EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 680 (2025) E3S Web Conf., 680 (2025) 00132 References
Open Access
Issue
E3S Web Conf.
Volume 680, 2025
The 4th International Conference on Energy and Green Computing (ICEGC’2025)
Article Number 00132
Number of page(s) 11
DOI https://doi.org/10.1051/e3sconf/202568000132
Published online 19 December 2025
  1. R. J. James, 5 Oct. 1989, “A history of radar,” in IEE Review, vol. 35, no. 9, pp. 343 349. [Google Scholar]
  2. D.V.A.N. Ravi Kumar, et al, 2016, “Integrated Unscented Kalman filter for underwater passive target tracking with towed array measurements,” Optik, Volume 127, Issue 5. p2840-2847. [Google Scholar]
  3. S. Haykin and Xiao Bo Li, Jan. 1995, “Detection of signals in chaos,” in Proceedings of the IEEE, vol. 83, no. 1, pp. 95-122. [Google Scholar]
  4. T A. Sinha, et al, July 2007, “Application of the Kalman-Levy Filter for Tracking Maneuvering Targets,” in IEEE Transactions on Aerospace and Electronic Systems, vol. 43, no. 3, pp. 1099-1107. [Google Scholar]
  5. C. Smith, J. Satme, J. Martin, A. R. J. Downey, N. Vitzilaios, and J. Imran, “UAV rapidly-deployable stage sensor with electro-permanent magnet docking mechanism for flood monitoring in undersampled watersheds,” HardwareX, vol. 12, pp. 1–19, 2022, https://doi.org/10.1016/j.ohx.2022.e00325. [Google Scholar]
  6. J. H. Choi, J. E. Kim, and K. T. Kim, “People counting using ir-uwb radar sensor in a wide area,” IEEE Internet Things J, vol. 8, no. 7, pp. 5806–5821, 2021, https://doi.org/10.1109/JIOT.2020.3032710. [Google Scholar]
  7. J. Schlarp, E. Csencsics, and G. Schitter, “Optical Scanning of a Laser Triangulation Sensor for 3-D Imaging,” IEEE Trans Instrum Meas, vol. 69, no. 6, pp. 3606–3613, 2020, https://doi.org/10.1109/JIOT.2020.3032710. [Google Scholar]
  8. F. Zhang, L. Yi, and X. Qu, “Simultaneous measurements of velocity and distance via a dual-path FMCW lidar system,” Opt Commun, vol. 474, pp. 1–6, 2020, https://doi.org/10.1016/j.optcom.2020.126066. [Google Scholar]
  9. Bilik, et al, Sept. 2019, “The Rise of Radar for Autonomous Vehicles: Signal Processing Solutions and Future Research Directions,” in IEEE Signal Processing Magazine, vol. 36, no. 5, pp. 20-31. [Google Scholar]
  10. E. V. Carrera, et al, 2017, “Target Detection using Radar Processors based on Machine Learning,” 2020 IEEE ANDESCON, 2020, pp. 1-5. [Google Scholar]
  11. Qiang Li, et all, 2015, “Kalman Filter and Its Application,” 2015 8th International Conference on Intelligent Networks and Intelligent Systems (ICINIS). [Google Scholar]
  12. A. Ma’arif, I. Iswanto, A. A. Nuryono, and R. I. Alfian, “Kalman Filter for Noise Reducer on Sensor Readings,” Signal and Image Processing Letters, vol. 1, no. 2, pp. 11–22, Jul. 2019, https://doi.org/10.31763/simple.v1i2.2. [Google Scholar]
  13. I. Iswanto, A. Ma’arif, N. Maharani Raharja, T. K. Hariadi, and M. A. Shomad, “Using a Combination of PID Control and Kalman Filter to Design of IoT-based Telepresence Self-balancing Robots during COVID-19 Pandemic,” Emerging Science Journal, vol. 4, no. Special issue, pp. 241–261, 2020, https://doi.org/10.28991/esj 2021-SP1-016. [Google Scholar]
  14. S. Mehta and S. Tiwari, “Radar System Using Arduino and Ultrasonic Sensor,” Int. J. Nov. Res. Dev., vol. 3, no. 4, p. 14, 2018, site: www.ijnrd.org [Google Scholar]
  15. I. Risi, A. Amakiri, and N. Tasie, “Arduino Uno Controlled Robotic Radar System Object Detector Using Ultrasonic Sensor,” Am. J. Eng. Res., vol. 9, p. 01 ─ 08, 2020. [Google Scholar]
  16. D., Roja. (2024). A, Smart Ultrasonic Radar: Real-Time Object Detection and Tracking with IoT Integration. International Journal for Modern Trends in Science and Technology. 10. 102-109. 10.46501/IJMTST1002014. [Google Scholar]
  17. S. Dubey, S. Tiwari, and S. Roy, “Implementation of Radar Using Ultrasonic Sensor,” Indian J.Sci.Res., vol. 14, no. 2, pp. 482–485, 2017. [Google Scholar]
  18. H. Setiawan, A. Ma’arif, H. M. Marhoon, A.-N. . Sharkawy, and A. . Çakan, “Distance Estimation on Ultrasonic Sensor Using Kalman Filter”, Buletin Ilmiah Sarjana Teknik Elektro, vol. 5, no. 2, pp. 210–217, May 2023. [Google Scholar]
  19. Patrick Uwigize et al 2023 J. Phys, Journal of Physics: Conference Series, Volume 2471, Recent Advances in Wireless Communications & Emerging Technologies (RAWCET 2022) 18/11/2022 - 19/11/2022 Guntur, Andhra Pradesh, India DOI 10.1088/1742-6596/2471/1/012002 [Google Scholar]
  20. Welch, G., & Bishop, G. (2006, July 24). An Introduction to the Kalman Filter. Department of Computer Science, University of North Carolina at Chapel Hill, TR 95-041, site: http://www.cs.unc.edu/~welch/media/pdf/kalman_intro.pdf [Google Scholar]
  21. V. Lee and F. R. Saputri, “Website-Based Lighting Monitoring System Design in a Laboratory of Universitas Multimedia Nusantara,” in 2021 2nd International Conference On Smart Cities, Automation & Intelligent [Google Scholar]
  22. M. N. Ahangar, Q. Z. Ahmed, F. A. Khan, and M. Hafeez, “A survey of autonomous vehicles: Enabling communication technologies and challenges,” Sensors (Switzerland), vol. 21, no. 3, pp. 1–33, 2021, doi: 10.3390/s21030706. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.