In this paper, a new distributed algorithm is presented to achieve the consensus of time variations and that of initial time simultaneously. By combining bothcontroller and estimator design methods, it obtains higher...
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ISBN:
(纸本)9781509035496
In this paper, a new distributed algorithm is presented to achieve the consensus of time variations and that of initial time simultaneously. By combining bothcontroller and estimator design methods, it obtains higher synchronization precision with stronger robustness against noisy inputs resulted from crystal oscillators. Furthermore, the control input is ensured bounded to make our algorithm realizable in practical implementation. the implementation of the algorithm allows the receiving end to be event-triggered, while the transmitting end is executed periodically. the performance of the algorithm is illustrated by the given numerical simulations.
this paper makes research on two schemes of autonomous vision-based absolute navigation for Unmanned Aerial Vehicle (UAV): the Imaging Position of Landmark/Altimeter/IMU (IPLAI) based navigation, and the Imaging Posit...
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ISBN:
(纸本)9781509035496
this paper makes research on two schemes of autonomous vision-based absolute navigation for Unmanned Aerial Vehicle (UAV): the Imaging Position of Landmark/Altimeter/IMU (IPLAI) based navigation, and the Imaging Position of Landmark/Optical Flow/Altimeter/IMU (IPLOFAI) based navigation. Firstly, the models of two autonomous vision-based absolute navigation systems are established. Secondly, the observability matrixes of two navigation systems are derived according to the differential geometric theory, and then the observability of the two navigation systems based on the condition number of the observability matrixes is carried on the quantitative analysis. thirdly, the corresponding navigation EKFs (Extended Kalman Filters) are designed to get the absolute position and velocity estimations of the UAV. At last, the correctness of the observability analysis and the designed navigation filters of the two navigation systems are verified through simulation experiment.
In this paper, we accomplish simultaneous localization and mapping using the monocular LSD-SLAM. this method is different with feature method, estimating the accurate and reconstructing the large scale environment map...
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ISBN:
(纸本)9781509035496
In this paper, we accomplish simultaneous localization and mapping using the monocular LSD-SLAM. this method is different with feature method, estimating the accurate and reconstructing the large scale environment map. Using the direct image alignment, the environment can be mapped in pose-graph of key frames semi-dense maps. the LSD-SLAM contains two advantage. A novel direct tracking method can definitely estimate the scale-drift. In addition, the probabilistic estimation can optimize the effect of noisy depth values on tracking. the experiment showed the LSD-SLAM is reliability, robustness and real-time
In this paper, based on the virtual scene images generated by the Unity3D engine, a target tracking realization method in UAV(Unmanned Aerial Vehicle) simulation training system is proposed. To realize the target trac...
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ISBN:
(纸本)9781509035496
In this paper, based on the virtual scene images generated by the Unity3D engine, a target tracking realization method in UAV(Unmanned Aerial Vehicle) simulation training system is proposed. To realize the target tracking steadily, the LOS(line of sight) tracking model utilizing the target pixel offset in the consecutive frame image and the velocity tracking model are established. Meanwhile, a digital integral algorithm is applied to reduce the errors of the tracking. the experimental results show that the method given in this paper can drive the virtual camera optical axis to keep the step of LOS and realize the target tracking efficiently.
Macroscopic fundamental diagram (MFD) that describes traffic flow in an urban road network can be used to design perimeter control method to regulate the traffic flow from a macroscopic level. Most of the perimeter co...
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ISBN:
(纸本)9781509035496
Macroscopic fundamental diagram (MFD) that describes traffic flow in an urban road network can be used to design perimeter control method to regulate the traffic flow from a macroscopic level. Most of the perimeter control algorithms are regarded as a kind of model-based feedback control method, whose performance is hardly to improve in practice due to the model uncertainty. By noticing the repetitive nature of urban traffic flow, an iterative learning control (ILC) based perimeter control method is proposed for an urban region. Since the repetitive information of the controlled system is fully utilized, an improved tracking performance is guaranteed by theoretical analysis, and simulation results verify the effectiveness of the proposed perimeter control method.
