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Articles 3151 - 3180 of 4188

Full-Text Articles in Numerical Analysis and Scientific Computing

Research On Supporting Action Model Of Long-Rang Strike Space Reconnaissance Based On Combination Mode, Changliang Xiao, Jingyu Yang, Wu Xi, Ma Jun, Xiaojing Yin Dec 2019

Research On Supporting Action Model Of Long-Rang Strike Space Reconnaissance Based On Combination Mode, Changliang Xiao, Jingyu Yang, Wu Xi, Ma Jun, Xiaojing Yin

Journal of System Simulation

Abstract: Space reconnaissance support operations mainly undertake the tasks of target detection and identification in the early stage of strike, target guidance during strike and damage effect evaluation after strike. Based on EBI(Entity, Behavior, Interaction)modeling framework, this paper describes the entity models of signal intelligence sensor, radar alarm sensor and imaging sensor, constructs a combined mode of space reconnaissance support operation. It mainly models the combined mode algorithm of three sensors and their respective target detection behavior rules, whick is conductive to improving reconnaissance efficiency and enhancing intelligence quality in combat operations.

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Research On Gear Appearance Defect Recognition Based On Improved Faster R-Cnn, Weixi Ji, Du Meng, Peng Wei, Xu Jie Dec 2019

Research On Gear Appearance Defect Recognition Based On Improved Faster R-Cnn, Weixi Ji, Du Meng, Peng Wei, Xu Jie

Journal of System Simulation

Abstract: In order to achieve automatic identification of gear appearance defects and improve the qualification rate of gear products, aiming at the generalization of traditional defect recognition algorithms and the time-consuming of manual features extraction, this paper proposes an improved gear flaw detection algorithm for Faster R-CNN. VGG-2CF network is designed to improve the ability to identify smaller targets. Introducing AM-Softmax loss function is introduced to reduce the intra-class variation and optimize the inter-class difference. Combining with F-measure in machine learning algorithm, an AMF-Softmax loss function is proposed to solve the problem of data imbalance. The experimental results show the …

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Survey Of Vision-Based Augmented Reality 3d Registration Technology, Shouming Hou, Han Ji, Yudong Zhang, Ziqiu Zhu Dec 2019

Survey Of Vision-Based Augmented Reality 3d Registration Technology, Shouming Hou, Han Ji, Yudong Zhang, Ziqiu Zhu

Journal of System Simulation

Abstract: Three-dimensional registration technology is one of the core technologies for augmented reality system implementation. In recent years, with the maturity of augmented reality hardware technology and the expansion of application fields, vision-based three-dimensional registration technology has received more attention and development. This paper introduces the basic principles and classification methods of 3D registration technology, focuses on the analysis of the principles and research status of three kinds of visual three-dimensional registration technology based on artificial identification, natural feature points and model.Furthermore, the defects and treatment methods of three visual registration technologies are discussed. The development prospect of visual 3D …

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Decision-Making Method For Formulating Spares Reserve Scheme Based On Deep Neural Network, Yunjing Zhang, Guangming Tang, Xiaoyu Xu Dec 2019

Decision-Making Method For Formulating Spares Reserve Scheme Based On Deep Neural Network, Yunjing Zhang, Guangming Tang, Xiaoyu Xu

Journal of System Simulation

Abstract: Spare parts classification is important for spare parts storage and is a key part of spare parts decision-making activities. This paper analyzes the factors affecting the reserve scheme of wartime spares. Then by analyzing the inherent attributes of wartime spares, two methods of spare parts classification are proposed to determine the variety and quantity of wartime spares based on deep neural network: (1) Ranks wartime spares according to their importance. A relatively simple deep neural network is used to analyze every attribute of the wartime spares in turn; (2) Inputs all the attributes of wartime spares into a relatively …

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Urban Functional Area Identification Method Based On Mobile Big Data, Xiao Di, Xiaoyong Zhang, Hu Yang Dec 2019

Urban Functional Area Identification Method Based On Mobile Big Data, Xiao Di, Xiaoyong Zhang, Hu Yang

Journal of System Simulation

Abstract: With the rapid development of urbanization, the function of urban land is constantly evolving. It is of great significance to identify urban functional areas in real time and accurately. In recent years, accompanied by the popularity of smart phones and the rapid development of the Internet, mobile phones have become sensors of human activities. In this paper, a method of urban functional area identification based on time series mobile phone data mining and POI semantics analysis is proposed. The time series feature of remaining mobile phone positioning is extracted facing block scale. And a FCM clustering algorithm based …

