Analysis on Pathway Finding Algorithm for Unmanned Aerial System.

HlaMyo Tun

Author(s)

HlaMyo Tun Department of Electronic Engineering, Yangon Technological University, Gyogone, Insein, Yangon, Myanmar

Abstract

- The paper mentions the path planning design for Unmanned Aerial System (UAS) that utilizing Comprehensive A* algorithm as the main contribution for the UAV to navigate the area of interest autonomously and transportation to a goal desired by autopilot system. The objective for the autopilot system for UAV is to find the best possible path along the probable path in any random prospect autonomously. Autonomous UAV navigation systems have need of the amalgamation of many research works such as trajectory tracking, sensing on position and orientation of UAS, control of UAS, and avoiding the obstacles for UAV. The main contribution of this research is to fashion and expand a suitable path for UAV able to circumvent many obstacles like building and mountains in its pathway and achieve a goal designated situation from its initial position. Therefore, many simulations were performed in different fixed atmosphere, and the results prove that the UAV accomplishes its goal with bump gratis blockages. In the present analysis, different experiments have been performed by including the pathway of simulation for UAV in MATLAB and using GUI for the algorithm implementation.

Publication Details

Page(s) 3-9

DOI DOI not available

Published Journal: Bahria University Journal of Information & Communication Technologies, Volume: 9, Issue: 2, Year: 2016

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References

Kuan-Chieh Chen,Wen-HsiangTsai,Vehicle-LocalizationTechnique, 2010.Vision-Based Autonomous Vehicle Guidance for Indoor Security Patrolling by a SIFT-Based, -

Hassanzadeh ,, K.,Madani and M., 2010.A.Badamchizadeh: Unmanned aerial VehiclePath Planning Based on Shuffled Frog Leaping Optimization Algorithm, (, -

William L. FehlmanII, 2009.Mark K. Hinders: Unmanned aerial Vehicle Navigation with Intelligent Infrared Image Interpretation, (, -

XiaoyongYE,Yong Lei and Haijun Hou: Design of Intelligent Unmanned aerial Vehicle System and its global optimal path planning, -

CyrilRoussillon,Vehicleics, 2008.,Project Report) CS7630 -

MohdAzlan Shah Abd Rahim and Illani Mohd Nawi: Path Planning Automated Guided,Vehicle, 2008., -

BrianD.Hahn and Daniel T Valentine: Essential MATLAB for Engineers and Scientists, Third edition, (2007).

EduardoNebot: Simultaneous Localization, 2006.Center for Field Vehicleics, -

CsabaSzepsv, 2005.Ari: Shortest Path Discovery Problems: A Framework Algorithms, -

PatrickLester, 2005.A*Path Finding for Beginners, (, -

PatrickLester,A * Path,Finding, 2004., -

AnandVeeraswamy, 2004.Implementation of Path Finding Techniques in Homeland Security Vehicles, -

RolandSiegwart and Illah R. Nourbakhsh, 2004., -

KristofGoris, 2004., -

AnthonyStentz, 2003.Optimal and Efficient Path Planning for Partially Known Environments, -

FrankDellaert: The Exception Maximization Algorithm, 2002., -

Goldberg, 2002.Maimone and Mattheis: Stero Vision and Rover Navigation Software for Planetary Exploration, -

MatthewJ, 2001.Controller Development and Implementation for Path Planning and Following in an Autonomous Urban Vehicle, -

Loughnane, 2001.Design and Construction of an Autonomous Unmanned aerial Security Device, (, -

2000.Victorino and Borrelly: Localization and Map Building Using a Sensor Based Control Strategy, -

2000.,[21] Dudek and Jenkin: Computational Principles of Unmanned aerial Vehicleics -

1998.,[22] Kortenkamp and Murphy: Artificial Intelligence and Unmanned aerial Vehicles -

Vercelli , G., 1998.Morasso: Recognition and Classification of Path Features with Self-organizing Maps during Reactive Navigation,(, -

Minato , Takashi,Asada, 1998.Minoru: Environmental Change Adaptation for Unmanned aerial Vehicle Navigation, (, -

1998.Michaud and Francois Mataric: Learning From History for Adaptive Unmanned aerial Vehicle Control, (, -

Konolige, 1997.Improved Occupancy Grids for Map Building, -

F.M., 1997.Josson: An Optimal Pathfinder for Vehicles in RealWorld Digital Terrain Maps, (, -

1996.Planning Continuous- Curvature Paths for car-like Vehicles, (, -

Elfes, 1987.Sonar-based Real-world Mapping and Navigation, -

Y.J.Kanayama,N., 1986.Miyake: Trajectory Generation for Unmanned aerial Vehicles,Vehicleic Research 3 -