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It presents a deep learning-based approach for identifying and tracking objects using camera input only. The system utilizes state-of-the-art computer vision models like YOLOv8 and RPN-Fast R-CNN to detect vehicles, persons, and obstacles in real-time. It enables autonomous navigation by processing visual data from camera, achieve high accuracy.
SriManoj-2003/Real-time-object-detection-and-tracking-in-autonomous-vehicles-using-Deep-learning
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It presents a deep learning-based approach for identifying and tracking objects using camera input only. The system utilizes state-of-the-art computer vision models like YOLOv8 and RPN-Fast R-CNN to detect vehicles, persons, and obstacles in real-time. It enables autonomous navigation by processing visual data from camera, achieve high accuracy.
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