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FBAM:A Frequency-Based Attention Mechanism for Enhanced Image-Based Malware Detection 认领 引用
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作者 Anis Elgarduh Anazida Zainal +3 位作者 Fuad A.Ghaleb Sultan Noman Qasem Abdullah M.Albarrak Faisal Saeed 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第6期1427-1451,共25页
The rapid growth and increasing sophistication of malware pose significant challenges to traditional detection methods.Convolutional neural network(CNN)-based malware image classification methods have emerged as a pro... The rapid growth and increasing sophistication of malware pose significant challenges to traditional detection methods.Convolutional neural network(CNN)-based malware image classification methods have emerged as a promising approach by transforming binary files into visual representations and enabling automated feature extraction.To enhance discriminative learning,recent studies have incorporated attention mechanisms originally developed for natural image and natural language processing tasks.However,these mechanisms embed inductive biases that assume spatial coherence and visually salient semantics,assumptions that do not necessarily hold in malware image representations,where informative patterns may be subtle,structurally encoded,and globally distributed.To address this representation-mechanism misalignment,this study proposes a Frequency-Based Attention Mechanism(FBAM),a domain-aware module that introduces a frequency-based feature transformation prior to attention computation.By converting feature maps into distribution-aware representations,FBAM enables spatial and channel attention to be guided by statistical feature distributions rather than raw activation magnitudes,allowing more effective capture of malware-specific patterns.FBAM was embedded into seven CNN architectures and evaluated on a dataset comprising 18,060 Windows Portable Executable(PE)files,including both malware and benign samples.Comprehensive experiments were conducted against general-purpose attention modules,including SE,CBAM,and CA,as well as the domain-specific SACNN model.Results show improved performance across accuracy,precision,recall,and F1-score,with statistical analysis indicating significant gains in most cases.VGGl6 and VGGl9 augmented with FBAM achieved accuracies of 98.82%and 98.38%,respectively,outperforming baseline architectures and competing attention mechanisms.These findings provide strong empirical evidence that incorporating distribution-aware frequency information into attention design enhances discriminative feature learning in image-based malware detection. 展开更多
关键词 Malware detection image-based malware classification convolutional neural networks deep learning attention mechanisms
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CardioMix:a multimodal image-based classification pipeline for enhanced ECG diagnosis 认领 引用
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作者 Kira Sam Shah Nawaz Raja Vavekanand 《Medical Data Mining》 CAS 2025年第1期50-55,共6页
Background:Irregular heartbeats can have serious health implications if left undetected and untreated for an extended period of time.Methods:This study leverages machine learning(ML)techniques to classify electrocardi... Background:Irregular heartbeats can have serious health implications if left undetected and untreated for an extended period of time.Methods:This study leverages machine learning(ML)techniques to classify electrocardiogram(ECG)heartbeats,comparing traditional feature-based ML methods with innovative image-based approaches.The dataset underwent rigorous preprocessing,including down-sampling,frequency filtering,beat segmentation,and normalization.Two methodologies were explored:(1)handcrafted feature extraction,utilizing metrics like heart rate variability and RR distances with LightGBM classifiers,and(2)image transformation of ECG signals using Gramian Angular Field(GAF),Markov Transition Field(MTF),and Recurrence Plot(RP),enabling multimodal input for convolutional neural networks(CNNs).The Synthetic Minority Oversampling Technique(SMOTE)addressed data imbalance,significantly improving minority-class metrics.Results:The handcrafted feature approach achieved notable performance,with LightGBM excelling in precision and recall.Image-based classification further enhanced outcomes,with a custom Inception-based CNN,attaining an 85%F1 score and 97%accuracy using combined GAF,MTF,and RP transformations.Statistical analyses confirmed the significance of these improvements.Conclusion:This work highlights the potential of ML for cardiac irregularities detection,demonstrating that combining advanced preprocessing,feature engineering,and state-of-the-art neural networks can improve classification accuracy.These findings contribute to advancing AI-driven diagnostic tools,offering promising implications for cardiovascular healthcare. 展开更多
关键词 irregular heartbeats ECG signals multimodal image-based classifications
