- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
Aircraft landing using dynamic 2D image-based guidance control
摘要： This work proposes a 2D image-based controller to automatically steer a fixed-wing Unmanned Aerial Vehicle (UAV) during the first three stages of landing: alignment, glide-slope, and flare. Observable image features of the runway and its textured ground are exploited to derive a feedback controller for the automatic maneuver. The proposed controller ensures the horizontal position alignment and a smooth touchdown of the aircraft without estimating the height above the runway. In addition, the 2D image-based control structure adopted also enforces wind disturbance rejection, without the need for an explicit wind estimator. Simulation results are presented to illustrate the performance of the controller.
关键词： automatic landing,optical flow,fixed-wing unmanned aerial vehicle,2D image-based feedback control
更新于2025-09-10 09:29:36
-
Development of Intelligent Drone Battery Charging System Based on Wireless Power Transmission Using Hill Climbing Algorithm
摘要： In this work, an advanced drone battery charging system is developed. The system is composed of a drone charging station with multiple power transmitters and a receiver to charge the battery of a drone. A resonance inductive coupling-based wireless power transmission technique is used. With limits of wireless power transmission in inductive coupling, it is necessary that the coupling between a transmitter and receiver be strong for efficient power transmission; however, for a drone, it is normally hard to land it properly on a charging station or a charging device to get maximum coupling for efficient wireless power transmission. Normally, some physical sensors such as ultrasonic sensors and infrared sensors are used to align the transmitter and receiver for proper coupling and wireless power transmission; however, in this system, a novel method based on the hill climbing algorithm is proposed to control the coupling between the transmitter and a receiver without using any physical sensor. The feasibility of the proposed algorithm was checked using MATLAB. A practical test bench was developed for the system and several experiments were conducted under different scenarios. The system is fully automatic and gives 98.8% accuracy (achieved under different test scenarios) for mitigating the poor landing effect. Also, the efficiency η of 85% is achieved for wireless power transmission. The test results show that the proposed drone battery charging system is efficient enough to mitigate the coupling effect caused by the poor landing of the drone, with the possibility to land freely on the charging station without the worry of power transmission loss.
关键词： hill climbing,drone station,unmanned aerial vehicle,wireless power transfer,automatic charging station
更新于2025-09-10 09:29:36
-
[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - GPU Acceleration of UAV Image Splicing Using Oriented Fast and Rotated Brief Combined with PCA
摘要： In this study, an accelerating method of oriented FAST and rotated BRIEF combined with principal component analysis (ORB/PCA) is proposed for splicing detection of unmanned aerial vehicle (UAV) images. Compared to traditional scale-invariant feature transform (SIFT) and speeded up robust features (SURF) methods, the proposed ORB/PCA can not only be faster but also produce more accurate. Moreover, in order for the proposed ORB to be effective for image stitching process in near real-time, the Compute Unified Device Architecture (CUDA) application programming interface of graphics processing unit (GPU) is cooperated to speed up the proposed method. Experimental results show that the proposed GPU based ORB/PCA framework is suitable for splicing detection of UAV images in Earth remote sensing. It can improve the image stitching process both in time and accuracy compared to conventional methods.
关键词： oriented FAST and rotated BRIEF (ORB),principal component analysis (PCA),unmanned aerial vehicle (UAV),graphics processing unit (GPU)
更新于2025-09-09 09:28:46
-
[IEEE 2017 36th Chinese Control Conference (CCC) - Dalian, China (2017.7.26-2017.7.28)] 2017 36th Chinese Control Conference (CCC) - Reinitializable and scale-consistent visual navigation for UAVs
摘要： In this paper, a visual navigation system is implemented to control a UAV in unknown and GPS-denied environments, using a monocular camera. The navigation system is based on the Semi-direct Visual Odometry algorithm, whose absolute scale is estimated by fusing visual output with altitude measurements. The main contribution of the paper is the recovery mechanisms to reinitialize the visual map when failure occurs, including a pose estimation scheme for temporary vehicle control, and a method to correct the visual scale of the new map without the aid of other sensors. Outdoor ?ight experiments are conducted on a quadrotor, and the experimental results verify the effectiveness of the proposed recovery mechanisms.
关键词： scale estimation,reinitialization,unmanned aerial vehicle,Visual navigation
更新于2025-09-09 09:28:46
-
[IEEE 2018 XIV International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE) - Novosibirsk, Russia (2018.10.2-2018.10.6)] 2018 XIV International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE) - Modern Tendencies in the Development of Airborne Synthesized Aperture Radars for Remote Sensing of the Earth
摘要： The article is an overview of the development trends of aviation synthetic aperture radars, including information on new systems created in the world and Russia. It describes main technical features of the prospective radar and tasks to be solved for them.
关键词： unmanned aerial vehicle,remote sensing,light aircraft,airborne micro navigation system,Synthetic aperture radar,high resolution radar
更新于2025-09-09 09:28:46
-
[IEEE 2018 Innovations in Intelligent Systems and Applications Conference (ASYU) - Adana, Turkey (2018.10.4-2018.10.6)] 2018 Innovations in Intelligent Systems and Applications Conference (ASYU) - Image Classification of Aerial Images Using CNN-SVM
摘要： Image classification is a very easy task for humans. Even a three years old child can classify an image instantly and without any doubt. However, teaching computers classifying images has been a working area for researchers for a long time because of the intrinsic difficulties of the task for computers. With the rise of deep learning, it has been possible to get better classification performance than before. In this work, we evaluated the performance of convolutional neural network combined with support vector machine for classifying aerial images based on presence of a vehicle.
