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Development of real-time traffic object and traffic-sign detection models applied for autonomous intelligent vehicles
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Technologies for detecting traffic objects are an essential requirement for any applications in autonomous intelligent vehicles. In this work, models for detecting traffic objects were developed. Based on the existing datasets and the pre-trained models, fine-tuning techniques were applied to achieve trained models with higher accuracies even for the very challenging test data. |