journal article·2023-03-24Open access

Special Issue on Unmanned Aerial Vehicles

Sylvain Bertrand, Hyo-Sang Shin

Applied Sciences· Volume 13· Issue 7

Abstract

Unmanned Aerial Vehicles (UAVs) are recognized as very useful tools to replace, help, or assist humans in various missions, such as inspection and monitoring, surveillance, search and rescue, exploration, logistics and transportation, etc [...]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short

Research context

OpenAlex topics: UAV Applications and Optimization · Robotic Path Planning Algorithms · Distributed Control Multi-Agent Systems

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Traitement de l’Information et Systèmes, ONERA, Université Paris-Saclay, 91123 Palaiseau, France

Centre for Autonomous and Cyber-Physical Systems, Cranfield University, Cranfield MK43 0AL, UK

References (20)

Show source-provided references
1. Lei, Y., Ye, Y., and Chen, Z. (2020). Horizontal Wind Effect on the Aerodynamic Performance of Coaxial Tri-Rotor MAV. Appl. Sci., 10.10.3390/app10238612 ↗
2. Nowakowski, M., Sibilski, K., Sibilska-Mroziewicz, A., and Żyluk, A. (2021). Bifurcation Flight Dynamic Analysis of a Strake-Wing Micro Aerial Vehicle. Appl. Sci., 11.10.3390/app11041524 ↗
3. Jdiobe, M., Rouser, K., Paul, R., and Rouser, A. (2022). Validation of a Wind Tunnel Propeller Dynamometer for Group 2 Unmanned Aircraft. Appl. Sci., 12.10.3390/app12178908 ↗
4. Debele, Y., Shi, H., Wondosen, A., Kim, J., and Kang, B. (2022). Multirotor Unmanned Aerial Vehicle Configuration Optimization Approach for Development of Actuator Fault-Tolerant Structure. Appl. Sci., 12.10.3390/app12136781 ↗
5. Okulski, M., and Ławryńczuk, M. (2022). A Small UAV Optimized for Efficient Long-Range and VTOL Missions: An Experimental Tandem-Wing Quadplane Drone. Appl. Sci., 12.10.3390/app12147059 ↗
6. Endale, B., Tullu, A., Shi, H., and Kang, B. (2021). Robust Approach to Supervised Deep Neural Network Training for Real-Time Object Classification in Cluttered Indoor Environment. Appl. Sci., 11.10.3390/app11157148 ↗
7. Alotaibi, S.S., Abdullah Mengash, H., Negm, N., Marzouk, R., Hilal, A., Shamseldin, M., Motwakel, A., Yaseen, I., Rizwanullah, M., and Zamani, A. (2022). Swarm Intelligence with Deep Transfer Learning Driven Aerial Image Classification Model on UAV Networks. Appl. Sci., 12.10.3390/app12136488 ↗
8. Jembre, Y., Nugroho, Y., Khan, M., Attique, M., Paul, R., Shah, S., and Kim, B. (2021). Evaluation of Reinforcement and Deep Learning Algorithms in Controlling Unmanned Aerial Vehicles. Appl. Sci., 11.10.3390/app11167240 ↗
9. Pi, C., Ye, W., and Cheng, S. (2021). Robust Quadrotor Control through Reinforcement Learning with Disturbance Compensation. Appl. Sci., 11.10.3390/app11073257 ↗
10. Jiang, Z., Ge, J., Xu, Q., and Yang, T. (2021). Terminal Distributed Cooperative Guidance Law for Multiple UAVs Based on Consistency Theory. Appl. Sci., 11.10.3390/app11188326 ↗
11. Qiao, R., Xu, G., Cheng, Y., Ye, Z., and Huang, J. (2021). Simulation and Analysis of Grid Formation Method for UAV Clusters Based on the 3×3 Magic Square and the Chain Rules of Visual Reference. Appl. Sci., 11.10.3390/app112311560 ↗
12. Tullu, A., Endale, B., Wondosen, A., and Hwang, H. (2021). Machine Learning Approach to Real-Time 3D Path Planning for Autonomous Navigation of Unmanned Aerial Vehicle. Appl. Sci., 11.10.3390/app11104706 ↗
13. Majeed, A., and Hwang, S. (2021). Path Planning Method for UAVs Based on Constrained Polygonal Space and an Extremely Sparse Waypoint Graph. Appl. Sci., 11.10.3390/app11125340 ↗
14. Gromada, K., and Stecz, W. (2022). Designing a Reliable UAV Architecture Operating in a Real Environment. Appl. Sci., 12.10.3390/app12010294 ↗
15. Capitán, C., Pérez-León, H., Capitán, J., Castaño, Á., and Ollero, A. (2021). Unmanned Aerial Traffic Management System Architecture for U-Space In-Flight Services. Appl. Sci., 11.10.3390/app11093995 ↗
16. Kim, J., and Atkins, E. (2022). Airspace Geofencing and Flight Planning for Low-Altitude, Urban, Small Unmanned Aircraft Systems. Appl. Sci., 12.10.3390/app12020576 ↗
17. Morio, J., Levasseur, B., and Bertrand, S. (2021). Drone Ground Impact Footprints with Importance Sampling: Estimation and Sensitivity Analysis. Appl. Sci., 11.10.3390/app11093871 ↗
18. Guillen-Perez, A., Montoya, A., Sanchez-Aarnoutse, J., and Cano, M. (2021). A Comparative Performance Evaluation of Routing Protocols for Flying Ad-Hoc Networks in Real Conditions. Appl. Sci., 11.10.3390/app11104363 ↗
19. Pierucci, L. (2022). Hybrid Direction of Arrival Precoding for Multiple Unmanned Aerial Vehicles Aided Non-Orthogonal Multiple Access in 6G Networks. Appl. Sci., 12.10.3390/app12020895 ↗
20. Zhang, Y., Huang, X., Lan, Y., Wang, L., Lu, X., Yan, K., Deng, J., and Zeng, W. (2021). Development and Prospect of UAV-Based Aerial Electrostatic Spray Technology in China. Appl. Sci., 11.10.3390/app11094071 ↗