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LEARNING METHOD AND LEARNING DEVICE AND TESTING METHOD AND TESTING DEVICE FOR DETECTING PARKING SPACES BY USING POINT REGRESSION RESULTS AND RELATIONSHIP BETWEEN POINTS TO THEREBY PROVIDE AN AUTO-PARKING SYSTEM
LEARNING METHOD AND LEARNING DEVICE AND TESTING METHOD AND TESTING DEVICE FOR DETECTING PARKING SPACES BY USING POINT REGRESSION RESULTS AND RELATIONSHIP BETWEEN POINTS TO THEREBY PROVIDE AN AUTO-PARKING SYSTEM
The present invention provides a learning method for detecting the parking space using a probability distribution for a determination point of a parking space and a relational linear segment information on a relationship between the determination points (a ) The learning device calculates each of one or more predicted probability distributions for each of the determination points by applying (i) a first CNN (Convolutional Neural Network) to the parking situation image by applying a first CNN regression operation And (ii) performing a process of causing a second CNN to generate predictive relationship linear segment information by applying a second CNN regression operation to the parking situation image; And (b) the learning apparatus causing the loss layer to (i) perform a backpropagation using the first loss to learn the parameters of the first CNN and (ii) the second loss. And performing a process of learning the parameters of the second CNN by performing backpropagation using the method.
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