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A review on image-based rendering 认领 引用 被引量：1
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作者 Yuan CHANG Guo-Ping WANG 《虚拟现实与智能硬件（中英文）》 EI 2019年第1期39-54,共16页
Image-based rendering is important both in the field of computer graphics and computer vision,and it is also widely used in virtual reality technology.For more than two decades,people have done a lot of work on the re... Image-based rendering is important both in the field of computer graphics and computer vision,and it is also widely used in virtual reality technology.For more than two decades,people have done a lot of work on the research of image-based rendering,and these methods can be divided into two categories according to whether the geometric information of the scene is utilized.According to this classification,we introduce some classical methods and representative methods proposed in recent years.We also compare and analyze the basic principles,advantages and disadvantages of different methods.Finally,some suggestions are given for research directions on image-based rendering techniques in the future. 展开更多
关键词 Image-based rendering Virtual reality Image interpolation Panorama
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Three Dimensional Microstructure and Image-Based Simulation of a Fly Ash/Al Syntactic Foam Using X-ray Micro-Computed Tomography 认领 引用
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作者 张强 WU Gaohui 《Journal of Wuhan University of Technology(Materials Science)》 SCIE EI CAS 2013年第1期99-103,共5页
An aluminum matrix syntactic foam, incorporated with hollow-structured fly ash particles, was fabricated by pressure infiltration technique. X-ray micro-computed tomography was used to characterize its heterogeneous m... An aluminum matrix syntactic foam, incorporated with hollow-structured fly ash particles, was fabricated by pressure infiltration technique. X-ray micro-computed tomography was used to characterize its heterogeneous microstructure three dimensionally （3D）. The quantification of some microstructure features, such as content and size distribution of hollow fly ash particles, was acquired in 3D. The tomographic data were exploited as a rapid method to generate a microstructurally accurate and robust 3D meshed model. The thermal transport behavior has been modeled using a commercial finite-element code to conduct steady state analyses. Simulation of the thermal conductivity showed good correlation with experimental result. 展开更多
关键词 fly ash syntactic foam tomography microstructure image-based simulation
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Robust image-based coordinated control for spacecraft formation flying 认领 引用 被引量：6
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作者 Dayong HU Xiangtian ZHAO Shijie ZHANG 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2022年第9期268-281,共14页
This paper addresses a coordinated control problem for Spacecraft Formation Flying(SFF). The distributed followers are required to track and synchronize with the leader spacecraft.By using the feature points in the tw... This paper addresses a coordinated control problem for Spacecraft Formation Flying(SFF). The distributed followers are required to track and synchronize with the leader spacecraft.By using the feature points in the two-dimensional image space, an integrated 6-degree-of-freedom dynamic model is formulated for spacecraft relative motion. Without sophisticated threedimensional reconstruction, image features are directly utilized for the controller design. The proposed image-based controller can drive the follower spacecraft in the desired configuration with respect to the leader when the real-time captured images match their reference counterparts. To improve the precision of the formation configuration, the proposed controller employs a coordinated term to reduce the relative distance errors between followers. The uncertainties in the system dynamics are handled by integrating the adaptive technique into the controller, which increases the robustness of the SFF system. The closed-loop system stability is analyzed using the Lyapunov method and algebraic graph theory. A numerical simulation for a given SFF scenario is performed to evaluate the performance of the controller. 展开更多
关键词 Algebraic graph theory Coordinated control Image-based visual servoing Robust control Spacecraft formation flying
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Image-Based Brachytherapy in Cervical Cancer: Review and Experiences in Faculty of Medicine, Chiang Mai University 认领 引用 被引量：2
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作者 Ekkasit Tharavichitkul Somvilai Chakrabandhu +2 位作者 Pitchayaponne Klunklin Wimrak Onchan Imjai Chitapanarux 《Journal of Cancer Therapy》 2013年第5期1-7,共7页
