Implementation of Collision Detection and Avoidance Algorithm for Point Mass Model UAV

K. Manimala¹

Section:Research Paper, Product Type: Isroset-Journal
Vol.6 , Issue.1 , pp.203-208, Feb-2019

CrossRef-DOI:   https://doi.org/10.26438/ijsrmss/v6i1.203208

Online published on Feb 28, 2019

Copyright © K. Manimala . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
The UAVs have become more and more sophisticated. Militarily these systems are gaining tremendous importance, as they can conduct precision strikes on distant targets without collateral damage. On military missions, UAVs work in dangerous environments, and therefore, it is crucial to always keep their routes away from any type of threat and restricted zone. The original routes that are obtained offline are no more valid in dynamic environments where the position of all the threats is not known earlier. Therefore, the collision avoidance planner must be able to also work online in order to propose a new path during the UAVs mission when a sudden pop-up threat appears. UAV is designed using Matlab simulink and obstacles are simulated as Point with position in three dimensions. The proposed work clearly identified obstacles along the path and generated alternate path for smooth navigation of UAV.

Key-Words / Index Term :
UAV, Point Mass model, collision avoidance, trajectory planning

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