A team of researchers specializes in SLAM, or simultaneous localization and mapping, the technique whereby mobile autonomous robots map their environments and determine their locations. Now these ...

Abstract: Guide dog robots with advanced sensing abilities could be a big boon to vision-impaired people as some of them may choose technological solutions over real-life guide dogs. In this study, we ...

Abstract: Albeit achieving high predictive accuracy across many challenging computer vision problems, recent studies suggest that deep neural networks (DNNs) tend to make over-confident predictions, ...

In order for an assistance robot like EDAN to provide support in performing everyday activities, accurate and reliable perception of the environment is required. By recognizing and localizing objects, ...

Welcome to a project that redefines object detection. Custom_Object_Detection combines the power of YOLOv9 and YOLOv10 with the flexibility of custom dataset training, enabling you to detect virtually ...

Real-time object detection on mobile platforms is a crucial but challenging computer vision task. However, it is widely recognized that although the lightweight object detectors have a high detection ...

👁️ Object, Eye & Emotion (Smile) Detection using YOLO and OpenCV This project uses YOLO (You Only Look Once) and OpenCV to perform real-time object detection, eye tracking, and emotion/smile ...