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Simulation of intelligent Unmanned Aerial Vehicle (UAV) For military surveillance
Abstract
Nowadays, Unmanned Aerial Vehicle (UAV) is an important technology for military and security application. Various missions can be done using UAV such as surveillance in unknown areas, forestry conservation, and spying enemy territory. Application which is developed in this research has a purpose to simulate condition in war zone for spying the enemy. Platform used in the experiment is Parrot AR. Drone ver.2.0, an mini quadrotor which was developed by Parrot SA. This quadrotor controlled by Robot Operating System (ROS) framework. The quadrotor will search and recognize some objects and locate their location. Many algorithms were used to do the mission. To recognize object Adaboost Classifier and Pinhole Algorithm were used. The result shows that average error for all scenario is only 0.24 meters.
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Cited by
Drones for smart cities: Issues in cybersecurity, privacy, and public safety
Vattapparamban, E., Guvenc, I., Yurekli, A. I., Akkaya, K., & Uluagac, S. (2016) · 2016 International Wireless Communications and Mobile Computing Conference (IWCMC) · doi:10.1109/iwcmc.2016.7577060 · Cited by 299
UAV Path Planning Using Optimization Approaches: A Survey
Ait Saadi, A., Soukane, A., Meraihi, Y., Benmessaoud Gabis, A., Mirjalili, S., & Ramdane-Cherif, A. (2022) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-022-09742-7 · Cited by 269
Ahmad, I., Hee, L. M., Abdelrhman, A. M., Imam, S. A., & Leong, M. S. (2021) · Measurement · doi:10.1016/j.measurement.2021.109856 · Cited by 88
AI simulations and programming environments for drones: an overview
Olawale, O. P., Dimililer, K., & Al-Turjman, F. (2020) · Drones in Smart-Cities · doi:10.1016/b978-0-12-819972-5.00006-9 · Cited by 7
Metadata
- Authors
- Ma'sum, M. A., Arrofi, M. K., Jati, G., Arifin, F., Kurniawan, M. N., Mursanto, P., & Jatmiko, W.
- Venue
- 2013 International Conference on Advanced Computer Science and Information Systems (ICACSIS)
- Publisher
- IEEE
- Published
- 2013-09
- Pages
- 161-166
- OpenAlex
- W1990291111
- Cited by
- 223
- References
- 0
- FWCI
- 6.49
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Ma'sum, M. A., Arrofi, M. K., Jati, G., Arifin, F., Kurniawan, M. N., Mursanto, P., & Jatmiko, W. (2013). Simulation of intelligent Unmanned Aerial Vehicle (UAV) For military surveillance. 2013 International Conference on Advanced Computer Science and Information Systems (ICACSIS). https://doi.org/10.1109/icacsis.2013.6761569
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
