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An environment perception system for unmanned driving vehicles based on deep learning
An environment perception system for unmanned driving vehicles based on deep learning
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机译：基于深度学习的无人驾驶汽车环境感知系统
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#$%^&*AU2019100967A420191003.pdf#####ABSTRACT This application lies in the field of digital image processing, and it is an environment perception system for unmanned driving vehicles based on deep learning. Firstly, we need to preprocess the image data that needs to be specifically identified, which includes cars, trucks and motorcycles., and the processed image is divided into a training set and a test set. The training set is used to train the specific parameters of the neural network and save them. In the test, we can call these optimized parameters for identification. The invention has the following advantages. It needs no artificial participation to achieve environmental sensing purposes, providing a reliable, high-performance environment perception system based on deep learning. 1
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