Xidian University

Xi'an Creation Keji Co., Ltd.

Chen Liu

Yuming Zhang

Yu Zuo

Hongliang Lv

A method of road detection based on Internet of Vehicles is provided, the method is applied to vehicle terminals and includes: obtaining a target road image captured by an image collection terminal and inputting it into an improved YOLOv3 network, performing feature extraction by using backbone network of dense connection to obtain feature images with different scales; performing feature fusion of top-to-down and dense connection to the feature images by using an improved feature pyramid networks (FPN) to obtain prediction results; obtaining attribute information of the target road image according to the prediction results; the attribute information includes positions and categories of objects in the target road image; the improved YOLOv3 is formed by based on YOLOv3 network, replacing residual modules of backbone network to dense connection modules, increasing feature extraction scale, optimizing feature fusion mode of FPN, performing pruning and performing network recovery processing guided by knowledge distillation.

Method of road detection based on internet of vehicles

This disclosure provides a package structure for a semiconductor device, comprising a three-layer film consisting of a first SiOfilm, a SiNfilm and a second SiOfilm stacked in this order, wherein the first SiOfilm is formed by a thermal oxidation process, the SiNfilm is formed by a low pressure chemical vapor deposition process, and the second SiOfilm is formed by a low temperature atomic layer deposition process. This disclosure also provides a method for preparing the package structure for a semiconductor device.

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Xi'an, China

Chen Liu