Cervical cancer is the one of the most common cancer in female patients inThailand. Radiotherapy has the role for the treatment of cervical cancer by postoperative, radical and palliative treatments. For radical radio... Cervical cancer is the one of the most common cancer in female patients inThailand. Radiotherapy has the role for the treatment of cervical cancer by postoperative, radical and palliative treatments. For radical radiotherapy, the combination of external beam radiation therapy and brachytherapy will be used to increase the tumor dose to curative goal. With the new development of medical images (Computed tomography (CT), Magnetic Resonance Imaging (MRI) or Ultrasonography (US)), the treatment with brachytherapy will be developed from point-based to volume-based concepts. Many studies reported the benefit of image-based brachytherapy over conventional brachytherapy and clinical benefit of using image-based brachytherapy in the treatment of cervical cancer. 展开更多
关键词 Image-Based Brachytherapy Cervical Cancer Review
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A sparse representation method for image-based surface defect detection 认领 引用 被引量：1
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作者 YAO Ming-hai GU Qin-long 《Optoelectronics Letters》 EI 2018年第6期476-480,共5页
In this paper, an efficient sparse representation-based method is presented for detecting surface defects. The proposed method uses the sparse degree of coefficient in the redundant dictionary for checking whether the... In this paper, an efficient sparse representation-based method is presented for detecting surface defects. The proposed method uses the sparse degree of coefficient in the redundant dictionary for checking whether the test image is defective or not, and the binary representation of the defective images is obtained, according to the global coefficient feature. Owing to the requirements for the efficiency and detecting quality, the block proximal gradient operator is introduced to speed up the online dictionary learning. Considering the correlation among the testing samples, prior knowledge is applied in the orthogonal-matching-pursuit sparse representation algorithm to improve the speed of sparse coding. Experimental results demonstrate that the proposed detection method can effectively detect and extract the defects of the surface images, and has broad applicability. 展开更多
关键词 surface defect detection A sparse representation method image-based
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Image-based autonomous navigation of Hayabusa2 using artificial landmarks: The design and brief in-flight results of the first landing on asteroid Ryugu 认领 引用 被引量：10
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作者 Naoko Ogawa Fuyuto Terui +14 位作者 Yuya Mimasu Kent Yoshikawa Go Ono Seiji Yasuda Kota Matsushima Tetsuya Masuda Hiroki Hihara Junpei Sano Takashi Matsuhisa Satoshi Danno Manabu Yamada Yasuhiro Yokota Yuto Takei Takanao Saiki Yuichi Tsuda 《Astrodynamics》 EI CSCD 2020年第2期89-103,共15页
Hayabusa2 is an asteroid sample return mission carried out by the Japan Aerospace Exploration Agency.The spacecraft was launched in 2014 and arrived at the target asteroid Ryugu on June 27,2018.During the 1.5-year pro... Hayabusa2 is an asteroid sample return mission carried out by the Japan Aerospace Exploration Agency.The spacecraft was launched in 2014 and arrived at the target asteroid Ryugu on June 27,2018.During the 1.5-year proximity phase,several critical operations(including two landing/sampling operations)were successfully performed.They were based on autonomous image-based descent and landing techniques.This paper describes an imagebased autonomous navigation scheme of the Hayabusa2 mission using artificial landmarks named target markers(TMs).Its basic algorithm,and the in-flight results of the first touchdown and its rehearsal,are shown. 展开更多
关键词 Hayabusa2 Ryugu image-based navigation target marker tracking
Hybrid approach used for extended image-based wavefront sensor-less adaptive optics 认领 引用 被引量：6
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作者 董冰 喻际 《Chinese Optics Letters》 SCIE EI CAS CSCD 2015年第4期21-25,共5页
The stochastic paralld gradient descent （SPGD） algorithm is widely used in wavefront sensor-less adaptive optics （WSAO） systems. However, the convergence is relatively slow. Modal-based algorithms usually provide ... The stochastic paralld gradient descent （SPGD） algorithm is widely used in wavefront sensor-less adaptive optics （WSAO） systems. However, the convergence is relatively slow. Modal-based algorithms usually provide much faster convergence than SPGD; however, the limited actuator stroke of the deformable mirror （DM） often prohibits the sensing of higher-order modes or renders a closed-loop correction inapplicable. Based on a comparative analysis of SPGD and the DM-modal-based algorithm, a hybrid approach involving both algorithms is proposed for extended image-based WSAO, and is demonstrated in this experiment. The hybrid approach can achieve similar correction results to pure SPGD, but with a dramatically decreased iteration number. 展开更多
关键词 DM Hybrid approach used for extended image-based wavefront sensor-less adaptive optics mode