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Intelligent Fire Rescue Based On Internet Of Things And Virtual Reality, Fengting Yan, Zhicai Shi, Qianmin Su, Dong Jing, Jue Chen, Yunyu Shi, Tang Xian Dec 2019

Intelligent Fire Rescue Based On Internet Of Things And Virtual Reality, Fengting Yan, Zhicai Shi, Qianmin Su, Dong Jing, Jue Chen, Yunyu Shi, Tang Xian

Journal of System Simulation

Abstract: The integration of virtual reality, Internet of Things and artificial intelligence can provide intelligent WebVR interaction for fire rescue decision-making. However, it is necessary to solve the problems of data lightweight, real-time data transmission based on the Internet of Things, and visualization of fire scenario data on the web, and to build effective mechanisms and algorithms. This paper proposes an intelligent fire rescue (IVIFR) mechanism based on the integration of Internet of Things and Virtual Reality, gives a virtual intelligent fire rescue (VIFR) algorithm, and constructs a prototype system of intelligent fire rescue. The VIFR algorithm …

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Rehabilitation Training System Of Vr-Based Speech Apraxia, Huanhuan Jiao, Zhigeng Pan, Shuchang Xu, Qingshu Yuan Dec 2019

Rehabilitation Training System Of Vr-Based Speech Apraxia, Huanhuan Jiao, Zhigeng Pan, Shuchang Xu, Qingshu Yuan

Journal of System Simulation

Abstract: Aiming at the problem that the enthusiasm of active training in patients with traditional speech apraxia rehabilitation is gradually weakened, a virtual reality-based rehabilitation training system for speech apraxia is designed. The system simulates the 26 monosyllabic pronunciation mouths shapes made by virtual human in Chinese and uses it for the learning module. It is proposed to identify 26 monosyllabic words by using the isolated word speech recognition algorithm, which improves the accuracy of speech recognition. The system includes a training module and a scene module for assisting the patient's pronunciation rehabilitation training. The evaluation results show that …

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A Parallel Simulation Method For Combat Organization And Implementation, Yaxin Tan, Jianhua Luo, Fan Rui, Zhiming Dong Dec 2019

A Parallel Simulation Method For Combat Organization And Implementation, Yaxin Tan, Jianhua Luo, Fan Rui, Zhiming Dong

Journal of System Simulation

Abstract: Aiming at the difficult problem of battle parallel simulation, the realization of parallel simulation based on combat organization is analyzed theoretically. Furthermore, a parallel simulation based on combat organization is proposed. One by one, the methods of the simulation task partitioning, the simulation task integration and interaction between integration method are given. This paper breaks through the key technology of parallel simulation, based on the parallel simulation integration framework, implements the system integration, builds the parallel simulation prototype system of the size of the brigade, develops parallel simulation task allocation software, designs the operational application case, and tests parallel …

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Research On Eye Location And Head State Detection Based On Integrated Learning, Yingnian Wu, Mengjia He, Xiang Wei Dec 2019

Research On Eye Location And Head State Detection Based On Integrated Learning, Yingnian Wu, Mengjia He, Xiang Wei

Journal of System Simulation

Abstract: For real-time detection of eye location problem, a real-time detection system of human eye based on Viola Jones algorithm is designed. Through the MATLAB, the real-time reading and positioning of the detected human eye pictures are controlled by the external or webcam. Through side view, top view, and upward view, it is shown that the human eye real-time positioning system has good detection effect and robustness. In view of the poor classification effect of small data sets on the head state, the random forest algorithm is used to classify the pitching Angle and yaw Angle by HOG-LBP fusion feature …

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A Temporal Action Detection Algorithm Based On Spatio-Temporal Feature Pyramid Network, Liu Wang, Jinyu Sun, Shiwei Ma Dec 2019

A Temporal Action Detection Algorithm Based On Spatio-Temporal Feature Pyramid Network, Liu Wang, Jinyu Sun, Shiwei Ma

Journal of System Simulation

Abstract: In view of the discontinuity of motion timing detection in the frame-level prediction network structure, a novel algorithm based on spatio-temporal feature pyramid network (ST-FPN) is proposed. In the frame-level action prediction, several 3D convolution-de-convolution (CDC) networks are used to sample spatial feature down to 1 dimension and sample temporal feature up to corresponding proposal level. Then the prediction scores of different CDC networks are fused by non-maximum suppression (NMS). The softmax classifier is used to classify frame-level actions, and then temporal action detection is obtained. The experimental results on dataset THUMOS14 show that the proposed algorithm improves the …

