Object pose tracker using AprilTag for ROS (melodic)
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Updated
Dec 3, 2019 - Python
Object pose tracker using AprilTag for ROS (melodic)
Code for Kaggle Competition, Peking University/Baidu - Autonomous Driving, ranking 52/866
🚀 A neural network for monocular spacecraft 6D pose estimation: 3rd place solution of the European Space Agency’s pose estimation challenge
Code for our Reproducibility Challenge Paper "On end-to-end 6DoF object pose estimation and robustness to object scale"
Code for DronePose: Photorealistic UAV-Assistant Dataset Synthesis for 3D Pose Estimation via a Smooth Silhouette Loss (ECCVW 2020)
A multimodal UAV assistant dataset.
Code implementation of our paper "CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation"
SurfEmb (CVPR 2022)
A single-shot learning-based approach to hand and object pose estimation, made available on a head-mounted display.
List of research papers for multi-object pose estimation in 3D and comparative results on NOCS-REAL275
Single-Stage Keypoint-based Category-level Object Pose Estimation from an RGB Image (ICRA 2022)
Instance Segmentation Aided 6D Object Pose and Velocity Tracking using an Unscented Kalman Filter
Real-time robotic object pose estimation with deep learning
A compact Python package for handling ArUCo markers.
CASAPose: Class-Adaptive and Semantic-Aware Multi-Object Pose Estimation (BMVC 2022)
Dobot CR5 with Intel Realsense D435i for object detection and pose estimation (bin-picking application).
Code for "EPOS: Estimating 6D Pose of Objects with Symmetries", CVPR 2020.
Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation (ICRA 2023)
Automate bin-picking tasks using the Dobot CR5 robotic arm. The system combines YOLOv5 for object detection and FAST/BRISK for feature detection and matching. With a depth sensor camera, we achieve real-time object detection and precise pose estimation, improving industrial automation and operational efficiency.
SHOWMe: Benchmarking Object-agnostic Hand-Object 3D Reconstruction (Dataset, Contains proposed top baseline reconstructions with estimated camera poses)
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