Design and Development Autonomous Unmanned Aerial Vehicle Software
S.Anirudh1, Avinash M.G.2, Suriya Prakash S.3, G. Y. Rajaa Vikhram4
1S.Anirudh*, Department of Electronics and Instrumentation Engineering, SRM Institute of Science and Technology, Chengalpattu, Tamil Nadu, India.
2Avinash M.G., Department of Electronics and Instrumentation Engineering, SRM Institute of Science and Technology, Chengalpattu, Tamil Nadu, India.
3Suriya Prakash S, Department of Electronics and Instrumentation Engineering, SRM Institute of Science and Technology, Chengalpattu, Tamil Nadu, India.
4Dr. G. Y. Rajaa Vikhram, Department of Electronics and Instrumentation Engineering, SRM Institute of Science and Technology, Chengalpattu, Tamil Nadu, India.
Manuscript received on March 28, 2020. | Revised Manuscript received on April 25, 2020. | Manuscript published on April 30, 2020. | PP: 2105-2108 | Volume-9 Issue-4, April 2020. | Retrieval Number: D9147049420/2020©BEIESP | DOI: 10.35940/ijeat.D9147.049420
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Unmanned aerial vehicles are the cutting edge technology which is used in various arduous applications and emergency scenarios. But human operators find it burdensome and experience a lot of physical and mental stress while operating the aerial systems in critical and emergency scenarios such as rescue operations, mine inspection, and surveillance. Our proposed idea is to provide the autonomous capability and features to these automatons by developing a mission-planning application that can autonomously guide UAV operations even in GPS denied environments by implementing SLAM (Simultaneous Localization and Mapping). With autonomous capability, aerial systems can help to plummet the stress on human operators or may even perform the process or mission efficiently without human intervention in numerous applications. Applications involving autonomous unmanned aerial systems have increased in recent times and are being applied in a wide range of fields such as infrastructure, transport, agriculture, mining, media, and transport. This paper covers the working of the autonomous navigation algorithm, artificially intelligent object detection algorithm and the mission planning API (Application Programming Interface).
Keywords: API Application Programming Interface, GNSS Global Navigation Satellite System, GPS Global Positioning System, ROS Robot Operating System, SLAM Simultaneous Localization and Mapping, UAV Unmanned Aerial Vehicle.