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IEEE 1993 NATIONAL AEROSPACE AND ELECTRONICS CONF ( NAECON 1993 )

作者： CHEN, YG SUN, ZK Department of Electronic Engineering Institute of Changsha Technology Changsha Hunan China

ISBN: (纸本)0780312953

This paper presents an algorithm based on TOA (time of arrival) and azimuth measurements. The location principle and feasibility of the technique are analysed in detail. For some bistatic radar systems with receivers which locate and track 3-D moving targets by means of a passive method, it is sometimes difficult to measure the pitch angle of targets. The algorithm proposed is of great importance to the practicability of bistatic passive location and tracking systems. With the help of computer simulation, the performance of this algorithm is evaluated for typical target paths according to Monte Carlo methods.

关键词： tracking algorithm azimuth measurements passive location time of arrival location principle bistatic radar pitch angle bistatic passive location tracking systems computer simulation Monte Carlo methods ECM digital simulation electronic countermeasures filtering and prediction theory military systems Monte Carlo methods radar systems radar theory tracking

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tracking algorithm and Its Implementation of the Vehicle BSR Noise Location

Tracking Algorithm and Its Implementation of the Vehicle BSR...

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FISITA 2012 World Automotive Congress--Volume 13: Noise,Vibration and Harshness(NVH)

作者： Choi Sung Uk Kang Jun-Goo Lee Tae-Woong Mog Mu Gyun Hyundai-Motor.Seoul Korea SM Instruments.Seoul.Korea

It is hard to estimate the location ot BSR noise and quantify BSR noise due to three main reasons as the fallowings:ambiguity of representation of BSR noise,quantification of evaluation,and reproduction *** resolve these problems,companies depend on the experienced *** this chapter,we would like to propose a method for categorizing BSR and an algorithm for tracking BSR noise location and evaluating BSR noise.

关键词： BSR Vehicle Categorization Noise source tracking algorithm

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Infrared Moving Target tracking algorithm with Background Perception Capability

Infrared Moving Target Tracking Algorithm with Background Pe...

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4th IEEE International Conference on Information Science and Technology (ICIST)

作者： Liu Shijian Yang Long Wu Yingyue Chinese Acad Sci Inst Tech Phys Shanghai 200083 Peoples R China

ISBN: (纸本)9781479948086

Infrared moving target tracking algorithm in complex background prone target loss problems, proposed to add background perception module and target feature matching function in tracking algorithm, real-time analysis of the surroundings of the target. Strict constraints target infrared feature matching function when found that the background will be changed, if the target is interference, and outputs the target predicted position until the target flight out of the area. The improved algorithm is substantially independent of the target size, rotation change and improves the stability and reliability of the tracking algorithm. The experimental results show that the improved algorithm to overcome easily lost in the traditional algorithm to track the target and stable tracking in a complex background.

关键词： Background perception moving target tracking algorithm

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Bubbly Flow Experiment in Channel Using an Optical Probe and tracking algorithm

Bubbly Flow Experiment in Channel Using an Optical Probe and...

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作者： Khan, Abdul Texas A&M University

In this study, the phenomenon of two-phase flow was investigated in a square channel. The experiment was performed with stagnant liquid conditions. The gas and liquid dynamics of the bubbly flow were observed in two regions far from the inlet. Air was inserted through a porous media at three superficial gas velocities: 4.6 mm/s, 2.5 mm/s, and 1.4 mm/s. Two techniques were applied in the experiment to measure the bubbly flow: an optical probe and an in-house developed tracking algorithm. Measurements of the bubble interface velocity, void fraction, bubble frequency, time of flight, and Sauter mean diameter were obtained by using the optical probe. The duration of the probe measurements for all three flow rates and both regions lasted approximately 33 hours. The tracking algorithm was used to analyze the experimental data for two visual methods: shadowgraphy and Particle tracking Velocimetry (PTV). Shadowgraphy provided gas-phase measurements of the bubble centroid velocity and its fluctuations, void fraction, bubble size, and Reynolds stresses. Five data sets were acquired for each flow rate, resulting in a total of 327,540 shadowgraphy images. Liquid parameters such as the velocity, fluctuations in the velocity, and the Reynolds stresses were provided by PTV. Only one data set containing 10,918 images was obtained from liquid measurements for each flow rate. One data set was sufficient to provide reliable statistics since tracking two consecutive images lead to approximately 15,000 velocity vectors. The data obtained from this study was an effort to assist in the verification, validation, and improvement of two-phase flow simulations.

