Manuscript Number : IJSRSET1844196

GPS Based Fully Ardupilot Drone Using APM Flight Controller and Sensors

Authors(5) :-K. Muralidhar, Mayank Agarwal, K. Akash Reddy, M. Monica, E. Thirumaleshwari

The project goal was to design a semi-autonomous Quad copter capable of self-sustained flight via wireless communications. The Quad copter was designed to be small enough so that costs would be minimized. Drones can significantly accelerate delivery times and reduce the human cost associated with the delivery. This report examines the value chain and opportunities in the delivery drones market. It also discusses the barriers for adoption. It concludes with our case for drones to handle the last mile of delivery of most lightweight packages. The drone cameras are operated above 500 meters and covered a radius of three kilometers. The cameras were also operated in the lanes and by lanes of the town to check the movement of people. This project also used to detect obstructs and alerts form collision occurrence. It also used to detect the fire, temperature, humidity and sends an alert message to our mobile.

Authors and Affiliations

K. Muralidhar
UG Students, Dept. of ECE, Lords Institute of Engineering and Technology, Hyderabad, Telangana, India
Mayank Agarwal
UG Students, Dept. of ECE, Lords Institute of Engineering and Technology, Hyderabad, Telangana, India
K. Akash Reddy
UG Students, Dept. of ECE, Lords Institute of Engineering and Technology, Hyderabad, Telangana, India
M. Monica
UG Students, Dept. of ECE, Lords Institute of Engineering and Technology, Hyderabad, Telangana, India
E. Thirumaleshwari

APM Flight Controller, Arduino Nano, Telemetry, FPV Camera, Humidity and Temperature Sensor, Fire Sensor, Ultrasonic Sensor, Motors, ECSs, GPS and Compass.

  1. Hoffmann, G.M.; Rajnarayan, D.G.; Waslander, S.L.; Dostal, D.; Jang, J.S.; Tomlin, C.J. (November 2004). "The Stanford Testbed of Autonomous Rotorcraft for Multi Agent Control (STARMAC)". In the Proceedings of the 23rd Digital Avionics System Conference. Salt Lake City, UT. pp. 12.E.4/1–10.
  2. Saska, M.; Vonasek, V.; Krajnik, T.; Preucil, L. Coordination and Navigation of Heterogeneous UAVs-UGVs Teams Localized by a Hawk-Eye Approach. In Proceedings of 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems. 2012.
  3. Barnes, L.; Garcia, R.; Fields, M.; Valavanis, K. Swarm formation control utilizing ground and aerial unmanned systems, in IEEE/RSJ International Conference on Intelligent Robots and Systems. 2008.
  4. Bennet, D. J.; McInnes, C. R. Verifiable control of a swarm of unmanned aerial vehicles. Journal of Aerospace Engineering, vol. 223, no. 7, pp. 939–953, 2009.
  5. Hoffman, G.; Huang, H.; Waslander, S.L.; Tomlin, C.J. (20–23 August 2007). "Quadrotor Helicopter Flight Dynamics and Control: Theory and Experiment" (PDF). In the Conference of the American Institute of Aeronautics and Astronautics. Hilton Head, South Carolina. Archived from the original(PDF) on 13 August 2010.

Publication Details

Published in : Volume 4 | Issue 7 | March-April 2018
Date of Publication : 2018-03-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 97-103
Manuscript Number : IJSRSET1844196
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

K. Muralidhar, Mayank Agarwal, K. Akash Reddy, M. Monica, E. Thirumaleshwari, " GPS Based Fully Ardupilot Drone Using APM Flight Controller and Sensors, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 7, pp.97-103, March-April-2018.
Journal URL : http://ijsrset.com/IJSRSET1844196

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