Automatic parking method and system based on generative confrontation imitation learning
An automatic parking and parking technology, applied in machine learning, computing models, instruments, etc., can solve problems such as insufficient flexibility of parking and complex calculations, and achieve the effects of speeding up training, improving performance, and improving utilization
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Embodiment 1
[0025] Such as figure 1As shown, this embodiment provides an automatic parking method based on generative adversarial imitation learning, including step S1: obtaining expert sample data for successful parking and first-round sample data for parking failure; step S2: using strategy The generator in the learning unit interacts with the environment, collects the first round of sample data in the learning process, samples the first round of sample data and processes and extracts the first round of sample feature data, and at the same time, the expert The sample data is sampled and processed to extract the feature data of the successful sample, and the first round of failed sample data is sampled and processed to extract the feature data of the first round of failed samples; Step S3: the first round of sample feature data, the successful sample feature The data and the feature data of the first round of failed samples are respectively input into the discriminator for judgment, and ...
Embodiment 2
[0053] Based on the same inventive concept, this embodiment provides an automatic parking system based on generative adversarial imitation learning, the problem-solving principle of which is similar to the above-mentioned automatic parking method based on generative adversarial imitation learning, and repeated descriptions will not be repeated.
[0054] This embodiment provides an automatic parking system based on generative confrontation imitation learning, including:
[0055] A storage unit, the storage unit includes an expert sample storage unit and a failure sample storage unit, wherein the expert sample storage unit is used to store expert sample data of successful parking, and the failure sample storage unit is used to store parking failure samples data;
[0056] The image processing unit is used to process high-dimensional image data and extract features from the parking trajectory image;
[0057] The strategy learning unit learns a parking strategy similar to an exper...
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