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IEEE International Conference on Unmanned systems (ICUS)

作者： Li Jing Shen Chao Tong JiaHui Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing Electro-Mechanical Engineering Institute Beijing China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

In this paper, the composition and operation mechanism of a multi-aircraft cooperative simulation system is analyzed, with its formal architecture identified as a discrete event system & differential equation system specifications (DEV&DESS). Then, the operation and control problem of the cooperative simulation system is converted into the simulation control problem of a specific DEV&DESS system. A coordinator-based test method for cooperative simulation is proposed and validated by tests of real-time mathematical simulation.

关键词： aircraft control control system synthesis differential equations discrete event simulation discrete event systems Aircraft control discrete event systems control system synthesis discrete event simulation Differential equations Simulation systems Differentiation Test Method

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A Noise Filter for Dynamic Vision Sensor Based on Spatiotemporal Correlation and Hot Pixel Detection

A Noise Filter for Dynamic Vision Sensor Based on Spatiotemp...

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International Conference on Autonomous Unmanned systems, ICAUS 2021

作者： Xu, Ninghui Zhao, Jiajia Ren, Yuan Wang, Lihui Key Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology Ministry of Education School of Instrument Science and Engineering Southeast University Nanjing210096 China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (纸本)9789811694912

As a new type of neuromorphic sensor, the events-driven Dynamic Vision Sensor (DVS) has the advantages of low latency and wide dynamic range. The development of DVS overcomes the application limitations of traditional cameras in the field of high speed robots and autonomous driving. However, there are abundant unwanted noise events contained in the output of DVS, which severely affects the subsequent data-processing. To tackle the problem, a novel noise filter for DVS is proposed in this paper. Firstly, since the noise is composed of hot pixel events with high-frequency and random background activities, a time window is constructed to continuously detect hot pixels. Secondly, a spatiotemporal correlation-based denoising approach for each incoming event is conducted, while excluding its surrounding hot pixels, to avoid the negative effect caused by their high temporal correlation on the filter. Finally, the hot pixels are compensated with the events that are most probably to occur depending on the adjacent events, to achieve the completeness and precision of the output event stream. Experiments in different scenes demonstrate that the proposed noise filter can effectively eliminate the noise from the event stream of DVS and obviously outperforms the baseline method. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Pixels

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Optimal Trajectory Generation of UAV Considering Attitude Constraints

Optimal Trajectory Generation of UAV Considering Attitude Co...

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International Conference on Guidance, Navigation and control, ICGNC 2020

作者： Liu, Chunjing Zhou, Hao Dong, Xiaofei Wang, Dongbin School of Astronautics Beihang University Beijing102206 China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China School of Automation Science and Electrical Engineering Beihang University Beijing100083 China

ISBN: (纸本)9789811581540

The six degrees of freedom (6-DOF) trajectory planning of quadrotors with attitude constraints is studied. Based on active disturbance rejection control (ADRC) technology, a controller for quadrotors that can track both position and attitude is designed. Firstly, the nonlinear dynamic model of quadrotors is established. Next, the optimal trajectory with attitude constraints is solved under different performance indexes. Finally, based on ADRC method, a 6-DOF tracking control algorithm for quadrotors is designed. The control effect is simulated and compared with the traditional linear control method. The results indicate that ADRC method has superior control accuracy and stability for quadrotors with large attitude maneuvers. © 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Unmanned aerial vehicles (UAV)

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Heterogeneous Unmanned Aerial Vehicles Cooperative Search Approach for complex Environments

arXiv

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arXiv 2023年

作者： Liu, Zhenchang Hao, Mingrui Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

This paper studies a heterogeneous Unmanned Aerial Vehicles (UAVs) cooperative search approach suitable for complex environments. In the application, a fixed-wing UAV drops rotor UAVs to deploy the cluster rapidly. Meanwhile, the fixed-wing UAV works as a communication relay node to improve the search performance of the cluster further. The distributed model predictive control and genetic algorithms are adopted to make online intelligent decisions on UAVs’ search directions. On this basis, a jump grid decision method is proposed to satisfy the maneuverability constraints of UAVs, a parameter dynamic selection method is developed to make search decisions more responsive to task requirements, and a search information transmission method with low bandwidth is designed. This approach can enable UAVs to discover targets quickly, cope with various constraints and unexpected situations, and make adaptive decisions, significantly improving the robustness of search tasks in complex, dynamic, and unknown environments. The proposed approach is tested with several search scenarios, and simulation results show that the cooperative search performance of heterogeneous UAVs is significantly improved compared to homogeneous UAVs. © 2023, CC BY.

