This paper presents a cascade system to reliably recognize traffic accidents using multi-sensor cooperation. The system is consisted of a MSN (Master Sensor Node) and number of SN (Sensor Node)s with both low cost DSP...
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This paper presents a cascade system to reliably recognize traffic accidents using multi-sensor cooperation. The system is consisted of a MSN (Master Sensor Node) and number of SN (Sensor Node)s with both low cost DSP and CCD. Each SN computes probabilities of accident with a set of images over time taken at different locations. Once more than one accident being reported, MSN is stimulated and conducts a synthetic decision making process with various information taken from each SN related to the accident. Experimental results show that the proposed cascade system drastically enhance reliability of traffic accident recognition and enables to be set in real environments.
We propose an algorithm for the visual detection and localisation of the hand of a humanoid robot. This algorithm imposes low requirements on the type of supervision required to achieve good performance. In particular...
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We propose an algorithm for the visual detection and localisation of the hand of a humanoid robot. This algorithm imposes low requirements on the type of supervision required to achieve good performance. In particular the system performs feature selection and adaptation using images that are only labelled as containing the hand or not, without any explicit segmentation. Our algorithm is an online variant of Multiple Instance Learning based on boosting. Experiments in real-world conditions on the iCub humanoid robot confirm that the algorithm can learn the visual appearance of the hand, reaching an accuracy comparable with its off-line version. This remains true when supervision is generated by the robot itself in a completely autonomous fashion. Algorithms with weak supervision requirements like the one we describe are useful for autonomous robots that learn and adapt online to a changing environment. The algorithm is not hand-specific and could be easily applied to wide range of problems involving visual recognition of generic objects.
We report on focus group feedback regarding the services provided by existing education-related Digital Libraries (DL). Participants provided insight into how they seek educational resources online, and what they perc...
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Algorithms for trajectory planning and control for a multiple-vehicles system are investigated. An issue of designing collision-free trajectories on a group of crossing paths is tackled. The trajectories are modeled a...
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Algorithms for trajectory planning and control for a multiple-vehicles system are investigated. An issue of designing collision-free trajectories on a group of crossing paths is tackled. The trajectories are modeled as a set of via-points coupled with their associated achieving time. Furthermore, a tracking controller design dealing with actuators constraints and all via points' achieve times is proposed. By applying the controller, each vehicle is guaranteed to get closer to the desired via-points without any obstacle-avoidance motions. Simulation results showing the generated trajectories and tracking performance is presented.
The disturbance observer (DOB) is one of the widely-used control methods for robust tracking under plant uncertainties and external disturbances. Typically it is implemented by two (so-called) Q-filters as well as an ...
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ISBN:
(纸本)9781612848006
The disturbance observer (DOB) is one of the widely-used control methods for robust tracking under plant uncertainties and external disturbances. Typically it is implemented by two (so-called) Q-filters as well as an inverse model for the nominal plant. Observing that these two Q-filters have identical dynamics, we propose a reduced-order implementation of the conventional DOB configuration. Moreover, we analyze this newly proposed configuration and claim that the robust stability condition, which has been found for the conventional configuration, still holds for the reduced-order case, and the robust transient performance can also be maintained as before with a saturation function introduced in the feedback loop.
In this article, we demonstrated an optical-coding method to detect forward scattering and large angle scattering signals within microfluidic devices. Using silicon photodetectors, we can effectively discriminate the ...
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In this paper, we present the design of a social robot, Nancy, which is developed as a platform for engaging social interaction. Targeting for a social, safe, interactive and user-friendly robot mate, the design philo...
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In this paper, we present the design of a social robot, Nancy, which is developed as a platform for engaging social interaction. Targeting for a social, safe, interactive and user-friendly robot mate, the design philosophy of Nancy is presented with mechanical, electrical, artificial skin and software specifications. In particular, there are 32 degrees of freedom (DOFs) through the whole body of Nancy, and the social intelligence is implemented based on vision, audio and control subsystems.
In this paper, an approach of feature extraction by designing common spatial filters specifically for time domain parameters (TDP) is proposed. This approach is aiming at motor imagery detection in electroencephalogra...
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This paper presents a design method of the reference governor for a class of nonlinear systems with input constraints. When the input has a constraint, the input saturation might happen and thus, the controller cannot...
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This paper presents a design method of the reference governor for a class of nonlinear systems with input constraints. When the input has a constraint, the input saturation might happen and thus, the controller cannot work correctly. Furthermore, the output might diverge in the case of an open loop unstable system. To overcome this problem, a novel approach to the design of a reference governor is proposed. A nonlinear system diffeomorphic to a normal form is considered and additionally, a bounded disturbance in the control input is considered. In the proposed method, the behaviors of the states and input are predicted and the reference is modified so that the predicted input never exceeds the saturation limits and the modified one is closest to the given command among the values which are achievable without the input saturation. The convergence of the newly generated reference trajectory is proved and some simulation results are included to verify the performance of the proposed method.
This paper presents a framework, aiming to develop the mass customization for textile and apparel industries in Thailand. The developed model as presented is the relationship of the connection pertaining to customers...
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This paper presents a framework, aiming to develop the mass customization for textile and apparel industries in Thailand. The developed model as presented is the relationship of the connection pertaining to customers’ needs at industrial levels, most of which are Original Design Manufacturer (OEM), a type of textile and apparel business. The outstanding of OEM is the presentation of newly created designs to customers with a variety of products. Importantly, in order to gain such effective production management, an appropriate administrative system with high flexibility, efficient production (Small Lot Size), and punctual delivery is crucially required. In relation to the framework for mass customization development, it concerns three main related involvements: customers, OEM industries, and suppliers, all of which will be assessed so as to be promptly employed in such firms manufacturing products in accordance with the productive systems of mass customization *** conceptual from mass customization systems will facilitate the management in terms of the production designing in factories, aiming at clustering which is complex to the creation of platform from common parts, leading to the development of a variety of goods by the process of product family.
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