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Image-based numerical study of three-dimensional meso-structure effects on damage and failure of heterogeneous coal-rock under dynamic impact loads 认领 引用 被引量：1
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作者 Kehong Zheng Bingjing Qiu +3 位作者 Zhenyu Wang Xuefeng Li Jianping Li Kuidong Gao 《Particuology》 SCIE EI CAS CSCD 2020年第4期132-141,共10页
This paper proposes a numerical three-dimensional(3D)mesoscopic approach based on the discrete element method combined with X-ray computed tomography(XCT)images to characterize the dynamic impact behavior of heterogen... This paper proposes a numerical three-dimensional(3D)mesoscopic approach based on the discrete element method combined with X-ray computed tomography(XCT)images to characterize the dynamic impact behavior of heterogeneous coal-rock(HCR).The dynamic impact loading in three directions was modelled to investigate the effects of the 3D meso-structure on the failure patterns and fracture mechanism,with different impact velocities.The XCT image-based discrete element model of HCR was calibrated through appropriate standard uniaxial compression tests.Numerical simulations were carried out to investigate how the breakage behaviors are affected by different loading directions with different impact velocities.The loading direction,input energy,and spatial distribution of the mineral phase had a remarkable influence on the failure patterns and load-carrying capacities.The shape of the gangue phase and the approximate location of the gangue interfaces are key parameters to consider when investigating the failure patterns and fracture mechanism of heterogeneous rock materials.The damage and fracture tended to propagate from the surfaces to the HCR interior.The gangue phase area contacting the loading wall,growth direction of the strong gangue interfaces,and loading directions greatly influenced the failure patterns of the heterogeneous rock materials. 展开更多
关键词 Heterogeneous coal-rock Impact loads X-ray computed tomography(XCT) 3D image-based discrete element modelling Failure pattern
Layered Textures for Image-Based Rendering 认领 引用 被引量：1
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作者 Wen-ChengWang Kui-YuLi +1 位作者 XinZheng En-HuaWu 《Journal of Computer Science & Technology》 SCIE EI 2004年第5期633-642,共10页
An extension to texture mapping is given in this paper for improving theefficiency of image-based rendering. For a depth image with an orthogonal displacement at eachpixel, it is decomposed by the displacement into a ... An extension to texture mapping is given in this paper for improving theefficiency of image-based rendering. For a depth image with an orthogonal displacement at eachpixel, it is decomposed by the displacement into a series of layered textures (LTs) with each onehaving the same displacement for all its texels. Meanwhile, some texels of the layered textures areinterpolated for obtaining a continuous 3D approximation of the model represented in the depthimage. Thus, the plane-to-plane texture mapping can be used to map these layered textures to producenovel views and the advantages can be obtained as follows: accelerating the rendering speed,supporting the 3D surface details and view motion parallax, and avoiding the expensive task ofhole-filling in the rendering stage. Experimental results show the new method can producehigh-quality images and run faster than many famous image-based rendering techniques. 展开更多
关键词 layered texture texture mapping image-based rendering
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Lumiproxy:A Hybrid Representation of Image-Based Models 认领 引用
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作者 盛斌 朱鉴 +1 位作者 吴恩华 张言辞 《Journal of Computer Science & Technology》 SCIE EI 2009年第3期578-587,共10页
In this paper, we present a hybrid representation of image-based models combining the textured planes and the hierarchical points. Taking a set of depth images as input, our method starts from classifying input pixels... In this paper, we present a hybrid representation of image-based models combining the textured planes and the hierarchical points. Taking a set of depth images as input, our method starts from classifying input pixels into two categories, indicating the planar and non-planar surfaces respectively. For the planar surfaces, the geometric coefficients are reconstructed to form the uniformly sampled textures. For nearly planar surfaces, some textured planes, called lumiproxies, are constructed to represent the equivalent visual appearance. The Hough transform is used to find the positions of these textured planes, and optic flow measures are used to determine their textures. For remaining pixels corresponding to the non-planar geometries, the point primitive is applied, reorganized as the OBB-tree structure. Then, texture mapping and point splatting are employed together to render the novel views, with the hardware acceleration. 展开更多
关键词 lumiproxy sampling surface fitting image-based rendering
