Quadcoptor Monitoring

Authors(4) :-M. Ganesan, S. S. Gayathri, S. Krishnakumari, S. Nivedithaa

UAV technology has been an open research topic for many years. This is because of their potential huge benefits at an affordable cost in a wide range of tasks. UAV are commonly used in public and private places, yet also with few serious limitations. In this paper, we are going to design a drone that monitors the road traffic system as well as measures the pollution level emitted by the vehicle into the air. Most of the traffic monitoring systems based on UAV use a fixed trajectory to extract information about the vehicles, but we monitor the vehicle using the IP camera. During peak hours, the level of pollution will be higher so with the help of the drone we can measure the pollution level and take the required precautions.

Authors and Affiliations

M. Ganesan
Associate Professor, Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, Tamil Nadu, India
S. S. Gayathri
Associate Professor, Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, Tamil Nadu, India
S. Krishnakumari
Associate Professor, Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, Tamil Nadu, India
S. Nivedithaa
UG Sholar, Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, Tamil Nadu, India

UAV, Quadcopter, Propeller.

  1. Williams, R., Vasu Kilaru, E. Snyder, A. Kaufman, T.Dye, A. Rutter, A. Russell, and H. Hafner, Air Sensor Guidebook Washington, DC, 2014.
  2. Samira Hayat, Evsen Yanmaz and Raheeb Muzaffar, Survey on unmanned aerial vehicle networks for civil applications: A communications viewpoint, Climate Change, 2008.
  3. J. Wivou, L. Udawatta, A. Alshehhi, E. Alzaabi, A.Albeloshi and S. Alfalasi, Air quality monitoring for sustainable systems via drone based technology, Galle, 2016.
  4. M. Carpentiero, L. Gugliermetti, M. Sabatini and G. B.Palmerini, A swarm of wheeled and aerial robots for environmental monitoring, Calabria, 2017.
  5. A. Koval, E. Irigoyen and T. Koval, AR.Drone as a platform for measurements, Kiev, 2017.
  6. T. F. Villa, F. Gonzalez, B. Miljievic, Z. D. Ristovski, and L. Morawska, A. M. Melesse, An Overview of Small Unmanned Aerial Vehicles for Air Quality Measurements: Present Applications and Future Prospectives, Sensors, 2016.
  7. Patrick Haas, C. Balistreri, P. Pontelandolfo, G.Triscone, H. Pekoz, A. Pignatiello, Development of an unmanned aerial vehicle UAV for air quality measurements in urban areas, 2014.
  8. K. Borre, D. M. Akos, et al., A Software-Defined GPS and Galileo Receiver: A Single-Frequency Approach, Springer, New York, 2007.
  9. T. E. Humphreys, B. M. Ledvina, M. L. Psiaki, B. W. O’Hanlon, and P. M. Kintner, “Assessing the Spoofing Threat: Development of a Portable GPS Civilian Spoofer,” Proceedings of the 21st International Technical Meeting of the Satellite Division of the Institute of Navigation, 2008.
  10. S. Lu, D. Wang, X. Li, Z. Wang, Y. Gao, and Z. Peng. Three-dimensional distribution of fine particulate matter concentrations and synchronous meteorological data measured by an unmanned aerial vehicle (UAV), 2016.
  11. C. Lin, Y. Li, A. K. H. Lau, X. Deng, T. K. T. Tse, J. C. H. Fung, C. Li, Z. Li, X. Lu, X. Zhang, and Q. Yu. Estimation of long-term population exposure to PM2.5 for dense urban areas using 1-km MODIS data. Remote Sensing of Environment, 2016.
  12. Yi Wei Y., Lo Kin M., Mak Terrence, Leung Kwong S., Leung Yee and Meng Mei L., 2015.
  13. G. Leduc, “Road traffic data: Collection methods and applications,” Working Papers on Energy, 2016.
  14. L. Wang, F. Chen, and H. Yin, “Detecting and tracking vehicles in traffic by unmanned aerial vehicles,” Automation in Construction, 2016.
  15. R. Reshma, T. Ramesh, and P. Sathishkumar, "Security situational aware intelligent road traffic monitoring using UAVs," in VLSI Systems, Architectures, Technology and Applications (VLSI-SATA), 2016.
  16. E. N. Barmpounakis, E. I. Vlahogianni, and J. C. Go-lias, “Evaluating the accuracy of vehicle tracking data obtained from unmanned aerial vehicles,” 2017.
  17. D. Rosenbaum, F. Kurz, U. Thomas, S. Suri, and P. Reinartz, “Towards automatic near real-time traffic monitoring with an airborne wide-angle camera system," European Transport Research, 2009.
  18. E. Yanmaz, R. Kuschnig, M. Quaritsch, C. Bettstetter, and B. Rinner, “On path planning strategies for networked unmanned aerial vehicles,” in Computer Communications Workshops (INFOCOM WKSHPS), 2011.
  19. A. E. Abdulla, Z. M. Fadlullah, H. Nishiyama, N. Kato, F. Ono, and R. Miura, “An optimal data collection technique for improved utility in UAV-aided networks," in INFOCOM, 2014.

Publication Details

Published in : Volume 5 | Issue 2 | March-April 2019
Date of Publication : 2019-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 895-903
Manuscript Number : CSEIT1952158
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

M. Ganesan, S. S. Gayathri, S. Krishnakumari, S. Nivedithaa, "Quadcoptor Monitoring", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.895-903, March-April-2019. Available at doi : https://doi.org/10.32628/CSEIT1952158
Journal URL : https://res.ijsrcseit.com/CSEIT1952158 Citation Detection and Elimination     |      |          | BibTeX | RIS | CSV

Article Preview