15.3.3.8.1 Aircraft Landings, Spacecraft Landing

Chapter Contents (Back)
Airplane. Landing. Spacecraft.
See also Airplane Obstacles, Collision Detection, Sense and Avoid.
See also Air Traffic Controls, Runways, Aircraft.

Juang, J.G., Cheng, K.C.,
Application of Neural Networks to Disturbances Encountered Landing Control,
ITS(7), No. 4, December 2006, pp. 582-588.
IEEE DOI 0701
BibRef

Johnson, A.[Andrew], Willson, R.[Reg], Cheng, Y.[Yang], Goguen, J.[Jay], Leger, C.[Chris], Sanmartin, M.[Miguel], Matthies, L.H.[Larry H.],
Design Through Operation of an Image-Based Velocity Estimation System for Mars Landing,
IJCV(74), No. 3, September 2007, pp. 319-341.
Springer DOI 0707
BibRef

Xu, G.L.[Gui-Li], Zhang, Y.[Yong], Ji, S.Y.[Sheng-Yu], Cheng, Y.H.[Yue-Hua], Tian, Y.P.[Yu-Peng],
Research on computer vision-based for UAV autonomous landing on a ship,
PRL(30), No. 6, 15 April 2009, pp. 600-605.
Elsevier DOI 0903
UAV; Autonomous landing; Affine moment invariants BibRef

Meng, C.[Cai], Zhou, N.[Na], Xue, X.L.[Xiao-Liang], Jia, Y.[Yang],
Homography-based depth recovery with descent images,
MVA(24), No. 5, July 2013, pp. 1093-1106.
Springer DOI 1306
Planatary landing. BibRef

Patterson, T.[Timothy], McClean, S.[Sally], Morrow, P.[Philip], Parr, G.[Gerard], Luo, C.[Chunbo],
Timely autonomous identification of UAV safe landing zones,
IVC(32), No. 9, 2014, pp. 568-578.
Elsevier DOI 1408
UAV safe landing zone detection BibRef

Lin, C.M.[Chih-Min], Boldbaatar, E.A.,
Autolanding Control Using Recurrent Wavelet Elman Neural Network,
SMCS(45), No. 9, September 2015, pp. 1281-1291.
IEEE DOI 1509
Lyapunov methods BibRef

Yang, T.[Tao], Ren, Q.A.[Qi-Ang], Zhang, F.B.[Fang-Bing], Xie, B.L.[Bo-Lin], Ren, H.[Hailei], Li, J.[Jing], Zhang, Y.N.[Yan-Ning],
Hybrid Camera Array-Based UAV Auto-Landing on Moving UGV in GPS-Denied Environment,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Lee, J., Pullen, S., Datta-Barua, S., Lee, J.,
Real-Time Ionospheric Threat Adaptation Using a Space Weather Prediction for GNSS-Based Aircraft Landing Systems,
ITS(18), No. 7, July 2017, pp. 1752-1761.
IEEE DOI 1706
Adaptation models, Aircraft, Predictive models, Real-time systems, Storms, Weather forecasting, Automatic aircraft landing, ground based augmentation systems (GBAS), next-generation air transportation system (NextGen), real time ionospheric threat adaptation, space, weather, prediction BibRef

Kolosov, K.[Kirill], Miller, A.[Alexander], Miller, B.[Boris],
Robust Data Fusion of UAV Navigation Measurements with Application to the Landing System,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Loureiro, G.[Gabriel], Dias, A.[André], Martins, A.[Alfredo], Almeida, J.[José],
Emergency Landing Spot Detection Algorithm for Unmanned Aerial Vehicles,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Kang, Z.W.[Zong-Wei], Shang, J.X.[Jia-Xing], Feng, Y.[Yong], Zheng, L.J.[Lin-Jiang], Wang, Q.X.[Qi-Xing], Sun, H.[Hong], Qiang, B.H.[Bao-Hua], Liu, Z.[Zhen],
A deep sequence-to-sequence method for accurate long landing prediction based on flight data,
IET-ITS(15), No. 8, 2021, pp. 1028-1042.
DOI Link 2107
prevent runway overrun. BibRef

Zhou, Z.Y.[Zhen-Yu], Chen, J.[Jun], Liu, Y.C.[Yan-Chao],
Optimized Landing of Drones in the Context of Congested Air Traffic and Limited Vertiports,
ITS(22), No. 9, September 2021, pp. 6007-6017.
IEEE DOI 2109
Drones, Atmospheric modeling, Routing, Safety, Optimization, Numerical models, Integer programming, mixed integer programming BibRef

