AINeutralarXiv – CS AI · Mar 114/10
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Multi-model approach for autonomous driving: A comprehensive study on traffic sign-, vehicle- and lane detection and behavioral cloning
Researchers have developed a comprehensive multi-model approach for autonomous driving that integrates deep learning and computer vision techniques for traffic sign classification, vehicle detection, lane detection, and behavioral cloning. The study utilizes pre-trained and custom neural networks with data augmentation and transfer learning techniques, testing on datasets including the German Traffic Sign Recognition Benchmark and Udacity simulator data.