A review on deep learning techniques for video prediction
S Oprea, P Martinez-Gonzalez… - … on Pattern Analysis …, 2020 - ieeexplore.ieee.org
The ability to predict, anticipate and reason about future outcomes is a key component of
intelligent decision-making systems. In light of the success of deep learning in computer …
intelligent decision-making systems. In light of the success of deep learning in computer …
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 …
Sar-net: Shape alignment and recovery network for category-level 6d object pose and size estimation
Given a single scene image, this paper proposes a method of Category-level 6D Object
Pose and Size Estimation (COPSE) from the point cloud of the target object, without external …
Pose and Size Estimation (COPSE) from the point cloud of the target object, without external …
A multi-arm robot system for efficient apple harvesting: Perception, task plan and control
T Li, F Xie, Z Zhao, H Zhao, X Guo, Q Feng - Computers and Electronics in …, 2023 - Elsevier
Robot harvesting has emerged as an urgent need for apple industry due to a sharp decline
in agricultural labor. In the field of harvesting robots, the use of multiple robotic arms to …
in agricultural labor. In the field of harvesting robots, the use of multiple robotic arms to …
Occluded apple fruit detection and localization with a frustum-based point-cloud-processing approach for robotic harvesting
T Li, Q Feng, Q Qiu, F Xie, C Zhao - Remote Sensing, 2022 - mdpi.com
Precise localization of occluded fruits is crucial and challenging for robotic harvesting in
orchards. Occlusions from leaves, branches, and other fruits make the point cloud acquired …
orchards. Occlusions from leaves, branches, and other fruits make the point cloud acquired …
A comprehensive review on 3D object detection and 6D pose estimation with deep learning
Nowadays, computer vision with 3D (dimension) object detection and 6D (degree of
freedom) pose assumptions are widely discussed and studied in the field. In the 3D object …
freedom) pose assumptions are widely discussed and studied in the field. In the 3D object …
Efficient center voting for object detection and 6D pose estimation in 3D point cloud
We present a novel and efficient approach to estimate 6D object poses of known objects in
complex scenes represented by point clouds. Our approach is based on the well-known …
complex scenes represented by point clouds. Our approach is based on the well-known …
6D object position estimation from 2D images: A literature review
The 6D pose estimation of an object from an image is a central problem in many domains of
Computer Vision (CV) and researchers have struggled with this issue for several years …
Computer Vision (CV) and researchers have struggled with this issue for several years …
A comprehensive study of 3-D vision-based robot manipulation
Robot manipulation, for example, pick-and-place manipulation, is broadly used for intelligent
manufacturing with industrial robots, ocean engineering with underwater robots, service …
manufacturing with industrial robots, ocean engineering with underwater robots, service …
Physics-based dexterous manipulations with estimated hand poses and residual reinforcement learning
G Garcia-Hernando, E Johns… - 2020 IEEE/RSJ …, 2020 - ieeexplore.ieee.org
Dexterous manipulation of objects in virtual environments with our bare hands, by using only
a depth sensor and a state-of-the-art 3D hand pose estimator (HPE), is challenging. While …
a depth sensor and a state-of-the-art 3D hand pose estimator (HPE), is challenging. While …