关键词： Genetic algorithms

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Anti-bias Target Association Method Based on Laplacian Spectrum and Kuhn-Munkres Algorithm 1

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3rd International Conference on Autonomous Unmanned systems, ICAUS 2023

作者： Bai, Xiaomeng Xu, Cheng Fu, Wenxing Guan, Xujun Zhang, Hang Fu, Wenxing Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China Beijing Electro-Mechanical Engineering Institute Beijing100074 China Unmanned System Research Institute Northwestern Polytechnical University Xi’an710072 China

ISBN: (数字)9789819710911

ISBN: (纸本)9789819710904

In the problem of collaborative situational awareness, the single sensor inevitably has random errors, systematic errors, false alarms, and missed alarms. To improve the accuracy of target association in the above cases, this paper proposes an anti-bias target association method based on the Laplacian spectrum and Kuhn-Munkres (KM) algorithm. The main contributions of the paper include addressing the coupling problem between system error calibration and target association through two stages, focusing on the structural characteristics of the target formation in the first stage and the absolute position of the target itself in the second stage. The algorithm takes into account both factors and achieves accurate association under complex errors. The test results demonstrate that the proposed method effectively improves the accuracy of anti-bias target association. © Beijing HIWING Scientific and Technological Information Institute 2024.

关键词： systematic errors

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Remote Sensing Image Object Detection Algorithm Based on Receptive Field Enhancement

Remote Sensing Image Object Detection Algorithm Based on Rec...

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International Conference on Autonomous Unmanned systems, ICAUS 2021

作者： MingJun, Liu Yun, Zhang Rui, Zhang Cheng, Xu Beijing Electro-Mechanical Engineering Institute Beijing10074 China Science and Technology on Complex System Control and Intelligent Agent Corporation Laboratory Beijing10074 China

ISBN: (纸本)9789811694912

Small object detection algorithm is always a difficult research topic in remote sensing images. A remote sensing image object detection algorithm which is based on receptive field enhancement is proposed in this paper. Firstly, the backbone network is the SSD net. In order to form the feature map pyramid, the receptive field enhanced convolution module is added in feature extraction. Then, the feature maps of the low-level and the high-level are spliced, so he output feature map retains the rich context information. Because it contains the information in the low-level feature map and the high-level feature map, which are location information and semantic information, respectively. Finally, based on the idea of dilated convolution, the receptive field enhancement module is designed to make the receptive field of the feature map larger. And the feature information is filtered to reduce the aliasing effect when the feature map is spliced. After the experimental result on remote sensing image dataset NWPU vhr-10, the average detection accuracy of the algorithm is 90%, which improves the object detection accuracy, especially the detection accuracy of the small objects. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Convolution

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A Cooperative Position Method of Two Aircraft Under the Condition of Giant Inertial Dispersion 11th

A Cooperative Position Method of Two Aircraft Under the Cond...

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11th China Conference on Command and control, C2 2023

作者： Peng, Siting Li, Lei Ren, Jun Zhu, Hongbo Yang, Jiabin Beijing Electro-Mechanical Engineering Institute Beijing100074 China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China School of Electronics and Information Engineering Beihang University Beijing China

ISBN: (纸本)9789819990207

In this paper, based on the condition that the inertial navigation system loaded on the aircraft has giant dispersion, and the aircraft need to detect, track and attack a target, thus the relative position relation needs to be calculated precisely. How to estimate the problem becomes a difficult obstacle. This article describe the demand faced in the weapon engineer field and provide some solutions feasibly in the practical engineering, three mathematical method are modelled and the readers can choose the suitable scheme according to the detector performance. The un-linear filter method like unscented and cubature kalman filter are used in combination with the state and observation equation. The simulation results show that the modelling methods are observable and the filter method is adaptive to the motion method, therefore the algorithm elaborated in the thesis is of practical significance to the engineer project. © Chinese Institute of Command and control 2024.

