This research addresses the challenge of monitoring railway driver drowsiness using a real-time, vision-based system powered by convolutional neural networks, specifically the YOLOv8 architecture ...

An autonomous navigation by a UAV towards it's target such as another military tank or vehicles - based on the detection, locking-on and following the movements of the target is a much needed ...

Introduced in the paper "Roboflow 100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models", RF100-VL is a large-scale collection of 100 multi-modal datasets with diverse concepts ...

In response to the challenges of small object detection in UAV aerial photography, such as complex backgrounds, tiny targets, dense targets, and edge deployment, the YOLOv11n model was improved.

Abstract: In the ever-evolving world of technology, the validation of use case diagrams is essential to ensure the reliability and consistency of software applications. An effective validation ...