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Numerical calculations Of effective thermal conductivity of porous ceramics by image-based finite element method 认领 引用
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作者 Yan-Hao DONG Chang-An WANG +1 位作者 Liang-Fa HU Jun ZHOU 《Frontiers of Materials Science》 SCIE CSCD 2012年第1期79-86,共8页
The effective thermal conductivity of heterogeneous or composite materials is an essential physical parameter of materials selection and design for specific functions in science and engineering. The effective thermal ... The effective thermal conductivity of heterogeneous or composite materials is an essential physical parameter of materials selection and design for specific functions in science and engineering. The effective thermal conductivity is heavily relied on the fraction and spatial distribution of each phase. In this work, image- based finite element method （FEM） was used to calculate the effective thermal conductivity of porous ceramics with different pore structures. Compared with former theoretical models such as effective media theory （EMT） equation and parallel model, image-based FEM can be applied to a large variety of material systems with a relatively steady deviation. The deviation of image-based FEM computation mainly comes from the difference between the two dimensional （2D） image and the three dimensional （3D） structure of the real system, and an experiment was carried out to confirm this assumption. Factors influencing 2D and 3D effective thermal conductivities were studied by FEM to illustrate the accuracy and application conditions of image-based FEM. 展开更多
关键词 thermal conductivity image-based FEM porous ceramic two-phasematerial
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An Image-Based Virtual Reality Prototype System 认领 引用
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作者 蔡勇 王平安 +3 位作者 吴恩华 刘学慧 李洪举 孙庆杰 《Journal of Computer Science & Technology》 SCIE EI 1998年第5期475-480,共6页
The most important goal of virtual reality is to create a virtual world by computers where users are allowed to view the environment and control the virtual objects interactively. naditionally virtual reality systems ... The most important goal of virtual reality is to create a virtual world by computers where users are allowed to view the environment and control the virtual objects interactively. naditionally virtual reality systems use 3D computer graphics to model and render a virtual environment in real time. However, this approach usually requires laborious modeling and expensive special-purpose rendering hardware. Image-based rendering is a new approach in composing a virtual environment in which a set of panoramic images is used to compose the virtual environment and walking in the space is accomplished by 'hopping' to different panoramic points. This paper introduces an experimeatal image-based VR system. The techniques utilized in the system, in particular the authoring and interactive control tools of the system, are described in detail. 展开更多
关键词 Virtual reality image-based rendering panoramic image
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Multiview Visibility Estimation for Image-Based Modeling 认领 引用
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作者 Liu-Xin Zhang Ming-Tao Pei Yun-De Jia 《Journal of Computer Science & Technology》 SCIE EI CSCD 2011年第6期1000-1010,共11页
In this paper,we investigate the problem of determining regions in 3D scene visible to some given viewpoints when obstacles are present in the scene.We assume that the obstacles are composed of some opaque objects wit... In this paper,we investigate the problem of determining regions in 3D scene visible to some given viewpoints when obstacles are present in the scene.We assume that the obstacles are composed of some opaque objects with closed surfaces.The problem is formulated in an implicit framework where the obstacles are represented by a level set function.The visible and invisible regions of the given viewpoints are determined through an efficient implicit ray tracing technique.As an extension of our approach,we apply the multiview visibility estimation to an image-based modeling technique.The unknown scene geometry and multiview visibility information are incorporated into a variational energy functional.By minimizing the energy functional,the true scene geometry as well as the accurate visibility information of the multiple views can be recovered from a number of scene images.This makes it feasible to handle the visibility problem of multiple views by our approach when the true scene geometry is unknown. 展开更多
关键词 visibility estimation image-based modeling multiple views level set implicit surface
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A Brief Introduction of the Achievements of Key Project Image-based Modeling and Rendering for Virtual Reality Applications 认领 引用
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作者 Jiaoying Shi Zhanyi Hu +1 位作者 Enhua Wu Qunsheng Peng 《Science Foundation in China》 2006年第2期60-62,共3页