Yang, P.[Peng], Huang, Y.[Yong], Li, P.[Peijia], Liu, S.[Siyu], Shan, Q.[Quan], Zheng, W.M.[Wei-Min],
Trajectory Determination of Chang'E-5 during Landing and Ascending,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Kakaletsis, E.[Efstratios], Symeonidis, C.[Charalampos], Tzelepi, M.[Maria], Mademlis, I.[Ioannis], Tefas, A.[Anastasios], Nikolaidis, N.[Nikos], Pitas, I.[Ioannis],
Computer Vision for Autonomous UAV Flight Safety: An Overview and a Vision-Based Safe Landing Pipeline Example,
Surveys(54), No. 9, October 2021, pp. xx-yy.
DOI Link 2112
landing site detection, path planning, UAV flight Safety, obstacle avoidance, crowd/person detection, semantic mapping BibRef

Huang, Y.T.[Yan-Ting], Zhu, M.[Ming], Zheng, Z.W.[Ze-Wei], Low, K.H.[Kin Huat],
Linear Velocity-Free Visual Servoing Control for Unmanned Helicopter Landing on a Ship With Visibility Constraint,
SMCS(52), No. 5, May 2022, pp. 2979-2993.
IEEE DOI 2205
Marine vehicles, Helicopters, Visualization, Visual servoing, Velocity measurement, Optical variables measurement, Cameras, visual servoing BibRef

Wu, D.[Dong], Zhu, H.[Hang], Lan, Y.[Yubin],
A Method for Designated Target Anti-Interference Tracking Combining YOLOv5 and SiamRPN for UAV Tracking and Landing Control,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Veneruso, P.[Paolo], Opromolla, R.[Roberto], Tiana, C.[Carlo], Gentile, G.[Giacomo], Fasano, G.[Giancarmine],
Sensing Requirements and Vision-Aided Navigation Algorithms for Vertical Landing in Good and Low Visibility UAM Scenarios,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Buelta, A.[Almudena], Olivares, A.[Alberto], Staffetti, E.[Ernesto],
Iterative Learning Control for Precise Aircraft Trajectory Tracking in Continuous Climb and Descent Operations,
ITS(23), No. 8, August 2022, pp. 10481-10491.
IEEE DOI 2208
Aircraft, Aerospace control, Trajectory, Trajectory tracking, Atmospheric modeling, Adaptive control, Mathematical model, trajectory based operations BibRef

Zhang, Q.[Qilei], Mott, J.H.[John H.], Johnson, M.E.[Mary E.], Springer, J.A.[John A.],
Development of a Reliable Method for General Aviation Flight Phase Identification,
ITS(23), No. 8, August 2022, pp. 11729-11738.
IEEE DOI 2208
Aircraft, Airports, Atmospheric modeling, Reliability, Data models, Trajectory, Machine learning, ADS-B, flight identification, TICC, machine learning BibRef

Li, X.[Xu], Shang, J.X.[Jia-Xing], Zheng, L.J.[Lin-Jiang], Wang, Q.X.[Qi-Xing], Sun, H.[Hong], Qi, L.[Lin],
CurveCluster+: Curve Clustering for Hard Landing Pattern Recognition and Risk Evaluation Based on Flight Data,
ITS(23), No. 8, August 2022, pp. 12811-12821.
IEEE DOI 2208
Safety, Feature extraction, Predictive models, Interpolation, Data models, Psychology, Neural networks, Hard landing, QAR data, interpretability BibRef

Kong, Y.X.[Ying-Xiao], Zhang, X.[Xiaoge], Mahadevan, S.[Sankaran],
Bayesian Deep Learning for Aircraft Hard Landing Safety Assessment,
ITS(23), No. 10, October 2022, pp. 17062-17076.
IEEE DOI 2210
Predictive models, Atmospheric modeling, Accidents, Data models, Bayes methods, Safety, Airports, Landing safety, aviation safety BibRef

Zhao, Y.[Yong], Yang, T.[Tao], Yue, H.H.[Hong-Hao], Yang, X.Z.[Xiao-Ze], Bai, D.[Dong], Yang, F.[Fei],
Design and Analysis of a New Deployable Docking Mechanism for Microsatellites,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Zhong, W.H.[Wen-Hao], Jiang, J.[Jie], Ma, Y.[Yan],
L2AMF-Net: An L2-Normed Attention and Multi-Scale Fusion Network for Lunar Image Patch Matching,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
Entry, descent and landing (EDL) systems for position estimation and navigation of spacecraft. BibRef

Zewge, N.S.[Natnael S.], Bang, H.[Hyochoong],
A Distributionally Robust Fusion Framework for Autonomous Multisensor Spacecraft Navigation during Entry Phase of Mars Entry, Descent, and Landing,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Shen, K.[Kai], Liu, T.X.[Ting-Xin], Li, Y.[Yuelun], Liu, N.[Ning], Qi, W.H.[Wen-Hao],
Robust Multi-Model Estimation for Reliable Relative Navigation Based on Observability and Abnormity Analysis,
ITS(24), No. 5, May 2023, pp. 5144-5158.
IEEE DOI 2305
Satellites, Global navigation satellite system, Estimation, Observability, Kalman filters, Sensors, Receivers, information allocation BibRef

