This post explores the use of convolutional neural networks (CNNs) in self-driving cars, specifically focusing on NVIDIA's DAVE-2 system for predictive steering. It discusses the importance of autonomous vehicles and different types of AV sensors. The post also covers the dataset, data augmentation techniques, data preprocessing, and the model proposal. It concludes with the test and validation results as well as potential areas for future exploration.
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