Abstract: Category-level 6D pose estimation, predicting the 3D position, orientation, and size of unseen objects, is pivotal for applications in robotics and augmented reality. Existing methodologies ...

Abstract: 6D pose estimation is a crucial subfield of visual measurement, extensively applied in robotics, autonomous driving, and augmented reality. Existing instance-level and category-level 6D pose ...

The methodology extends traditional CIB analysis with ways to handle uncertainty, test how robust scenarios are, simulate how systems change over time, and model probabilities. The simplest approach ...

This project performs real-time vehicle detection, tracking, and speed estimation using a YOLO model from the ultralytics library and OpenCV. It reads frames from a video file, tracks objects between ...