Feasibility Analysis of UAV Navigation System in Complex Terrain
DOI:
https://doi.org/10.61173/ac5k0v60Keywords:
Drones, flight principle, navigation and control systems, complex terrain, forest terrain, urban terrainAbstract
With the continuous advancement of science and technology, unmanned aerial vehicles (UAVs) have gained extensive application, and the societal demand for them is on the rise. However, there exists a significant gap in the research of their navigation systems when operating in complex terrains. This study conducts a comprehensive analysis of the working principles of UAVs, covering both the flight and navigation control system aspects. Additionally, it elaborates on the challenges encountered in navigation within forest, mountain, and urban complex terrains, including vegetation cover, terrain undulation, and electromagnetic interference. To address these challenges, technical strategies are proposed, such as calculation methods and planning optimization related to vegetation scenarios, innovative analysis and trajectory planning for urban scenarios, as well as the application of optical flow technology. Through a comprehensive analysis of the feasibility, this study aims to provide support for the safe and efficient operation of UAVs in complex environments and promote the continuous enhancement of their application in complex terrains, thereby opening new prospects for the development and application of UAVs.References
[1] Wang Qinghua, Hu Yongbing, Li Yingsong. Practical teaching design of embedded system based on quadrotor unmanned aerial vehicle[J]. Research and Exploration in Laboratory, 2024, 43(03): 199-203. DOI: 10.19927/j.cnki. syyt.2024.03.038.
[2] Tomtit, J., Mokroš, M., Saloň, Š., Chudý, F., Tunák, D. Accuracy of Photogrammetric UAV - Based Point Clouds under Conditions of Partially - Open Forest Canopy[J]. Forests, 2017, 8: 151.
[3] Oersted H, Ma Y. Review of PID Controller Applications for UAVs[J]. arxiv preprint arxiv:2311.06809, 2023
[4] Hertel H. Structure, Form, Movement[M]. Reinhold Publishing Co., 1966.
[5] Thomas A. L. R. The flight of birds that have wings and a tail: Variable geometry expands the envelope of flight performance[J]. J. Theor. Biol., 1996, 183: 237 - 245.
[6] Enrico Ajanic, et al. Bioinspired wing and tail morphing extends drone flight capabilities[J]. Sci. Robot., 2020, 5: eabc2897. DOI: 10.1126/scirobotics.abc2897
[7] Wang Yuchu. Research on UAV path planning algorithm in complex environment[D]. Xidian University, 2023. DOI: 10.27389/d.cnki.gxadu.2023.001529.
[8] L. Yang, H. Wang, Y. El-Laham, J. I. L. Fonte, D. T. Pérez and M. F. Bugallo, “Indoor Altitude Estimation of Unmanned Aerial Vehicles Using a Bank of Kalman Filters,” ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2020, pp. 5455-5459, doi: 10.1109/ ICASSP40776.2020.9054203.
[9] Li Nan, Xiang Wenhao. Review on the research status of UAV combat navigation and positioning in urban environment[J]. Unmanned Systems Technology, 2022, 5(04): 75-87. DOI: 10.19942/j.issn.2096-5915.2022.4.040.
[10] Zhao Liang, Fei Chen, He Yongliang. Research on the Development of UAV Cluster Trajectory Planning in Urban Environment[J/OL]. Journal of Gun Launch & Control, 1 - 12[2024 - 08 - 23]
[11] Zhao Shuai. Research on several attitude control algorithms of quadrotor aircraft[D]. Guangxi Normal University, 2017
[12] Yu C, Wang J, Peng C, et al. Bisenet: Bilateral segmentation network for real - time semantic segmentation[C]. In Proceedings of the European Conference on Computer Vision (ECCV), Munich, Germany, 8 - 14 September 2018: 325 - 341. [Google Scholar]
[13] Shah S, Dey D, Lovett C, et al. Airsim: High - fidelity visual and physical simulation for autonomous vehicles[C]. In Proceedings of the Field and Service Robotics; Springer: Berlin/ Heidelberg, Germany, 2018: 621 - 635. [Google Scholar]
[14] Pinkovich B, Matalon B, Rivlin E, et al. Finding a Landing Site in an Urban Area: A Multi - Resolution Probabilistic Approach[J]. Sensors, 2022, 22: 9807.
[15] Peter J. Burke Scientific Reports volume 10, Article number: 14782 (2020)
[16] Wang Zhengyu, Wang Wencheng, Li Dexin, et al. Unmanned aerial vehicle photogrammetry in complex terrain of mining area based on optical flow method for terrain following[J]. Metal Mine, 2019, (07): 167 - 171. DOI: 10.19614/ j.cnki.jsks.201907027
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