An approach is proposed for improving the solvability of the data discrimination problem through nonparametric Wilcoxon sign ranks criterion under cases with singularities in compared data samples of the type 39;ver...
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In this paper we propose a novel approach for upgrading real time 3D dynamic object detection methods operating on rotating multi-beam (RMB) Lidar measurements using 3D background city maps stored in new generation ge...
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Legged motion has significant advantages over traditional locomotion techniques. Research and development on it have been constantly improving over the last couple of decades. Though there are numerous techniques in d...
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Legged motion has significant advantages over traditional locomotion techniques. Research and development on it have been constantly improving over the last couple of decades. Though there are numerous techniques in developing legged biped motion, none of them is fully satisfactory. The main aspects of legged motion are active balancing, smooth pattern generation and control. These play an important role in legged motion and there are numerous techniques developed to achieve it. The research that is shown in this project is to implement model-based design methodology in developing ZMP stability algorithm. The main area that is been concentrated in the implementation of hardware-in-loop (HIL) simulation using an xPC - target computer. The robot walking gait is generated by developing a Simulink plant model where the joint angles are tested on a virtual simulation platform.
In the current study, the surface finish of specimens fabricated with PolyJet 3D Printing Direct process is discussed. Three surface roughness indicators were measured at three positions, while three process parameter...
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Applications of continuum robot in the field of robotics facility have been advancing at a staggering pace due to their flexibility. The ability to control the continuum robot remotely and efficiently would be benefic...
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ISBN:
(纸本)9781450376259
Applications of continuum robot in the field of robotics facility have been advancing at a staggering pace due to their flexibility. The ability to control the continuum robot remotely and efficiently would be beneficial for many practical case, for example usage in narrow space, endoscopic and minimally invasive surgical procedures application. The ability to glide through complex curvilinear pathways makes it ideally suitable to be used with solar cell application as it could offer the movement that can follow the sun motion. This could enhance the efficiency of energy transformation of the solar cell as optimum radiation distance could be obtained. In this paper, the design of continuum robot with motion control to be used as solar cell installation supporting structure would be discussed. The continuum robot movement is controlled by an elastic backbone-liked structure. The controller is designed for closed loop control using Arduino programming. The effect of solar cell weight on the top with the maximum of 3 kg is considered. The structure movement required include bending, rotating, extension and compression. The research results showed that the designed system has a potential to be used as a solar cell installation support with smooth motion.
In this work, we propose the Depth Generation Network (DGN) to address the problem of dense depth estimation by exploiting the variational method and the deep-learning technique. In particular, we focus on improving t...
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ISBN:
(纸本)9781538660263
In this work, we propose the Depth Generation Network (DGN) to address the problem of dense depth estimation by exploiting the variational method and the deep-learning technique. In particular, we focus on improving the feasibility of depth estimation under complex scenarios given stereo RGB images, where the stereo pairs and/or depth ground-truth captured by real sensors may be deteriorated;the stereo setting parameters may be unavailable or unreliable, hence hamper efforts to establish the correspondence between image pairs via supervision learning or epipolar geometric cues. Instead of relying on real data, we supervise the training of our model using synthetic depth maps generated by the simulator, which deliver complex scenes and reliable data with ease. Two non-trivial challenges, i.e., (i) attaining reasonable amount yet realistic samples for training, and (ii) developing a model that adapts to both synthetic and real scenes arise, whereas in this work we mainly deal with the later one yet leveraging state-of-the-art Falling Things (FAT) dataset to overcome the first. Experiments on FAT and KITTI datasets demonstrate that our model estimates relative dense depth in fine details, potentially generalizable to real scenes without knowing the stereo geometric and optic settings.
In the grass-roots units, the speed of equipment identification directly affect the accuracy and timeliness of equipment maintenance. In this paper, several now-existing methods of identification are aggregated and co...
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ISBN:
(纸本)9781450365307
In the grass-roots units, the speed of equipment identification directly affect the accuracy and timeliness of equipment maintenance. In this paper, several now-existing methods of identification are aggregated and combed. The problems in the supply-level application of the spare parts are found, and a method for identifying the equipment entities called "Unlabeled Identification Technology of Equipment Based on Machine Vision" is proposed. In addition, the advantages of the method, which is very beneficial to the promotion of battlefield support ability, are obtained by comparing the differences between the old and new methods.
Aiming at the mainlobe jamming problem of monopulse radar, based on the method of dual polarization decoupling estimation, a design scheme of angle measurement system for dual polarization monopulse radar in mainlobe ...
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ISBN:
(纸本)9781450365307
Aiming at the mainlobe jamming problem of monopulse radar, based on the method of dual polarization decoupling estimation, a design scheme of angle measurement system for dual polarization monopulse radar in mainlobe jamming is proposed. The monopulse radar is changed to the dual polarization receiving mode. Combined with the goniometry algorithm, the coupling error of the jamming on the target angle estimation can be eliminated and the target identification and tracking can be completed effectively.
When the distance information is used for localization, due to the influence of system equipment and environmental disturbance, the distance measured will introduce error, which affects the localization accuracy. Base...
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ISBN:
(纸本)9781450365307
When the distance information is used for localization, due to the influence of system equipment and environmental disturbance, the distance measured will introduce error, which affects the localization accuracy. Based on the multi-sensor network technology, the traditional range localization method is improved in this paper. A rapid localization method of radiation sources used for multi-sensor networks is provided, which can accomplish the target location of the radiation source effectively and improve the localization accuracy.
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