Open Access
Issue
MATEC Web Conf.
Volume 388, 2023
2023 RAPDASA-RobMech-PRASA-AMI Conference Advanced Manufacturing Beyond Borders - The 24th Annual International RAPDASA Conference joined by RobMech, PRASA and AMI, hosted by CSIR and CUT
Article Number 04011
Number of page(s) 21
Section Robotics and Mechatronics
DOI https://doi.org/10.1051/matecconf/202338804011
Published online 15 December 2023
  1. S.A.H. Mohsan, M.A. Khan, F. Noor, I. Ullah, M.H. Alsharif, Drones, Towards the Unmanned Aerial Vehicles (UAVs): A Comprehensive Review, 6, [2, 15-17] (2022) [Google Scholar]
  2. H. Shakhatreh, A. Khreishah, B. Ji, IEEE ICC, Providing wireless coverage to high- rise buildings using UAVs, 1 (2017) [Google Scholar]
  3. X. Lin, C. Wang, K. Wang, M. Li, X. Yu, Transportation Research Part C: Emerging Technologies, Trajectory planning for unmanned aerial vehicles in complicated urban environments: A control network approach, 128, 14 (2021) [Google Scholar]
  4. L. Palmer, PhD dissertation (Faculty of Engineering Stellenbosch University), Cooperative Collision Avoidance Strategies for Unmanned Aerial Vehicles, [12-18, 85, 138] (2021) [Google Scholar]
  5. M.V. Ramana, S. A. Varma, M. Kothari, IFAC-PapersOnLine, Motion Planning for a Fixed-Wing UAV in Urban Environments, 49, [419, 423] (2016) [Google Scholar]
  6. S. Bhagat, P.B. Sujit, ICUAS, UAV Target Tracking in Urban Environments Using Deep Reinforcement Learning, [698, 701] (2020) [Google Scholar]
  7. J. Wu, H. Wang, N. Li, P. Yao, Y. Huang, H. Yang, Neurocomputing, Path planning for solar-powered UAV in urban environment, 275, 2064 (2018) [Google Scholar]
  8. M. Kothari, I. Postlethwaite, D.W. Gu, JINT, UAV Path Following in Windy Urban Environments, 74, 1027 (2014) [Google Scholar]
  9. L. Singh, J. Fuller, Proceedings of the 2001 American Control Conference, Trajectory generation for a UAV in urban terrain using nonlinear MPC, 3, 2301 (2001) [Google Scholar]
  10. C. Yin, Z. Xiao, X. Cao, X. Xi, P. Yang, D. Wu, IEEE Internet of Things Journal, Offline and Online Search: UAV Multiobjective Path Planning Under Dynamic Urban Environment, 5, 553–557 (2018) [Google Scholar]
  11. T. Castelli, A. Sharghi, D. Harper, A. Trémeau, M. Shah, ArXiv, Autonomous navigation for low-altitude UAVs in urban areas, 1 (2016) [Google Scholar]
  12. F.M. Adolf, H. Hirschmüller, JINT, Meshing and Simplification of High Resolution Urban Surface Data for UAV Path Planning, 61, 177 (2011) [Google Scholar]
  13. IATA, Honeywell, Performance assessment of pilot response to Enhanced Ground Proximity Warning System (EGPWS), 5 (2019) [Google Scholar]
  14. S. Aggarwal, N. Kumar, Path planning techniques for unmanned aerial vehicles: A review, solutions, and challenges, Computer Communications, 149, 281 (2020) [Google Scholar]
  15. D. Choi, D. Kim, K. Lee, NAECON, Collision Avoidance of Unmanned Aerial Vehicles In an Urban Environment, [25, 29-30] (2021) [Google Scholar]
  16. S. Huang, R.S.H. Teo, K. K. Tan, Annual Reviews in Control, Collision avoidance of multi unmanned aerial vehicles: A review, 48, 150 (2019) [Google Scholar]
  17. FAA, Introduction to TCAS II, Version 7.1, 5 (2011) [Google Scholar]
  18. NYC Department of City Planning, NYC 3D Model by Community District (2018) [Google Scholar]
  19. FileInfo.com, .3DM File Extension (2016) [Google Scholar]
  20. G. Turk, Leland Stanford Junior University, The PLY Polygon File Format, 1 (1994) [Google Scholar]
  21. M. Attene, M. Campen, L. Kobbelt, ACM Computing Surveys, Polygon mesh repairing: An application perspective, 45, 2 (2013) [Google Scholar]
  22. C. Ericson, Real-Time Collision Detection, Geometrical Robustness, 465-468 (2005) [Google Scholar]
  23. C. Ericson, Real-Time Collision Detection, Basic Primitive Tests, 226-227 (2005) [Google Scholar]
  24. C. Ericson, Real-Time Collision Detection, Bounding Volume Hierarchies, 235-236 (2005) [Google Scholar]
  25. C. Ericson, Real-Time Collision Detection, Bounding Volumes, 75 (2005) [Google Scholar]
  26. S. M. LaValle, Planning Algorithms, Combinatorial Motion Planning, 260 (2006) [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.