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Design And Finite Element Analysis Of Reflector Spherical Shell For Flight Simulator, Hailiang Bai, Jiang Nan, Zhang Liao, Yuewen Fu Dec 2019

Design And Finite Element Analysis Of Reflector Spherical Shell For Flight Simulator, Hailiang Bai, Jiang Nan, Zhang Liao, Yuewen Fu

Journal of System Simulation

Abstract: The fight simulator with six-degree-of-freedom motion platform can simulate the flight attitude in real time and provide realistic overload dynamic feeling, which requires that the equipment on the platform must adapt to the overload during flight simulation. To solve the contradiction between the rigidity and weight of material, the glass fiber composite material is used to design and manufacture the spherical shell of the mirror . To improve the optical collimation of the reflector, the specific hyperboloid aspheric surface is selected as the surface design scheme,the 3D model of the spherical shell is constructed. The parameters of the …

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Design Of Universal Control Load System Of Helicopter Flight Simulator, Chen Zhen, Haikuan Yang, Jiang Nan, Yuancheng Wang, Tianjiao Jiang Dec 2019

Design Of Universal Control Load System Of Helicopter Flight Simulator, Chen Zhen, Haikuan Yang, Jiang Nan, Yuancheng Wang, Tianjiao Jiang

Journal of System Simulation

Abstract: To improve the universality and handling quality of control system of helicopter flight simulator, a universal control load system of helicopter flight simulator suitable for helicopter flight simulator is designed. The dynamic feedback model is proposed to solve the contradiction between control rigidity and stability, control precision and response frequency, the control rigidity and kinematic accuracy are improved.The operating load mechanism is designed, the system structure and drive system are simplified, the smoothness of force perception is improved; the third order smoothing algorithm and fieldbus technology based on EtherCAT are applied to improve the anti-jamming capability and response speed, …

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Research On Dual-Antenna Gnss-Assisted Mins Navigation Method, Hailu Wang, Su Zhong, Liu Ning, Liu Hong, Guodong Fu Dec 2019

Research On Dual-Antenna Gnss-Assisted Mins Navigation Method, Hailu Wang, Su Zhong, Liu Ning, Liu Hong, Guodong Fu

Journal of System Simulation

Abstract: For the integrated navigation system of the single-antenna GNSS-assisted MEMS strap-down inertial navigation system (MINS), the heading angle divergence is invalid when the vehicle is stationary and linear motion, and the error is large. The method of the dual-antenna GNSS-assisted MINS integrated navigation based on EKF is proposed. The error state model is established, and the extended Kalman filter combined filter (EKF) algorithm is designsed for simulation verification. The driving test is carried out by comparing the high-precision SPAN-CPT. The results show that the yaw angle and pitch angle accuracy are 0.2 RMS, 0.3 RMS, which can be used …

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Robot Arm Control Method Based On Deep Reinforcement Learning, Heyu Li, Zhilong Zhao, Gu Lei, Liqin Guo, Zeng Bi, Tingyu Lin Dec 2019

Robot Arm Control Method Based On Deep Reinforcement Learning, Heyu Li, Zhilong Zhao, Gu Lei, Liqin Guo, Zeng Bi, Tingyu Lin

Journal of System Simulation

Abstract: Deep reinforcement learning continues to explore in the environment and adjusts the neural network parameters by the reward function. The actual production line can not be used as the trial and error environment for the algorithm, so there is not enough data. For that, this paper constructs a virtual robot arm simulation environment, including the robot arm and the object. The Deep Deterministic Policy Gradient (DDPG),in which the state variables and reward function are set,is trained by deep reinforcement learning algorithm in the simulation environment to realize the target of controlling the robot arm to move the gripper below …

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Microscopic Simulation Based Evaluation Of Congestion Pricing For Beijing Urban Area, Jingchen Dai, Ruimin Li Dec 2019

Microscopic Simulation Based Evaluation Of Congestion Pricing For Beijing Urban Area, Jingchen Dai, Ruimin Li