Spacecrafts, which are used for stereoscopic mapping, imaging and telecommunication applications, require fine attitude and stabilization control which has an important role in high precision pointing and accurate sta...
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ISBN:
(纸本)9781509035496
Spacecrafts, which are used for stereoscopic mapping, imaging and telecommunication applications, require fine attitude and stabilization control which has an important role in high precision pointing and accurate stabilization. the conventional techniques for attitude and stabilization control are thrusters, reaction wheels, control moment gyroscopes (CMG) and magnetic torquers. Since reaction wheel can generate relatively smaller torques, they provide very fine stabilization and attitude control. Although conventional PID framework solves many stabilization problems, it is reported that many PID feedback loops are poorly tuned. In this paper, a model reference adaptive LQR control for reaction wheel stabilization problem is implemented. the tracking performance and disturbance rejection capability of proposed controller is found to give smooth motion after abnormal disruptions.
Nowadays, the development of Intelligent Transportation System (ITS) is increasing due to its versatility, adaptability and use of clean energy. there are a number of pass and on-going projects worldwide dealing with ...
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ISBN:
(纸本)9781509035496
Nowadays, the development of Intelligent Transportation System (ITS) is increasing due to its versatility, adaptability and use of clean energy. there are a number of pass and on-going projects worldwide dealing withthe different challenges and approaches to solve road transport-related issues. Some of them are dealing withthe Cybernetic Transportation Systems (CTS), which is an urban mobility concept based on the automation of door-to-door transport systems i.e. the Cybercars as a two-passenger CTS. this paper presents the functional architecture of the CTSs and the development of an automated global planner. Specifically, a new approach that considers the automatization of the global planner stage, which allows path calculations and modifications in real time, considering on-demand stopping points. the experimental tests show a proper behaviour in our facilities at INRIA-Rocquencourt (France).
An underwater object location method based on binocular stereo vision and artificial auxiliary interaction is proposed. Firstly, the calibration principle and basic model of binocular stereo vision are given, and the ...
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An underwater object location method based on binocular stereo vision and artificial auxiliary interaction is proposed. Firstly, the calibration principle and basic model of binocular stereo vision are given, and the relationship between binocular disparity and depth is deduced in detail. then, a special underwater camera (Nano SeaCam) is used, and we can calibrate the camera directly underwater. After that, the parameters of the camera are obtained to rectify the underwater images. Further, according to the characteristics of underwater ROV (Remote Operated Vehicle), we use the method of artificial interaction to select the corresponding pixels of left and right view images, and then use the distance measurement algorithm to calculate the target distance. the experimental results show that this method can achieve the proper effect of measuring distance underwater, and the accuracy can meet the practical requirements, which is feasible and efficient.
the development of Advanced Driver Assistance Systems (ADAS), such as pedestrian detection, requires real-time update rates at high image resolution. Hopefully, heterogeneous architectures with high computing performa...
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ISBN:
(纸本)9781509035496
the development of Advanced Driver Assistance Systems (ADAS), such as pedestrian detection, requires real-time update rates at high image resolution. Hopefully, heterogeneous architectures with high computing performance have been developed for this purpose. To benefit from this hardware performance, different programming languages and acceleration frameworks have been developed. OpenVX framework provides a graph-based execution model to program image processing algorithms on heterogeneous platforms. In this work, we investigate OpenVX optimizations for computer vision applications. We examine how this framework responds to different data access patterns. We test three important optimizations of OpenVX: kernels merge, data tiling and parallelization via OpenMP. the contribution and the impact of each optimization on different data access pattern are explained.
In this paper, the distributed control of micro-grids is regarded as the consensus problem for a class of nonlinear multi-agent systems. An effective distributed adaptive control strategy is proposed based only on loc...
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ISBN:
(纸本)9781509035496
In this paper, the distributed control of micro-grids is regarded as the consensus problem for a class of nonlinear multi-agent systems. An effective distributed adaptive control strategy is proposed based only on local information of the network structure. Dynamics of agents are assumed to be unknown and estimated by Neural Networks. the leader is ultimately followed by the followers with bounded synchronization error. To verify the effectiveness of the cooperative tracking adaptive controller, one simulation in micro-grid system is given finally.
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