关键词： Optical Probe Shadowgraphy PTV tracking algorithm Bubbly Flow Two Phase Flow Thesis

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A long-memory pedestrian target tracking algorithm incorporating spatiotemporal trajectory feature enhancement model

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DIGITAL SIGNAL PROCESSING 2023年第1期135卷

作者： Cao, Jie Zhang, Jianxun Li, Bowen Gao, Linfeng An, Jiahao Chongqing Univ Technol Dept Comp Sci & Engn Chongqing 400054 Peoples R China

Multi-target tracking is a complex problem in computer vision, involving occlusion, target trajectory disappearance, etc. In response to these questions, we first propose a trajectory coordinate bi-directional sensing attention module (BasicCaModule). This module enables the network to be more focused on essential areas. Secondly, we propose the Feature Confusion Edge Enhancement (FCEE) module, which enhances the confusion region of adjacent feature edges. After detecting the network output feature map, we propose the adaptive feature separation header (FDH) module. This module can activate essential features adaptively to reduce the number of target identity switches. Finally, appropriate hyperparameters are set and optimized for the ByteTrack tracking algorithm, resolving fragment tracking loss and long memory matching problems. After a large amount of experimental data, our approach is highly competitive with the existing state-of-the-art algorithms. Moreover, it can also keep online tracking while maintaining high tracking accuracy. The code is publicly available at: https://github .com / CccJ23 /Spatio -temporal -trajectory-tracking (c) 2023 Elsevier Inc. All rights reserved.

关键词： Multi objective tracking Attention mechanism tracking algorithm Model decoding Feature reinforcement

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Design and Implementation of a UUV tracking algorithm for a USV

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DRONES 2022年第3期6卷 66-66页

作者： Kang, Jong-Gu Kim, Taeyun Kwon, Laeun Kim, Hyeong-Dong Park, Jong-Sang Agcy Def Dev Maritime Technol Res Inst Chang Won 51678 South Korea

In a departure from the past, unmanned underwater vehicles (UUVs) and unmanned surface vehicles (USVs) are increasingly needed for complementary cooperation in military, scientific, and commercial applications, because this is more efficient than standalone operations. Information sharing through acoustic underwater communication is vital for complementary cooperation between USVs and UUVs. Normally, since USVs have advantages in terms of wide operational boundaries compared to UUVs, they are efficient for tracking UUVs. In this paper, we suggest a UUV tracking algorithm for a USV. The tracking algorithm's development consists of three main software models: an estimation based on an extended Kalman filter (EKF) with a navigation smoothing method, guidance based on multimode guidance, and re-searching based on a pattern. In addition, the algorithm provides a procedure for tracking UUVs in complex acoustic underwater communication environments. The tracking algorithm was tested in a simulated environment to check the performance of each method, and implemented with a USV system to verify its validity and stability in sea trials. The UUV tracking algorithm of the USV shows stable and efficient performance.

关键词： tracking algorithm unmanned underwater vehicle unmanned surface vehicle complementary cooperation acoustic underwater communication

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A novel aircraft anti-skid brake control method based on runway maximum friction tracking algorithm

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AEROSPACE SCIENCE AND TECHNOLOGY 2021年 110卷 106482-106482页

作者： Jiao, Zongxia Wang, Zhuangzhuang Sun, Dong Liu, Xiaochao Shang, Yaoxing Wu, Shuai Beihang Univ Sch Automat Sci & Elect Engn Beijing 100191 Peoples R China Beihang Univ Res Inst Frontier Sci Beijing 100191 Peoples R China Zhejiang Univ State Key Lab Fluid Power & Mechatron Syst Hangzhou 310027 Peoples R China Beihang Univ Sci & Technol Aircraft Control Lab Beijing 100191 Peoples R China Beihang Univ Ningbo Inst Technol Ningbo 315800 Peoples R China

