Abstract
Environmental perception is currently one of the most significant challenges in unmanned driving systems. To make the driving behavior of unmanned vehicles similar to that of human drivers, the target obstacles need to be identified. This identification process is a typical pattern recognition process. Traditional computer vision often requires different artificially designed features for different tasks. However, artificially designed features often have omissions, which may lead to serious security consequences. This chapter introduces some basic concepts of machine learning and expounds on deep learning, including machine learning and the application of deep learning in the field of unmanned driving.
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