1. Background The virtual reality （VR） technology is now at the frontier of modern information science. VR is based on computer graphics, computer vision, and other fresh air topics in today＇s computer technology. ... 1. Background The virtual reality （VR） technology is now at the frontier of modern information science. VR is based on computer graphics, computer vision, and other fresh air topics in today＇s computer technology. Nowadays the VR technology has been applied successfully in variety of fields such as military simulation, industry, medical training and visualization, environment protection and entertainment. 展开更多
关键词 Virtual reality Image-based modeling and rendering
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Real-Time Machine Learning-Based Position Recognition in Laser Nanofabrication with Sub-Half-Wavelength Precision 认领 引用
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作者 Hao Zhang Jinchuan Zheng +2 位作者 Guiyuan Cao Han Lin Baohua Jia 《Engineering》 SCIE EI CSCD 2026年第2期200-209,共10页
Laser nanofabrication with tightly focused ultrafast laser pulses enable versatile fabrication of arbitrary two-dimensional(2D)hree-dimensional(3D)microanostructures.Accurate positioning of the laser focal spot is cru... Laser nanofabrication with tightly focused ultrafast laser pulses enable versatile fabrication of arbitrary two-dimensional(2D)hree-dimensional(3D)microanostructures.Accurate positioning of the laser focal spot is crucial,especially for high-resolution integrated devices in 2D materials,requiring precise placement on atomically thin surfaces.However,uneven surfaces and surface tilt poses significant challenges.Existing methods to detect focal positions often involve complex setups with additional optical components or sensors,achieving limited accuracy.This study introduces a machine learning-based method to accurately detect the focal position during laser nanofabrication by analyzing the shape and intensity of the laser focal spot.We compare four machine learning methods:rational quadratic Gaussian process regression,kernel approximation least square,quadratic support vector machine,and trilayered neural network.Our experiments show that trilayered neural network(TNN)method achieves a detection accuracy of 257 nm(half the fabrication laser wavelength),surpassing the required accuracy for tightly focused laser beam(typically larger than one wavelength).This method can map focal positions along the fabrication trajectory to compensate for surface roughness or tilt.Moreover,it can be directly implemented in any laser nanofabrication system with a camera for in situ monitoring,without requiring additional optical components,indicating broad applicability. 展开更多
关键词 Laser nanofabrication Machine learning Image-based position recognition Neural network Image processing
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MalDetect-IoT:Enhanced IoT Malware Variant Detection with a Deep Stacked Ensemble Approach 认领 引用
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作者 Muhammad Shaheer Feng Zeng +3 位作者 Aqsa Yasmeen Mudasir Ahmad Wani Kashish Ara Shakil Muhammad Asim 《Computers, Materials & Continua》 SCIE EI 2026年第7期1824-1847,共24页
Malware remains a persistent and evolving threat to digital security,highlighting the need for advanced and resilient detection frameworks capable of mitigating increasingly sophisticated and evasive cyberattacks.Alth... Malware remains a persistent and evolving threat to digital security,highlighting the need for advanced and resilient detection frameworks capable of mitigating increasingly sophisticated and evasive cyberattacks.Although deep learning ensembles have been explored,many existing approaches fail to balance computational efficiency with the diverse feature extraction capabilities needed for complex variants.To address this gap,this study proposes a novel stacking ensemble framework,MalDetect-IoT,which specifically eliminates the requirement for manual feature engineering and domain specific preprocessing traditionally required in malware classification.By fine-tuning two pre-trained models MobileNetV3 for its lightweight efficiency and Xception for its depthwise distinct convolutions within a stacked architecture,the ensemble achieves superior reliability and predictive accuracy while remaining suitable for resource limited Internet of Things(IoT)environments.The proposed approach leverages complementary features to identify nuanced structural characteristics in malware binaries transformed into images,achieving domain knowledge independence.The proposed approach was evaluated on two benchmark datasets,achieving accuracies of 98.75%on the Malimg dataset(9335 images)and 98.55%on the MaleVis dataset(14,226 images).Statistical validation via McNemar’s test and a Cohen’s kappa coefficient of 0.983 confirm that the framework consistently surpasses state of the art methodologies in effectively identifying malware instances. 展开更多
关键词 Malware detection Internet of Things(IoT) deep learning stacking ensemble transfer learning image-based malware classification