As a dominant type of disturbance during aircraft braking, variation in maximum friction between the runway and the tires largely affects the efficiency of aircraft anti-skid braking systems (ABS). Conventional aircraft anti-skid braking control method, such as pressure-bias-modulated (PBM), are unable to identify and track the changing maximum friction between the runway and the tires, which results in reduced braking efficiency and long braking distances. This paper presents a novel anti-skid braking control method which can identify and track the maximum friction using only wheel angular velocity and brake pressure signals. An extended braking stiffness (XBS)-based runway maximum friction identification method is proposed to determine the runway maximum friction, where XBS is the differential of the friction to the differential of the slip ratio. tracking differentiator (TD) is employed to derive the corresponding differential signals, which enables XBS to be calculated efficiently, without compromising calculation accuracy. By analyzing the dynamic characteristic of the wheel, a runway friction characteristic observation function is designed to observe changing friction characteristic during the entire braking. To be able to track the varying maximum friction in real time, a runway maximum friction tracking algorithm is designed, which can realize accurate brake pressure control according to the change in runway friction characteristic. The Lyapunov function is employed to prove the stability of the designed controller. Simulation tests are carried out under multiple sets of changes in runway friction characteristic. The comparison simulation test with PBM algorithm shows that the designed control method greatly improves the braking efficiency. Ground inertia test bench experiments are also conducted to further verify the correctness and effectiveness of the proposed aircraft anti-skid brake control method. Simulation and experiment results prove that the propos

关键词： Aircraft brake system Maximum friction tracking algorithm Runway friction characteristic tracking differentiator

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Hierarchical fusion evaluation and optimization of radar intelligent tracking algorithm via hybrid weight design mechanism

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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2024年第PartB期127卷

作者： Hu, Kaiyu Yang, Chunxia Wang, Zhaoyang Wang, Jiaming China Aerosp Sci & Ind Corp Inst 304 Beijing 100074 Peoples R China Nanjing Univ Aeronaut & Astronaut Coll Automat Engn Nanjing 211106 Peoples R China

In this paper, a hybrid weight design and optimization mechanism is proposed to ensure a better application effect in the multi-level weighted evaluation/optimization process of intelligent neural network (NN) guidance algorithm. According to different target tracking scenarios, the tracking index are divided into different periods, a single period score is given according to a linear-nonlinear hybrid scoring mechanism. Furthermore, in a single index, the internal scores of different time periods are weighted and fused for the second time to obtain the index overall score. Finally, the third weighted fusion of the multi-index scores is used to obtain the comprehensive score of the algorithm. Design the algorithm parameter evaluation case sets, repeat the above compound weighting, obtain the case with the highest comprehensive score. Finally, the algorithm is optimized by the highest score case. In the hybrid weight design mechanism, the objective grey correlation first defines the weight range, then the subjective expert decision method with local extreme expert elimination and standard deviation global test for double optimization finally ensures the weight reliability of the hierarchical evaluation optimization. The evaluation optimization experiment using fuzzy NN radar seeker verifies the effectiveness of the method.

关键词： Radar seeker tracking algorithm Neural network Weighted fusion evaluation Performance index

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Computer vision recognition and tracking algorithm based on convolutional neural network

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APPLIED MATHEMATICS AND NONLINEAR SCIENCES 2022年第2期8卷 95-106页

作者： Tian, Yujie Cao, Di Chongqing Coll Elect Engn Dept Commun Engn Chongqing 401331 Peoples R China

In the past few decades, target tracking algorithm has been paid great attention by peers at home and abroad in the field of computer vision because of its potential for in-depth research and practical value. Typical applications of target tracking algorithms include intelligent video surveillance, autonomous vehicles, human-computer interaction and so on. Given the initial state of a target object, the task of the target tracking algorithm is to estimate the state of the target in the subsequent video. Despite years of efforts, designing a target tracking algorithm is still a very challenging problem, because it poses changes, particularly illumination changes, and in addition, occlusion, complex environments, and the moving background will also cause changes in the appearance of the target. The traditional target tracking algorithm based on manually designed features or shallow classifiers uses manually designed low-level visual features or shallow classifiers to build the target apparent model, so the semantic information prediction ability of the target apparent model is limited. Given the defect that the above traditional target tracking algorithm is difficult to capture the semantic information of visual data in the target apparent model, inspired by the great success of deep convolution networks in image classification and speech recognition, a target tracking algorithm based on convolution neural network is proposed in this paper.

关键词： Computer vision Convolutional neural network Neural network tracking algorithm

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Automated time-resolved tracking algorithm of the atrioventricular plane displacement in CMR images

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Journal of Cardiovascular Magnetic Resonance 2016年第SUPPL 1期18卷 P43-P43页

作者： Felicia Seemann Ulrika Pahlm Katarina Steding-Ehrenborg Ellen Ostenfeld Håkan Arheden Marcus Carlsson Einar Heiberg Department of Clinical Physiology Skåne University Hospital Lund University Lund Sweden Department of Health Sciences Lund University Lund Sweden Department of Biomedical Engineering Faculty of Engineering Lund University Lund Sweden

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