1 |
张良阳, 李占科, 韩海洋. 微型无人机栖息设计技术综述[J]. 航空学报, 2023, 44(12): 027573.
|
|
ZHANG L Y, LI Z K, HAN H Y. A review of perching technology of micro-UAV[J]. Acta Aeronautica et Astronautica Sinica, 2023, 44(12): 027573 (in Chinese).
|
2 |
SONG H Y, YU J C, QIU J T, et al. Multi-UAV disaster environment coverage planning with limited-endurance[C]∥ 2022 International Conference on Robotics and Automation. Piscataway: IEEE Press, 2022: 10760-10766.
|
3 |
ZHU X N. Analysis of military application of UAV swarm technology[C]∥ 2020 3rd International Conference on Unmanned Systems. Piscataway: IEEE Press, 2020: 1200-1204.
|
4 |
SAH B, GUPTA R, BANI-HANI D. Analysis of barriers to implement drone logistics[J]. International Journal of Logistics Research and Applications, 2021, 24(6): 531-550.
|
5 |
MERHEB A R, NOURA H, BATEMAN F. Emergency control of AR drone quadrotor UAV suffering a total loss of one rotor[J]. IEEE/ASME Transactions on Mechatronics, 2017, 22(2): 961-971.
|
6 |
倪静, 马波, 杨朝旭, 等. 视觉/惯性着陆组合引导方法设计与试验[J]. 航空学报, 2023, 44(S1): 727636.
|
|
NI J, MA B, YANG Z X, et al. Design and test of visual-inertial integrated method for landing guidance[J]. Acta Aeronautica et Astronautica Sinica, 2023, 44(S1): 727636 (in Chinese).
|
7 |
SUPRIYONO H, Design AKHARA A., building and performance testing of GPS and computer vision combination for increasing landing precision of quad-copter drone[J]. Journal of Physics: Conference Series, 2021, 1858(1): 012074.
|
8 |
TRUONG N Q, NGUYEN P H, NAM S H, et al. Deep learning-based super-resolution reconstruction and marker detection for drone landing[J]. IEEE Access, 2019, 7: 61639-61655.
|
9 |
NEPAL U, ESLAMIAT H. Comparing YOLOv3, YOLOv4 and YOLOv5 for autonomous landing spot detection in faulty UAVs[J]. Sensors, 2022, 22(2): 464.
|
10 |
唐进, 梁彦刚, 白志会, 等. 基于DQN的旋翼无人机着陆控制算法[J]. 系统工程与电子技术, 2023, 45(5): 1451-1460.
|
|
TANG J, LIANG Y G, BAI Z H, et al. Landing control algorithm of rotor UAV based on DQN[J]. Systems Engineering and Electronics, 2023, 45(5): 1451-1460 (in Chinese).
|
11 |
NIU G C, YANG Q K, GAO Y F, et al. Vision-based autonomous landing for unmanned aerial and ground vehicles cooperative systems[J]. IEEE Robotics and Automation Letters, 2022, 7(3): 6234-6241.
|
12 |
赵燕伟, 张健, 周仙明, 等. 基于视觉-磁引导的无人机动态跟踪与精准着陆[J]. 浙江大学学报(工学版), 2021, 55(1): 96-108.
|
|
ZHAO Y W, ZHANG J, ZHOU X M, et al. Dynamic tracking and precise landing of UAV based on visual magnetic guidance[J]. Journal of Zhejiang University (Engineering Science), 2021, 55(1): 96-108 (in Chinese).
|
13 |
刘晨阳, 吴大伟, 郭一泽, 等. 不确定强耦合下四旋翼姿态鲁棒自适应控制[J]. 航空学报, 2023, 44(S1): 727645.
|
|
LIU C Y, WU D W, GUO Y Z, et al. Robust adaptive attitude control of quadrotor with uncertain strong coupling[J]. Acta Aeronautica et Astronautica Sinica, 2023, 44(S1): 727645 (in Chinese).
|
14 |
KALLWIES J, FORKEL B, WUENSCHE H J. Determining and improving the localization accuracy of AprilTag detection[C]∥ 2020 IEEE International Conference on Robotics and Automation. Piscataway: IEEE Press, 2020: 8288-8294.
|
15 |
KALAITZAKIS M, CAIN B, CARROLL S, et al. Fiducial markers for pose estimation: Overview, applications and experimental comparison of the ARTag, AprilTag, ArUco and STag markers[J]. Journal of Intelligent & Robotic Systems, 2021, 101(4): 1-26.
|
16 |
王羿, 叶辉, 杨晓飞. 基于无源性与势场法的四旋翼避障与位置控制[J]. 航空学报, 2023, 44(S1): 727492.
|
|
WANG Y, YE H, YANG X F. A position control and obstacle avoidance method for quadrotor via approach based on passivity and artificial potential filed[J]. Acta Aeronautica et Astronautica Sinica, 2023, 44(S1): 727492 (in Chinese).
|
17 |
OROZCO-ROSAS U, MONTIEL O, SEPÚLVEDA R. Mobile robot path planning using membrane evolutionary artificial potential field[J]. Applied Soft Computing, 2019, 77: 236-251.
|
18 |
FENG Z K, HUANG M X, WU D, et al. Multi-agent reinforcement learning with policy clipping and average evaluation for UAV-assisted communication Markov game[J]. IEEE Transactions on Intelligent Transportation Systems, 2023, 24(12): 14281-14293.
|
19 |
ROY V. Convergence diagnostics for Markov chain Monte Carlo[J]. Annual Review of Statistics and Its Application, 2020, 7: 387-412.
|
20 |
KALLUS N, UEHARA M. Double reinforcement learning for efficient off-policy evaluation in Markov decision processes[J]. The Journal of Machine Learning Research, 2020, 21(1): 6742-6804.
|
21 |
PARK K, NISHIYAMA M, NAKADA N, et al. Effect of the martensite distribution on the strain hardening and ductile fracture behaviors in dual-phase steel[J]. Materials Science and Engineering: A, 2014, 604: 135-141.
|
22 |
GUSSEV M N, BUSBY J T, BYUN T S, et al. Twinning and martensitic transformations in nickel-enriched 304 austenitic steel during tensile and indentation deformations[J]. Materials Science and Engineering: A, 2013, 588: 299-307.
|
23 |
JUAREZ-SALAZAR R, ZHENG J, DIAZ-RAMIREZ V H. Distorted pinhole camera modeling and calibration[J]. Applied Optics, 2020, 59(36): 11310-11318.
|
24 |
RODRIGUEZ-RAMOS A, SAMPEDRO C, BAVLE H, et al. A deep reinforcement learning strategy for UAV autonomous landing on a moving platform[J]. Journal of Intelligent & Robotic Systems, 2019, 93(1/2): 351-366.
|
25 |
BADAKIS G, KOUTSOUBELIAS M, LALIS S. Robust precision landing for autonomous drones combining vision-based and infrared sensors[C]∥ 2021 IEEE Sensors Applications Symposium. Piscataway: IEEE Press, 2021: 1-6.
|
26 |
LI Z, CHEN Y, LU H, et al. UAV autonomous landing technology based on AprilTags vision positioning algorithm[C]∥ 2019 Chinese Control Conference. Piscataway: IEEE Press, 2019: 8148-8153.
|