关键词： Aircraft

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An Iterative Closest Points Optimization Algorithm for Localization of Mecanum-wheeled Robots

An Iterative Closest Points Optimization Algorithm for Local...

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第三十八届中国控制会议

作者： Ning Hao Rui Xing Qi Zhao Fenghua He Hang Zhang Harbin Institute of Technology Complex System Control and Intelligent Agent Cooperation Laboratory

Over the last years, optimization based estimation methods have been applied with great success to a variety of state estimation problems. In this paper, we propose an optimization algorithm to solve the localization problem of Mecanumwheeled robots in a structured environment based on combination of odometer and laser lidar. First, provide the configuration of the mobile robot and the expression of localization problem based on probability form. Secondly, the optimization cost function is derived from the perspective of maximum posterior estimation. And then an iterative closest points optimization algorithm is proposed to address the combination optimization problem. Finally, simulation experiments are designed and implemented to validate the proposed algorithm.

关键词： localization state estimation iterative closest points optimization Mecanum-wheeled robot

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UAV Typical Index Evaluation Method Based on Improving Evidence Theory

UAV Typical Index Evaluation Method Based on Improving Evide...

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International Conference on Autonomous Unmanned systems, ICAUS 2021

作者： Geng, Huapin Suo, Bin Tong, Jiahui Science and Technology on Complex System Control and Intelligent Agent Cooperative Laboratory Beijing China Beijing Electro-Mechanical Engineering Institute Beijing China Southwest University of Science and Technology Mianyang China

ISBN: (纸本)9789811694912

It is an effective way to get more accurate results of UAV performance evaluation by fusing the data of infield test and outfield test. The common Bayes multi-source data fusion method can make comprehensive use of multiple information types while ensuring the decision risk as small as possible, but there are some risks, such as insufficient data utilization and small sample data being "submerged" by large sample data in the fusion. Due to the different scale and credibility of multi-source data, a non-uniform distribution probability sampling method is proposed based on evidence theory for the same sample space to avoid the risk of small sample data being "drowned" by large sample data;meanwhile, for the situation that the fusion weight mainly depends on the evaluation of experts is not objective enough, a comprehensive weight confirmation method of multi-source test data is proposed based on credibility measurement so as to realize the comprehensive evaluation of performance indicators based on multi-source data. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Unmanned aerial vehicles (UAV)

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A Parallel Mapping and Planning Strategy for Micro Aerial Vehicle

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Guidance, Navigation and control 2022年第2期2卷 125-145页

作者： Zhuo Wang Qun Zong Hongming Shen Bailing Tian Hanchen Lu School of Electrical and Information Engineering Tianjin UniversityTianjin 300072P.R.China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing Electro-Mechanical Engineering Institute Beijing 100083P.R.China

Autonomous fight is a fundamental problem for various saplications of miaro aerial vehicles(MAVs).Thanks to the dewvelopment of *** and control(GNC)techndogle,the rsearch on this problem i abo becoming ***,safe fight in unknown,dut tered enviouments remains an open question,epeaially with real-time reguirement on onboard *** paper propoes a framnework including prlelly mapping and planning and implements it on Graphics Pmocessing Unit(GPU).First,a spherical coomlinate proijection is used in the ocupency grid map to avold menory *** that,in the planning phase,a method baed on latice state space sampling is applied to obtain mutiple rajectorfe ***,we design a series of aoft constraints to ensure that the MAV is in a safe known space with optimal *** solving the cost for each trajectory and comparison,the optimal trajectory can be *** efectivenes of the propeed strategy is demonstrated through simulation testa.

关键词： Motion planning lattice planner parallel processing

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