THE CONCEPT OF DETERMINING GROUND SPEED WITH LIMITED ACCESS TO GNSS SIGNAL.
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Abstract
This article presents an innovative approach to navigation using image recognition in situations characterized by limited access to GNSS (Global Navigation Satellite System) signals (signal interference). The presented system relies on image processing to define the characteristic edges of random objects. Subsequently, the actual speed of the moving object (UAV) is obtained based on changes in the object's position. The article aims to show the potential of image recognition in navigational systems. The actual speed obtained by the image recognition can be used to correct the inertial navigation system.
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References
Bruce D.L., Takeo K., An Iterative Image Registration Technique with an Application to Stereo Vision, 1981.
Canny J., A Computational Approach To Edge Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986.
Chang Y., Cheng Y., Manzoor U., Murray J., A review of UAV autonomous navigation in GPS-denied environments, Robotics and Autonomous Systems 170, December 2023, 4–5.
Chmielewski P., Sibilski K., Ground Speed Optical Estimator for Miniature UAV, Sensors 2021, 21(8):2754. https://doi.org/10.3390/s21082754.
Doherty P., Conte G., An Integrated UAV Navigation System Based on Aerial Image Matching, Big Sky, MT, USA, 2008, DOI: 10.1109/AERO.2008.4526556.
Haydar Abdulameer Kadhim, Waleed Abdullah Araheemah, A method to improve corner detectors (Harris, Shi-Tomasi & FAST) using adaptive contrast enhancement filter, pp. 508–511, March 2020.
Lu Y., Xue Z., Xia G.S., Zhang L., A survey on vision-based UAV navigation, Geo-Spat. Inf. Sci. 2018, 21–32.
Nisha Gandhi, Harris Corner Detection and Shi-Tomasi Corner Detection, https://medium.com/pixelwise/detect-those-corners-aba0f034078b, 24.7.2018 [accessed: 15.10.2023].
OpenCV documentation, Canny Edge Detection, https://docs.opencv.org/4.x/da/d22/tutorial_py_canny.html [accessed: 15.10.2023].
OpenCV documentation, Optical flow, https://docs.opencv.org/4.x/d4/dee/tutorial_optical_flow.html [accessed: 12.10.2023].
OpenCV documentation, Shi-Tomasi Corner Detector & Good Features to Track, https://docs.opencv.org/3.4/d4/d8c/tutorial_py_shi_tomasi.html [accessed: 18.10.2023].
Sasani S., Perera, OpenCV: Image Histogram Calculations, https://medium.com/@sasasulakshi/opencvimage-histogram-calculations-4c5e736f85e, 14.7.2023 [accessed: 20.09.2023].
Sofiane S., Canny Edge Detection Step by Step in Python – Computer Vision, published in Towards data science, 25.1.2019.
Wang F., Zou Y., Zhang C., Buzzatto J., Liarokapis M., del Rey Castillo E., Lim J.B., UAV navigation in large-scale GPS-denied bridge environments using fiducial marker-corrected stereo visual-inertial localization, Automation in Construction 156, December 2023.