Jiangnan University

Li Peng

Linbo Xie

Qigao Fan

Linbai Xie

Hui Liu

Hongwei Feng

Jiwei Wen

An impedance matching network optimization method for a wireless power transfer system under maximum efficiency tracking belongs to the field of wireless power transfer. The present invention proposes a novel impedance matching network optimization method for a WPT system under maximum efficiency. The method analyzes the nonlinearity of a bridge rectifier circuit, the adaptability of load change and other factors related to the maximum efficiency tracking, and provides an important reference for the WPT system in terms of maximum transfer efficiency.

Impedance matching network optimization method for wireless power transfer system under maximum efficiency tracking

The present invention relates to the field of pedestrian detection, and particularly relates to a multi-scale aware pedestrian detection method based on an improved full convolutional network. Firstly, a deformable convolution layer is introduced in a full convolutional network structure to expand a receptive field of a feature map. Secondly, a cascade-region proposal network is used to extract multi-scale pedestrian proposals, discriminant strategy is introduced, and a multi-scale discriminant layer is defined to distinguish pedestrian proposals category. Finally, a multi-scale aware network is constructed, a soft non-maximum suppression algorithm is used to fuse the output of classification score and regression offsets by each sensing network to generate final pedestrian detection regions. Experiments show that there is low detection error on the datasets Caltech and ETH, and the proposed algorithm is better than the current detection algorithms in terms of detection accuracy and works particularly well with far-scale pedestrians.

Multi-scale aware pedestrian detection method based on improved full convolutional network

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Jiangsu, China

Li Peng