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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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IEEE Style Citation: K. Manimala, “Implementation of Collision Detection and Avoidance Algorithm for Point Mass Model UAV,” International Journal of Scientific Research in Mathematical and Statistical Sciences, Vol.6, Issue.1, pp.203-208, 2019.

MLA Style Citation: K. Manimala "Implementation of Collision Detection and Avoidance Algorithm for Point Mass Model UAV." International Journal of Scientific Research in Mathematical and Statistical Sciences 6.1 (2019): 203-208.

APA Style Citation: K. Manimala, (2019). Implementation of Collision Detection and Avoidance Algorithm for Point Mass Model UAV. International Journal of Scientific Research in Mathematical and Statistical Sciences, 6(1), 203-208.

BibTex Style Citation:
@article{Manimala_2019,
author = {K. Manimala},
title = {Implementation of Collision Detection and Avoidance Algorithm for Point Mass Model UAV},
journal = {International Journal of Scientific Research in Mathematical and Statistical Sciences},
issue_date = {2 2019},
volume = {6},
Issue = {1},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {203-208},
url = {https://www.isroset.org/journal/IJSRMSS/full_paper_view.php?paper_id=1160},
doi = {https://doi.org/10.26438/ijcse/v6i1.203208}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i1.203208}
UR - https://www.isroset.org/journal/IJSRMSS/full_paper_view.php?paper_id=1160
TI - Implementation of Collision Detection and Avoidance Algorithm for Point Mass Model UAV
T2 - International Journal of Scientific Research in Mathematical and Statistical Sciences
AU - K. Manimala
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 203-208
IS - 1
VL - 6
SN - 2347-2693
ER -

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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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