关键词： unmanned aerial vehicle,vehicle detection,convolutional neural networks,aerial image,Support vector machines,image classification
更新于2025-09-04 15:30:14
-
Unmanned Aerial Vehicle Recognition Based on Clustering by Fast Search and Find of Density Peaks (CFSFDP) with Polarimetric Decomposition
摘要： Unmanned aerial vehicles (UAV) have become vital targets in civilian and military fields. However, the polarization characteristics are rarely studied. This paper studies the polarization property of UAVs via the fusion of three polarimetric decomposition methods. A novel algorithm is presented to classify and recognize UAVs automatically which includes a clustering method proposed in "Science", one of the top journals in academia. Firstly, the selection of the imaging algorithm ensures the quality of the radar images. Secondly, local geometrical structures of UAVs can be extracted based on Pauli, Krogager, and Cameron polarimetric decomposition. Finally, the proposed algorithm with clustering by fast search and find of density peaks (CFSFDP) has been demonstrated to be better than the original methods under the various noise conditions with the fusion of three polarimetric decomposition methods.
关键词： synthetic aperture radar (SAR),unmanned aerial vehicle,inverse synthetic aperture radar (ISAR),man-made targets,clustering methods,polarimetric decomposition
更新于2025-09-04 15:30:14
-
Remote Sensing Is Changing Our View of the Coast: Insights from 40 Years of Monitoring at Narrabeen-Collaroy, Australia
摘要： Narrabeen-Collaroy Beach, located on the Northern Beaches of Sydney along the Pacific coast of southeast Australia, is one of the longest continuously monitored beaches in the world. This paper provides an overview of the evolution and international scientific impact of this long-term beach monitoring program, from its humble beginnings over 40 years ago using the rod and tape measure Emery field survey method; to today, where the application of remote sensing data collection including drones, satellites and crowd-sourced smartphone images, are now core aspects of this continuing and much expanded monitoring effort. Commenced in 1976, surveying at this beach for the first 30 years focused on in-situ methods, whereby the growing database of monthly beach profile surveys informed the coastal science community about fundamental processes such as beach state evolution and the role of cross-shore and alongshore sediment transport in embayment morphodynamics. In the mid-2000s, continuous (hourly) video-based monitoring was the first application of routine remote sensing at the site, providing much greater spatial and temporal resolution over the traditional monthly surveys. This implementation of video as the first of a now rapidly expanding range of remote sensing tools and techniques also facilitated much wider access by the international research community to the continuing data collection program at Narrabeen-Collaroy. In the past decade the video-based data streams have formed the basis of deeper understanding into storm to multi-year response of the shoreline to changing wave conditions and also contributed to progress in the understanding of estuary entrance dynamics. More recently, ‘opportunistic’ remote sensing platforms such as surf cameras and smartphones have also been used for image-based shoreline data collection. Commencing in 2011, a significant new focus for the Narrabeen-Collaroy monitoring program shifted to include airborne lidar (and later Unmanned Aerial Vehicles (UAVs)), in an enhanced effort to quantify the morphological impacts of individual storm events, understand key drivers of erosion, and the placing of these observations within their broader regional context. A fixed continuous scanning lidar installed in 2014 again improved the spatial and temporal resolution of the remote-sensed data collection, providing new insight into swash dynamics and the often-overlooked processes of post-storm beach recovery. The use of satellite data that is now readily available to all coastal researchers via Google Earth Engine continues to expand the routine data collection program and provide key insight into multi-decadal shoreline variability. As new and expanding remote sensing technologies continue to emerge, a key lesson from the long-term monitoring at Narrabeen-Collaroy is the importance of a regular re-evaluation of what data is most needed to progress the science.
关键词： Argus,CoastSnap,Google Earth Engine,surfcams,Unmanned Aerial Vehicle,coastal imaging,lidar,RTK-GPS surveys
更新于2025-09-04 15:30:14
-
[IEEE 2018 International Conference on Information Systems and Computer Science (INCISCOS) - Quito, Ecuador (2018.11.13-2018.11.15)] 2018 International Conference on Information Systems and Computer Science (INCISCOS) - Energy Management of a Solar-Battery Powered Fixed-Wing UAV
摘要： In this work, a hybrid solar-battery feeding system is proposed to achieve a constant output power on a fixed-wing Unmanned Aerial Vehicle-UAV. Firstly, a single and hybrid power source configurations for long endurance UAV applications are exposed. Thus, a solar-battery based feeding system with a suitable energy management is proposed. Furthermore, a Maximum Power Point Tracking (MPPT) technique is selected to achieve the maximum efficiency of the solar photovoltaic (PV) array. Besides, Sliding-Mode Control (SMC) is implemented on a cascade control scheme in order to achieve a suitable energy conversion. Finally, the hybrid feeding system performance is analyzed for different solar radiation and load profiles remarking proper dynamic and steady-state responses.
关键词： unmanned aerial vehicle,maximum power point tracking,fixed-wing,sliding-mode control,Energy management,photovoltaic system
更新于2025-09-04 15:30:14