Hu, Q.L.[Qing-Lei], Chi, B.[Biru],
Spacecraft Rendezvous and Docking Using the Explicit Reference Governor Approach,
SMCS(53), No. 7, July 2023, pp. 4131-4141.
IEEE DOI 2307
Space vehicles, Trajectory, Collision avoidance, Orbits, Mathematical models, Aerospace electronics, Navigation, rendezvous and docking BibRef

Chen, H.D.[Hao-Dong], Shang, J.X.[Jia-Xing], Zheng, L.[Linjiang], Li, X.[Xu], Liu, X.D.[Xiao-Dong], Sun, H.[Hong], Zhao, X.[Xinbin], Yu, L.[Liling],
SDTAN: Scalable Deep Time-Aware Attention Network for Interpretable Hard Landing Prediction,
ITS(24), No. 9, September 2023, pp. 10211-10223.
IEEE DOI 2310
BibRef

Lei, Y.[Yu], Qin, R.[Rui], Li, Q.[Quan], Chen, D.L.[Da-Liang],
TLOF final approach methodology proposal utilizing dual landing pads,
IET-ITS(17), No. 10, 2023, pp. 2052-2062.
DOI Link 2310
air traffic, air traffic control, air transportation, intelligent transportation systems, traffic management and control BibRef


Mofle, T.C.[Theodore C.], Choi, I.[Inchul], Kratchounova, D.[Daniela], Hesselroth, J.[Jeremy], Stevenson, S.[Scott],
Methods of Visualizing Landing Performance in Low-visibility ILS Approaches (preliminary Findings),
VAMR23(539-548).
Springer DOI 2307
BibRef

McLeod, S.[Sofia], Meoni, G.[Gabriele], Izzo, D.[Dario], Mergy, A.[Anne], Liu, D.Q.[Da-Qi], Latif, Y.[Yasir], Reid, I.D.[Ian D.], Chin, T.J.[Tat-Jun],
Globally Optimal Event-Based Divergence Estimation for Ventral Landing,
AI4Space22(3-20).
Springer DOI 2304
BibRef

Abdollahzadeh, S.[Sakineh], Proulx, P.L.[Pier-Luc], Allili, M.S.[Mohand Said], Lapointe, J.F.[Jean-François],
Safe Landing Zones Detection for UAVs Using Deep Regression,
CRV22(213-218)
IEEE DOI 2301
Image segmentation, Navigation, Urban areas, Semantics, Vision sensors, Predictive models, Automatic UAV navigation, deep regression BibRef

Ciabatti, G.[Giulia], Daftry, S.[Shreyansh], Capobianco, R.[Roberto],
Autonomous Planetary Landing via Deep Reinforcement Learning and Transfer Learning,
AI4Space21(2031-2038)
IEEE DOI 2109
Training, Adaptation models, Solid modeling, Transfer learning, Data models BibRef

Sikorski, O.[Olaf], Izzo, D.[Dario], Meoni, G.[Gabriele],
Event-based spacecraft landing using time-to-contact,
AI4Space21(1941-1950)
IEEE DOI 2109
Space vehicles, Space missions, Computational modeling, Sensors, Safety BibRef

Sikdar, A.[Arindam], Sahu, A.[Abhimanyu], Sen, D.[Debajit], Mahajan, R.[Rohit], Chowdhury, A.S.[Ananda S.],
Unconstrained Vision Guided UAV Based Safe Helicopter Landing,
ICPR21(8328-8335)
IEEE DOI 2105
Tracking, Clustering methods, Helicopters, Pipelines, Clustering algorithms, Cameras, aerial video dataset BibRef

Kuo, C.T., Tien, Y.T., Chiang, K.W.,
Visual-based Integrated Navigation System Applied to A Simulation Of Lunar Module Landing,
ISPRS20(B1:305-313).
DOI Link 2012
BibRef

Blachut, K.[Krzysztof], Szolc, H.[Hubert], Wasala, M.[Mateusz], Kryjak, T.[Tomasz], Gorgon, M.[Marek],
A Vision Based Hardware-Software Real-time Control System for the Autonomous Landing of an UAV,
ICCVG20(13-24).
Springer DOI 2009
BibRef

Cabrera-Ponce, A.A., Martinez-Carranza, J.,
Onboard CNN-based Processing for Target Detection and Autonomous Landing for MAVs,
MCPR20(195-208).
Springer DOI 2007
BibRef