Journal of System Simulation

Abstract: In order to study the potential effect of congestion charging policy in large-scale road network, a micro-simulation platform Paramics is used to establish a simulation model within Beijing fourth ring road. On this basis, multiple congestion pricing scenarios are assessed in consideration of charging zones size, charging rate, and travel mode shift. When the travel mode shift is put aside, the analysis shows that selecting a larger charging zone is more effective on reducing vehicle kilometers of travel and may increase the total charge revenue. However, congestion pricing appears no potential to significantly affect the average speed of …

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Numerical Simulation Of Rock Breaking Mechanism For Compound Percussion Drilling, Yumei Li, Liwei Yu, Zhang Tao, Su Zhong, Jianming Liu Dec 2019

Numerical Simulation Of Rock Breaking Mechanism For Compound Percussion Drilling, Yumei Li, Liwei Yu, Zhang Tao, Su Zhong, Jianming Liu

Journal of System Simulation

Abstract: The ABAQUS dynamic impact module is used to establish the numerical calculation model for PDC single tooth-rock impact. The effects of PDC cutting teeth on the dynamic rock breaking mode and rock breaking effect under the combined action of rotating speed, drilling pressure, alternating impact torque and alternating impact force are studied. The study shows that the torsional impact mode is 39.28% higher than the rock breaking efficiency of the rotary impact, and the compound percussion mode is 27.79% higher than the rock breaking efficiency of the torsional impact. Under the same conditions of impact time, the rock surface …

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Design Of Imu Dynamic Coefficient Calibration Based On Reduced Space Search Algorithm, Hongyan Yan, Zhang Yu, Weihua Zhu, Shi Ming, Yexin Zhang Dec 2019

Design Of Imu Dynamic Coefficient Calibration Based On Reduced Space Search Algorithm, Hongyan Yan, Zhang Yu, Weihua Zhu, Shi Ming, Yexin Zhang

Journal of System Simulation

Abstract: In order to improve the dynamic error coefficient speed of the calibration strapdown inertial group, a dynamic error model is established in the inertial navigation system. The Kalman filter is used to reflect the observation degree of the error term to determine the objective function of the optimal algorithm. The penalty function for the reduced space search algorithm is improved by genetic algorithm. At the end, it not only gets rid of the interference of the local pseudo-optimal solution, but also improves the recognition speed when it is close to the optimal solution. Compared with the solution …

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Research On Nondestructive Blood Glucose Cloud Detection System Based On Improved Deep Regression Network, Mengjia He, Yingnian Wu, Yang Rui Dec 2019

Research On Nondestructive Blood Glucose Cloud Detection System Based On Improved Deep Regression Network, Mengjia He, Yingnian Wu, Yang Rui

Journal of System Simulation

Abstract: Invasive blood glucose measurement has a strong sense of discomfort and risk of infection, so the study of non-invasive blood glucose has a strong practical significance. At present, the optical method is not convenient for practical use, and the energy conservation method requires strict requirements. In view of the above problems, infrared thermography is used to detect blood glucose. After acquiring infrared thermal images of face figure, we extract the gray feature and reduce its dimension. In order to speed up the training and prevent over fitting, depth regression network is improved to model the infrared thermal image gray …

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Short-Term Wind Power Prediction Based On Improved Firefly Algorithm, Jiale Ding, Guochu Chen, Kuo Yuan Dec 2019

Short-Term Wind Power Prediction Based On Improved Firefly Algorithm, Jiale Ding, Guochu Chen, Kuo Yuan

Journal of System Simulation

Abstract: A wind power prediction model based on improved complementary set empirical mode decomposition and improved firefly algorithm to optimize echo state network is proposed to solve the problems of low accuracy in wind power with large randomness and strong volatility prediction of traditional echo state network prediction model. The wind speed series are decomposed into a series of intrinsic modes by using the improved complementary ensemble empirical mode decomposition. The new modes are used to predict wind power by using echo state network, the optimal weight of the model is found by the improved firefly algorithm. The output results …

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Research On Simulation Optimization Of Disk-Based Storage Operation Mode In Warehouse, Danlan Xie, Liu Meng, Haihong Yu, Chen Jing, Yubo Zhou, Kazi Mohiuddin Dec 2019

Research On Simulation Optimization Of Disk-Based Storage Operation Mode In Warehouse, Danlan Xie, Liu Meng, Haihong Yu, Chen Jing, Yubo Zhou, Kazi Mohiuddin

