by TypesetIEEE
Open Access	0