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Disturbance Observers-Based Adaptive Visual Servoing for Aerial Vehicle with Trajectory Tracking Applications of Soccer 认领 引用
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作者 Yao-Bo Long Yu-Ke Ouyang +1 位作者 Bo Zhuang Ao-Qi Liu 《Computers, Materials & Continua》 SCIE EI 2026年第8期1451-1471,共21页
This study addresses the real-time visual tracking task in edge environments by proposing a robust visual servoing control system based on a higher-order sliding mode observer,enabling a quadrotor UAV to autonomously ... This study addresses the real-time visual tracking task in edge environments by proposing a robust visual servoing control system based on a higher-order sliding mode observer,enabling a quadrotor UAV to autonomously track a moving soccer ball during outdoor sports broadcasts while relying solely on a monocular camera and an inertial measurement unit,thereby eliminating any dependency on external positioning or velocity sensors such as GPS.The system adopts a hierarchical control architecture in which the observer plays a central role:operating on resource-constrained edge devices,it leverages only visual information to estimate unknown external disturbances and target motion states in real time,significantly reducing both hardware requirements and computational overhead to meet the lightweight deployment demands of edge nodes while simultaneously providing the continuous disturbance estimation necessary to sustain a low-latency control loop.Experimental validation was conducted under simulated real soccer match scenarios featuring wind disturbances and abrupt trajectory changes,and the results demonstrate that the system restores the ball to a stable position near the center of the camera’s field of view within seconds of a perturbation,thereby satisfying the stringent stability and real-time performance requirements of live broadcasting.This work confirms the feasibility of delivering low-latency,highly reliable visual intelligence services on resource-constrained edge platforms through advanced observer design,offering a technical reference for the convergence of real-time perception and control within the edge Internet of Things and providing valuable insights for future research on large-scale edge collaboration and secure,sustainable service architectures. 展开更多
关键词 Image-based visual servoing adaptive control aerial vehicles disturbance observers soccer ball
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A critical review on pavement distress detection using images and point clouds from visual features to geometric modeling 认领 引用 被引量：2
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作者 Jiayv Jing Xu Yang +4 位作者 Hang Cheng Xu Feng Hao Zheng Ioannis Brilakis Jiamei Liu 《Journal of Road Engineering》 EI CAS 2025年第4期583-606,共24页
Pavement distress detection plays a pivotal role in ensuring roadway safety,serviceability,and cost-effective infrastructure management.With rapid advancements in intelligent transportation systems,computer vision,and... Pavement distress detection plays a pivotal role in ensuring roadway safety,serviceability,and cost-effective infrastructure management.With rapid advancements in intelligent transportation systems,computer vision,and sensing technologies,non-contact detection approaches based on images and point clouds have become increasingly prominent due to their efficiency,objectivity,and scalability.This review systematically examines both image-based and point cloud-based methodologies,structured along the complete detection pipeline encompassing data acquisition,preprocessing,distress extraction,and geometric quantification.Image-based techniques rely on visual cues,such as texture,color,and edge continuity,to identify surface-level anomalies efficiently,benefiting from mature deep learning frameworks for classification,object detection,and pixel-level segmentation.In contrast,point cloud-based methods capture rich three-dimensional geometric and structural information,enabling detailed modeling of crack depth,rutting deformation,and surface irregularities.Although each modality can independently achieve satisfactory performance,their complementary strengths have driven a growing trend toward hybrid frameworks,combining image-based rapid screening with point cloud-based precision modeling,to enhance detection accuracy,robustness,and adaptability across varying conditions.Furthermore,this paper highlights persistent challenges,including multimodal data fusion,high equipment and labeling costs,computational complexity,and the need for standardized benchmarks.By synthesizing current progress and identifying key technical bottlenecks,this review provides a comprehensive foundation and forward-looking perspective for developing intelligent,efficient,and scalable pavement distress detection systems. 展开更多
关键词 Pavement distress detection Image-based methods Point cloud-based methods Deep learning Intelligent maintenance
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