IEEE

EIF-6D: Enhancing Category-Level 6D Pose Estimation through Dual-Stream Implicit-Explicit Transformation

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 ...
IEEE

GCM-Pose: Generalizable 6D Object Pose Estimation Based on Cross-Modal Feature Matching

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 ...
GitHub

Real-Time Vehicle Detection and Speed Estimation

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 ...
GitHub

PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

로봇과 같은 어플리케이션에서 "알고 있는 물체"의 6차원 정보를 알아내는 것은 매우 중요합니다. 알고 있는 물체로 제한시켜도 괜찮은 이유는, 로봇이 주어진 환경 자체가 일반적으로 제한된 ...