Study on dynamic collision avoidance during UAV inspection based on improved graph theory network algorithm

[1] Liu, R. L., Zhang, Z. J., Jiao, Y. F., Yang, C. H., & Zhang, W. J. (2019). Study on flight performance of propeller-driven uav. International journal of aerospace engineering, 2019(PT.2), 6282451.1-6282451.11. Search in Google Scholar

[2] Amy, Hocraffer, Chang S, & Nam. (2017). A meta-analysis of human-system interfaces in unmanned aerial vehicle (uav) swarm management. Applied ergonomics. Search in Google Scholar

[3] Dominika, S., Bartomiej, M., Krzysztof, W., Dbek, P. B., José M. Bastante, & Wilczyńska Izabela. (2022). Inca water channel flow analysis based on 3d models from terrestrial and uav laser scanning at the chachabamba archaeological site (machu picchu national archaeological park, peru). Journal of Archaeological Science, 137, 105515-. Search in Google Scholar

[4] Milo Rusnák, Ján Sládek, Pacina, J., & Anna Kidová. (2019). Monitoring of avulsion channel evolution and river morphology changes using uav photogrammetry: case study of the gravel bed ondava river in outer western carpathians. Area, 51. Search in Google Scholar

[5] Huang, Y., Tang, J., & Lao, S. (2018). Uav flight conflict resolution algorithm based on complex network. Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, 39(12). Search in Google Scholar

[6] Ma, X., Zhang, X., Wang, H., Ding, S., & Li, X. (2021). An operational safety evaluation method for manned transport aircraft and large uav in mixed airspace. Mathematical Problems in Engineering, 2021. Search in Google Scholar

[7] Sun, Huiyu, Song, Guangming, Wei, & Zhong, et al. (2018). P-like controllers with collision avoidance for passive bilateral teleoperation of a uav. Industrial Robot. Search in Google Scholar

[8] Yan, X. (2021). A rfid-integrated framework for tag anti-collision in uav-aided vanets. Remote Sensing, 13. Search in Google Scholar

[9] Santos, M. C. P., Rosales, C. D., Sarcinelli-Filho, M., & Carelli, R. (2017). A novel null-space-based uav trajectory tracking controller with collision avoidance. IEEE/ASME Transactions on Mechatronics(6). Search in Google Scholar

[10] Vinogradov, E., Minucci, F., & Pollin, S. (2020). Wireless communication for safe uavs: from long-range deconfliction to short-range collision avoidance. IEEE Vehicular Technology Magazine, PP(99). Search in Google Scholar

[11] Solovey, E. T., Ryan, K. J., & Cummings, M. L. (2020). Coda: mobile interface for enabling safer navigation of unmanned aerial vehicles in real-world settings. International Journal of Human-Computer Studies, 145(1), 102508. Search in Google Scholar

[12] Ross, J. (2022). New faa grant to help embry-riddle researchers improve drone safety. Materials evaluation (8), 80. Search in Google Scholar

[13] Jung, S., Cho, S., Lee, D., Lee, H., & Shim, D. H. (2018). A direct visual servoing‐based framework for the 2016 iros autonomous drone racing challenge. Journal of Field Robotics, 35(1), 146-166. Search in Google Scholar

[14] Hong, D., Lee, S., Cho, Y. H., Baek, D., Kim, J., & Chang, N. (2021). Energy-efficient online path planning of multiple drones using reinforcement learning. IEEE Transactions on Vehicular Technology (10), 70. Search in Google Scholar

[15] Campos, L., Aldana, R., Guardia, R. D. L., José I. Parra-Vilchis, & Gomez-Gutierrez, D. (2020). Autonomous navigation of mavs in unknown cluttered environments. Journal of Field Robotics. Search in Google Scholar

[16] Raja, G., Suresh, S., Anbalagan, S., Ganapathisubramaniyan, A., & Kumar, N. (2021). Pfin: particle filter-based indoor navigation framework for efficient uav communication. IEEE Transactions on Vehicular Technology, PP(99), 1-1. Search in Google Scholar

[17] Xianghao, M., Yingjun, S., Jingyu, Y., Zhongbin, T., Jun, L., & Tao, S., et al. (2019). Dynamic response of the horizontal stabilizer during uas airborne collision. International journal of impact engineering, 126(APR.), 50-61. Search in Google Scholar

[18] Ahmed, G., Sheltami, T., Deriche, M., & Yasar, A. (2021). An energy efficient iod static and dynamic collision avoidance approach based on gradient optimization. Ad Hoc Networks, 118(14), 102519. Search in Google Scholar

[19] Krishnan, A., Nagar, S., & Donekal, V. (2020). Advances in drone technology and iod revolutionising industries. International Journal of Robotics and Automation, 6(2), 17-34. Search in Google Scholar

[20] Park, J., & Cho, N. (2020). Collision avoidance of hexacopter uav based on lidar data in dynamic environment. Remote Sensing, 12(6), 975. Search in Google Scholar

[21] L.M. González-deSantos, J. Martínez-Sánchez, H. González-Jorge, Navarro-Medina, F., & Arias, P. (2020). Uav payload with collision mitigation for contact inspection. Automation in Construction, 115(23), 103200. Search in Google Scholar

[22] Guanzheng, W., Yinbo, X., Zhihong, L., Xin, X., Xiangke, W., & Jiarun, Y. (2022). Integrating human experience in deep reinforcement learning for multi-uav collision detection and avoidance. Industrial Robot (2), 49. Search in Google Scholar

[23] Sharvari, N. P., Bapat, J., & Das, D. (2023). Connectivity and collision constrained opportunistic routing for emergency communication using uav. Computer networks. Search in Google Scholar

[24] Li, B., Zhang, H., Niu, Y., Ran, D., & Xiao, B. (2023). Finite-time disturbance observer-based trajectory tracking control for quadrotor unmanned aerial vehicle with obstacle avoidance. Mathematical Methods in the Applied Sciences. Search in Google Scholar