This project uses real time semantic segmentation combined with object tracking for ADAS applications using Ultralytics YOLO ...
This project performs real-time object detection using a webcam feed. It combines OpenCV for video capture and display with a pretrained Ultralytics YOLOv8 model for detection. Every detected object ...
Abstract: Autonomous driving systems require reliable perception capabilities for safe and efficient navigation, particularly in lane and object detection. This study presents a real-time detection ...
Abstract: The most often adopted methodologies for contemporary machine learning techniques to execute a variety of responsibilities on embedded devices are mobile networks and multimodal neural ...
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