Deep learning on monocular object pose detection and tracking: A comprehensive overview
Object pose detection and tracking has recently attracted increasing attention due to its wide
applications in many areas, such as autonomous driving, robotics, and augmented reality …
applications in many areas, such as autonomous driving, robotics, and augmented reality …
6D pose estimation of objects: Recent technologies and challenges
Z He, W Feng, X Zhao, Y Lv - Applied Sciences, 2020 - mdpi.com
6D pose estimation is a common and important task in industry. Obtaining the 6D pose of
objects is the basis for many other functions such as bin picking, autopilot, etc. Therefore …
objects is the basis for many other functions such as bin picking, autopilot, etc. Therefore …
VMLHST: Development of an Efficient Novel Virtual Reality ML Framework with Haptic Feedbacks for Improving Sports Training Scenarios
This paper presents the development of a novel virtual reality (VR) machine learning (ML)
framework that incorporates haptic feedback to improve sports training scenarios. The …
framework that incorporates haptic feedback to improve sports training scenarios. The …
A deep learning framework for accurate vehicle yaw angle estimation from a monocular camera based on part arrangement
W Huang, W Li, L Tang, X Zhu, B Zou - Sensors, 2022 - mdpi.com
An accurate object pose is essential to assess its state and predict its movements. In recent
years, scholars have often predicted object poses by matching an image with a virtual 3D …
years, scholars have often predicted object poses by matching an image with a virtual 3D …
Weakly-supervised object detection learning through human-robot interaction
Reliable perception and efficient adaptation to novel conditions are priority skills for
humanoids that function in dynamic environments. The vast advancements in latest …
humanoids that function in dynamic environments. The vast advancements in latest …
Intelligent Analysis of Computer‐Aided Garment Design CAD Based on Virtual Reality Model for Surplus Fabric Removal and Reuse without Segmentation of Cutting …
T Wang - Advances in Multimedia, 2022 - Wiley Online Library
For the purpose of improving the efficiency of garment design, the computer‐aided garment
design virtual reality (VR) model for surplus fabric removal and reuse without segmentation …
design virtual reality (VR) model for surplus fabric removal and reuse without segmentation …
Visual guidance of a sealant dispensing robot for online detection of complex 3D-curve seams
LD Hanh, CV Thien - International Journal on Interactive Design and …, 2022 - Springer
Dispensing and seam sealing in the manufacturing industry cause some problems related to
human health, time consumption and material waste because of inconsistent sealers …
human health, time consumption and material waste because of inconsistent sealers …
Pose estimation of metal workpieces based on RPM-Net for robot gras** from point cloud
L Li, X Chen, T Zhang - Industrial Robot: the international journal of …, 2022 - emerald.com
Purpose Many metal workpieces have the characteristics of less texture, symmetry and
reflectivity, which presents a challenge to existing pose estimation methods. The purpose of …
reflectivity, which presents a challenge to existing pose estimation methods. The purpose of …
A product pose tracking paradigm based on deep points detection
The paper at hand presents a novel and versatile method for tracking the pose of varying
products during their manufacturing procedure. By using modern Deep Neural Network …
products during their manufacturing procedure. By using modern Deep Neural Network …
FEIF: Feature Excitation and Interactive Fusion for 6D Object Pose Estimation
Q Meng, S Zhu, J Gu, Z Lin, L Zhong… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
In this paper, we present FEIF, a novel framework for 6D object pose estimation from a
single RGBD image. Compared with previous approaches, this model fully leverages the …
single RGBD image. Compared with previous approaches, this model fully leverages the …