Landry, S.J.[Steven J.], Bulikhov, D.[Denys], Zhang, Z.X.[Zi-Xu], Mińana, C.F.[Carlos F.],
Examining Error Likelihood When Using Enhanced Vision Systems for Approach and Landing,
VAMR19(II:529-535).
Springer DOI 1909
BibRef

Fraczek, P.[Patryk], Mora, A.[Andre], Kryjak, T.[Tomasz],
Embedded Vision System for Automated Drone Landing Site Detection,
ICCVG18(397-409).
Springer DOI 1810
BibRef

Bazán, E.[Eric], Dokládal, P.[Petr], Dokládalová, E.[Eva],
Unsupervised Perception Model for UAVs Landing Target Detection and Recognition,
ACIVS18(233-244).
Springer DOI 1810
BibRef

Nowak, E., Gupta, K., Najjaran, H.,
Development of a Plug-and-Play Infrared Landing System for Multirotor Unmanned Aerial Vehicles,
CRV17(256-260)
IEEE DOI 1804
autonomous aerial vehicles, cameras, infrared imaging, position control, robot vision, rotors, IR sources, UAV localization, visual servoing BibRef

Battiato, S.[Sebastiano], Cantelli, L.[Luciano], d'Urso, F.[Fabio], Farinella, G.M.[Giovanni Maria], Guarnera, L.[Luca], Guastella, D.[Dario], Melita, C.D.[Carmelo Donato], Muscato, G.[Giovanni], Ortis, A.[Alessandro], Ragusa, F.[Francesco], Santoro, C.[Corrado],
A System for Autonomous Landing of a UAV on a Moving Vehicle,
CIAP17(I:129-139).
Springer DOI 1711
BibRef

Lungu, M., Lungu, R., Preotu, O.,
Estimation of aircraft state during landing by means of multiple observers,
WSSIP16(1-4)
IEEE DOI 1608
Lyapunov methods BibRef

Dotenco, S.[Sergiu], Gallwitz, F.[Florian], Angelopoulou, E.[Elli],
Autonomous Approach and Landing for a Low-Cost Quadrotor Using Monocular Cameras,
CVVT14(209-222).
Springer DOI 1504
BibRef

Ling, K.[Kevin], Chow, D.[Derek], Das, A.[Arun], Waslander, S.L.[Steven L.],
Autonomous Maritime Landings for Low-Cost VTOL Aerial Vehicles,
CRV14(32-39)
IEEE DOI 1406
Cameras BibRef

Navya, M.K.K.[Mohan K.K.], Wilscy, M.,
Object ranging and tracking for aircraft landing system,
ICSIPR13(278-282).
IEEE DOI 1304
BibRef

Zhang, D.B.[Dai-Bing], Wang, X.[Xun], Kong, W.W.[Wei-Wei],
Autonomous control of running takeoff and landing for a fixed-wing unmanned aerial vehicle,
ICARCV12(990-994).
IEEE DOI 1304
BibRef

Lanza, P.[Piergiorgio], Noceti, N.[Nicoletta], Maddaleno, C.[Corrado], Toma, A.[Antonio], Zini, L.[Luca], Odone, F.[Francesca],
A Vision-Based Navigation Facility for Planetary Entry Descent Landing,
CVVT12(II: 546-555).
Springer DOI 1210
BibRef

Doehler, H.U.[Hans-Ullrich], Peinecke, N.[Niklas],
Image-Based Drift and Height Estimation for Helicopter Landings in Brownout,
ICIAR10(II: 366-377).
Springer DOI 1006
BibRef

Wang, G.L.[Guan-Lin], Shi, H.Q.[Hai-Qing], Wang, H.[Hong], Zhu, J.H.[Ji-Hong],
Vision System for an Unmanned Helicopter Landing in Complex Environment,
CISP09(1-5).
IEEE DOI 0910
BibRef

Bagen, W.L.[Wu-Lan], Hu, J.Z.[Ji-Zhong], Xu, Y.M.[Yuan-Ming],
A Vision-Based Unmanned Helicopter Ship Board Landing System,
CISP09(1-5).
IEEE DOI 0910
BibRef

Hubbard, D.[David], Morse, B.[Bryan], Theodore, C.[Colin], Tischler, M.[Mark], McLain, T.[Timothy],
Performance Evaluation of Vision-Based Navigation and Landing on a Rotorcraft Unmanned Aerial Vehicle,
WACV07(5-5).
IEEE DOI 0702
BibRef

Tsai, A.C.[Allen C.], Gibbens, P.W.[Peter W.], Stone, R.H.[R. Hugh],
Terminal Phase Vision-Based Target Recognition and 3D Pose Estimation for a Tail-Sitter, Vertical Takeoff and Landing Unmanned Air Vehicle,
PSIVT06(672-681).
Springer DOI 0612
BibRef

Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Road Signs, Traffic Signs .


Last update:Mar 16, 2024 at 20:36:19