Volumetric mapping is essential for recognizing the 3D environment and consequentially for the decision making process for special-task mobile robots (such as stair climbing, inspection, or search and rescue). In this...
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In this paper a visual Simultaneous Localization and Mapping (SLAM) algorithm suitable for indoor area measurement applications is proposed. The algorithm is focused on computational effectiveness. The only sensor use...
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The ball grid array (BGA) has become one of the most popular packaging alternatives for high I/O devices in the industry with many advantages: high interconnection density and less packaging space and so on. In these ...
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This paper addresses the problem of avoiding dynamic obstacles while following the learned trajectory through non-point based maps directly through laser data. The geometric representation of free configuration area c...
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A means has been discovered to apply gear pairing to create a one degree of freedom open-loop spatial mechanism. A specially chosen geometry consisting of three pairs of parallel joint axes is constricted by five sets...
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This paper describes an ongoing project for recording examination attendance using Radio Frequency Identification (RFID). The project is carried out to test in a university, where the system which is named Portable Ex...
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In this paper, we present a Bayesian framework for recovering the occluded facial image without the aid of manual face alignment or user-specified occlusion region. The proposed Bayesian framework unifies the recovery...
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In this paper, we present a Bayesian framework for recovering the occluded facial image without the aid of manual face alignment or user-specified occlusion region. The proposed Bayesian framework unifies the recovery stage with face alignment and occlusion detection, and such complex probability distribution is represented by a particle set. Into this framework, each particle is one possible solution of the recovered face which is composed of several patches. First, the occluded facial patches of each particle are detected, and then are recovered by inferring their local facial details from other non-occluded patches. Further, by including the global facial geometry as a constraint, the recovered results are robust to the local image noise which then cause the alignment parameters are accurately calculated. Particularly, we also propose a novel direct combined model (DCM)-based particle filter that utilizes the face specific prior knowledge to perform such particle-based solution efficiently and robustly. Our extensive experiment results demonstrate that the recovered images are quantitatively closer to the ground truth without manual involvement.
As a result of improvements in wireless communication technologies, a multimedia data streaming service can be provided for mobile clients such as PDAs and cellular phones. Because mobile devices have low computing po...
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This paper proposes a nonlinear control architecture for the stabilization of a quadrotor vehicle based on image measurements of a set of landmarks obtained from a pan and tilt camera. The vehicle is stabilized vertic...
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ISBN:
(纸本)9781424477456
This paper proposes a nonlinear control architecture for the stabilization of a quadrotor vehicle based on image measurements of a set of landmarks obtained from a pan and tilt camera. The vehicle is stabilized vertically using an additional vertical position sensor and lateral-longitudinal stabilization is achieved with a nested saturation control law by feedback of image measurements, body attitude, and angular rate. Additionally, the pan and tilt camera is actively actuated to to keep the landmarks visible in the image sensor for most operating conditions. Simulation results are presented to assess the performance of the proposed control architecture.
作者:
Han, Thanh-TrungSam, Ge ShuzhiSun, Fuchun
School of Automation Engineering University of Electronic Science and Technology of China Chengdu 611731 China
University of Electronic Science and Technology of China Chengdu 611731 China Robotics Institute
University of Electronic Science and Technology of China Chengdu 611731 China Department of Computer Science and Technology
Tsinghua University Beijing 100084 China
This paper addresses the problem of output tracking control for a class of nonlinear distributed time-delay systems whose control gains are delay-dependent and whose uncertainty involves both delay times and system no...
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ISBN:
(纸本)9787894631046
This paper addresses the problem of output tracking control for a class of nonlinear distributed time-delay systems whose control gains are delay-dependent and whose uncertainty involves both delay times and system nonlinearities. We introduce the framework of using delay-independent control to deal with unknown distributed delay dependence and using switching-based adaptive neural control to deal with unknown delay-dependent control gains. The control is designed in consideration of a Razumikhin norm condition on retarded functional state entailing efficiency with distributed delay dependence.
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