Wireless power transfer(WPT)systems offer promising solutions for charging electronic devices by eliminating the need for physical connectors.A comprehensive review of the key aspects of WPT systems is provided,includ...Wireless power transfer(WPT)systems offer promising solutions for charging electronic devices by eliminating the need for physical connectors.A comprehensive review of the key aspects of WPT systems is provided,including resonant inverter and rectifier topologies,control strategies,standards,electromagnetic field(EMF)safety protocols,and mechanisms for foreign object detection(FOD),living object detection(LOD),and metal object detection(MOD).Various resonant inverters and rectifier topologies,including their respective advantages and disadvantages,are analyzed.Control strategies for WPT systems are discussed in detail,with an emphasis on both direct and indirect control methods.Existing wireless charging standards,as well as EMF safety standards,are reviewed.Additionally,the significance of FOD and techniques for LOD and MOD are explored,underscoring their critical role in ensuring the safety and efficiency of WPT systems.This paper serves as a comprehensive guide for researchers and practitioners in the field of WPT,offering insights into key considerations and challenges in the development and implementation of WPT technology.展开更多
A novel method of model-based object recognition is presented in this paper. Its novelty stems from the fact that the gray level image captured by a camera is merged with sparse range information in an active manner. ...A novel method of model-based object recognition is presented in this paper. Its novelty stems from the fact that the gray level image captured by a camera is merged with sparse range information in an active manner. By using a projective transform,which is determined by the sparse range data, features (e.g. edge points) related to a single planar surface patch or figure in the scene can be assigned with their corresponding range values respectively. As a result, the shape of the very planar patch or figure can be recovered and various kinds of description in the Euclidean space can be calculated. Based on these descriptions values, the hypothesis about the identification of the object and its pose in space can be obtained with a high probability of success, and a high efficiency of hypothesis- verification process can be expected. Another advantage of this method is that the edge detection process can be navigated to the proper location hinted by the sparse range image. In consequence edge features can be extracted even in the regions with low contrast. In this paper the principle of range information propagation transform (RIPT) is explained, and some implementation issues, such as the algorithms using calibrated or uncalibrated gray level image for object recognition, are discussed. The preliminary experimental results are presented to indicate the effectiveness and efficiency of the proposed method.展开更多
基金Supported by the Prime Minister’s Research Fellowship Grant,India.
文摘Wireless power transfer(WPT)systems offer promising solutions for charging electronic devices by eliminating the need for physical connectors.A comprehensive review of the key aspects of WPT systems is provided,including resonant inverter and rectifier topologies,control strategies,standards,electromagnetic field(EMF)safety protocols,and mechanisms for foreign object detection(FOD),living object detection(LOD),and metal object detection(MOD).Various resonant inverters and rectifier topologies,including their respective advantages and disadvantages,are analyzed.Control strategies for WPT systems are discussed in detail,with an emphasis on both direct and indirect control methods.Existing wireless charging standards,as well as EMF safety standards,are reviewed.Additionally,the significance of FOD and techniques for LOD and MOD are explored,underscoring their critical role in ensuring the safety and efficiency of WPT systems.This paper serves as a comprehensive guide for researchers and practitioners in the field of WPT,offering insights into key considerations and challenges in the development and implementation of WPT technology.
文摘A novel method of model-based object recognition is presented in this paper. Its novelty stems from the fact that the gray level image captured by a camera is merged with sparse range information in an active manner. By using a projective transform,which is determined by the sparse range data, features (e.g. edge points) related to a single planar surface patch or figure in the scene can be assigned with their corresponding range values respectively. As a result, the shape of the very planar patch or figure can be recovered and various kinds of description in the Euclidean space can be calculated. Based on these descriptions values, the hypothesis about the identification of the object and its pose in space can be obtained with a high probability of success, and a high efficiency of hypothesis- verification process can be expected. Another advantage of this method is that the edge detection process can be navigated to the proper location hinted by the sparse range image. In consequence edge features can be extracted even in the regions with low contrast. In this paper the principle of range information propagation transform (RIPT) is explained, and some implementation issues, such as the algorithms using calibrated or uncalibrated gray level image for object recognition, are discussed. The preliminary experimental results are presented to indicate the effectiveness and efficiency of the proposed method.