Journal of System Simulation

Abstract: As the efficiency of operation affects the overall competitiveness of the port, it is very necessary to design the storage operation mode reasonably. A disk-based storage operation mode is proposed. And the simulation model is established by using the logistics simulation software FlexSim based on the operational requirements of the warehouse. Through a large number of simulation experiments, comparing the primary storage mode with the disk-based storage mode, the results of the increase in total idle rate and the more balanced distribution of each hour utilization ratio of the forklifts are obtained. The result verifies the feasibility and effectiveness …

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Direct Torque Control Technology For Permanent Magnet Synchronous Motor Based On Svpwm, Yin Xing, Dengke Yuan, Yongcheng Zhen, Zhongshu Shao, Xiangjie Lü Dec 2019

Direct Torque Control Technology For Permanent Magnet Synchronous Motor Based On Svpwm, Yin Xing, Dengke Yuan, Yongcheng Zhen, Zhongshu Shao, Xiangjie Lü

Journal of System Simulation

Abstract: The traditional direct torque control technology of permanent magnet synchronous motor utilizes the results of torque and flux linkage hysteresis comparison, and directly controls the torque by looking up the voltage vector. Though this algorithm is simple, its current waveform distortion and torque ripple is more serious, which is very unfavorable for actual motor control. In this case, by analyzing the shortcomings of traditional direct torque control, SVPWM technology is introduced into direct torque control, and the original look-up table module is replaced by SVPWM module. A simulation model is established for comparative analysis in MATLAB/Simulink, PMSM direct …

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Path Planning For Mobile Sink Based On Enhanced Ant Colony Optimization Algorithm In Wireless Sensor Networks, Shanshan Ji Dec 2019

Path Planning For Mobile Sink Based On Enhanced Ant Colony Optimization Algorithm In Wireless Sensor Networks, Shanshan Ji

Journal of System Simulation

Abstract: To reduce the energy consumption and sink mobile distance of mobile sink wireless sensor networks simultaneously, a path planning algorithm for mobile sink based on enhanced ant colony optimization algorithm in wireless sensor networks is proposed. Genetic operators are introduced to ant colony optimization algorithm in order to prevent ant colony optimization premature. The non-uniform of data distribution is considered as the constraint condition, the network lifetime and sink mobile distance are considered as a multi-objective problem, and the enhanced ant colony optimization is adopted to search the Pareto sub-optimal sets of rendezvous points. The simulation results show that …

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Attitude Control Of Hypersonic Vehicle Considering Input Saturation, Xiaocen Liu, Yunjie Wu, Xu Peng Dec 2019

Attitude Control Of Hypersonic Vehicle Considering Input Saturation, Xiaocen Liu, Yunjie Wu, Xu Peng

Journal of System Simulation

Abstract: Aiming at the design of attitude control of hypersonic vehicles, the sliding mode disturbance observer is used to compensate the composite disturbance, meanwhile the dynamic surface control method is used to deal with the design of the nonlinear control system. Considering the input saturation problem, the control input is expanded into a new variable to design the controller, which is different from the direct limit of the rudder deviation. The simulation results show that the dynamic surface control method based on sliding mode observer has stronger robustness than the simple dynamic inversion control method, but the control inputs of …

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Fault Identification Of High-Speed Train Bogie Based On Siamese Convolutional Neural Network, Yunpu Wu, Weidong Jin, Junxiao Ren Dec 2019

Fault Identification Of High-Speed Train Bogie Based On Siamese Convolutional Neural Network, Yunpu Wu, Weidong Jin, Junxiao Ren

Journal of System Simulation

Abstract: The performance degradation and failure of high-speed train bogie components will threaten the operation security of train. This paper proposes a fault type identification method based on siamese convolutional neural network to address the scarcity of data and the high-dimension of monitoring signals. Deep residual network with one-dimension convolution layers is employed for features extraction and fusion of vibration signals from multiple sensors. The siamese structure is employed to obtain the similarities between samples. Fault types are identified by ranking similarities in the support set. The experimental results show that the proposed method can identify the fault types with …

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Size Optimization Method Of 6r Manipulator Based On Global Maneuverability, Xianhua Li, Xuesong Shi, Lü Lei, Leigang Zhang, Song Tao Dec 2019

Size Optimization Method Of 6r Manipulator Based On Global Maneuverability, Xianhua Li, Xuesong Shi, Lü Lei, Leigang Zhang, Song Tao

Journal of System Simulation

Abstract: Aiming at the six-DOF manipulator of service robot, the structure size parameters are optimized and analyzed. The global manipulability index of the manipulator workspace is defined, the coordinate system of the position and attitude is established, and the reachability of the position and attitude is calculated with the inverse solution of the manipulator, and the global manipulability index of the manipulator is proposed. Taking the maximum value of this index as the optimization target, the size parameters of the connecting rod of the manipulator are optimized by genetic algorithm, the size of the optimized connecting rod and the global …

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The Grey-Box Based Modeling Approach Research Integrating Fusion Mechanism And Data, Bin Chen, Xiaodong Wang, Rongxiao Wang, Xiaogang Qiu, Zhengqiu Zhu, Ma Liang Dec 2019

The Grey-Box Based Modeling Approach Research Integrating Fusion Mechanism And Data, Bin Chen, Xiaodong Wang, Rongxiao Wang, Xiaogang Qiu, Zhengqiu Zhu, Ma Liang

Journal of System Simulation

Abstract: With the deep understanding of world, modeling and simulation have been used to solve the problems of complex systems. The simulation models are used to model the engineering systems which follow newton laws. The modeling approach is called white-box modeling, while the black-box modeling is used to model the systems of which the internal structure and characteristics are not clear. The black-box modeling is based on statistics and data modeling. This paper discusses the deficiencies of the white-box and black-box modeling approaches first. The Grey-box based modeling approach integrating both fusion mechanism and data model is proposed. In …

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Quality Control Method Based On Quantum Genetic Clustering Algorithm, Wang Jie, Wang Yan Dec 2019

Quality Control Method Based On Quantum Genetic Clustering Algorithm, Wang Jie, Wang Yan

Journal of System Simulation

Abstract: This paper proposes a method of quality control chart recognition based on Quantum Genetic Clustering Algorithm. This method is divided into two parts: quality feature extraction and pattern classification. By combining Quantum Genetic Algorithm(QGA) and K-means algorithm, a quantum genetic clustering algorithm based on a mechanism for determining the rotation direction of a quantum rotary gate is proposed, and its performance is verified by experimental simulation. Based on the clustering analysis of quality data using the quantum genetic algorithm proposed in this paper, a control chart feature description method is proposed. With this feature as input, Support Vector …

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Research On Extraction Method Of Time-Frequency Feature Of Fall Detection, Tianrun Wang, Su Zhong, Liu Ning, Li Chao, Guodong Fu Dec 2019

Research On Extraction Method Of Time-Frequency Feature Of Fall Detection, Tianrun Wang, Su Zhong, Liu Ning, Li Chao, Guodong Fu

Journal of System Simulation

Abstract: Aiming at the problem of features extract method for fall detection, the method using time-frequency analyze and features extraction by Fractional Fourier Transform (FRFT) has been proposed. The inertial data is measured by 15 IMU wearing on body, the features extracted after FRFT with multiple order are analyzed and compared. The difference of feature distribution of eight fall actions has been compared, and the difference of feature distribution between fall action and 4 normal actions has been compared. The feasibility of using FRFT in fall detection is proved.

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Intelligent Collaborative Networking Method For Workshop Emergencies, Kong Tao, Wang Yan Dec 2019

Intelligent Collaborative Networking Method For Workshop Emergencies, Kong Tao, Wang Yan

Journal of System Simulation

Abstract: Due to the complex environment of intelligent manufacturing workshop, abnormal emergencies will cause huge security threats and economic losses to the workshop. It is difficult to transmit the abnormal event data continuously, quickly and completely in the workshop production site, and the fluctuation of abnormal event data is great with high requirements on the integrity and real-time of data transmission. In this paper, a multi-agent cooperative networking method for workshop emergencies is proposed. Mobile robots are introduced as intermediary Sink nodes for data transmission between sensor networks and the Internet. In case of emergencies, the intelligent node and cluster …

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Modeling Indoor Environment With Kinect, Lianrui Xu, Jinming Zhang Dec 2019

Modeling Indoor Environment With Kinect, Lianrui Xu, Jinming Zhang

Journal of System Simulation

Abstract: To solve the problems of point cloud noise, depth data mismatching and local details prone to hollowing in the process of Kinect camera reconstruction of indoor three-dimensional environment. By improving the assignment method of depth image pixel and the threshold relationship of time frame matching, this paper denoises the point cloud with optimizing mean filtering and time frame weighting methods. Combined with recent iteration algorithm (Iterative Closest Point, ICP) to complete the adjacent point cloud splicing so that it can achieve completely indoor model to build 3D environment. To test the validity of the algorithm, the experiment of …

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