Results 131 to 140 of about 14,435,990 (306)

A new benchmark for camouflaged object detection: RGB-D camouflaged object detection dataset

Open Physics
This article aims to provide a novel image paradigm for camouflaged object detection, i.e., RGB-D images. To promote the development of camouflaged object detection tasks based on RGB-D images, we construct an RGB-D camouflaged object detection dataset ...
Zhang Dongdong, Wang Chunping, Fu Qiang
doaj   +1 more source

KFuji RGB-DS database: Fuji apple multi-modal images for fruit detection with color, depth and range-corrected IR data

Data in Brief, 2019
This article contains data related to the research article entitle “Multi-modal Deep Learning for Fruit Detection Using RGB-D Cameras and their Radiometric Capabilities” [1].
Jordi Gené-Mola, Verónica Vilaplana, Joan R. Rosell-Polo, Josep-Ramon Morros, Javier Ruiz-Hidalgo, Eduard Gregorio   +5 more
doaj   +1 more source

Bio‐Inspired Object Retrieval via Proximity‐Guided Adaptive Thigmotactic Exploration and Neuromorphic Recognition

Advanced Robotics Research, EarlyView.
Sparse active‐infrared proximity sensing is coupled to an adaptive thigmotactic controller for camera‐inaccessible object retrieval. After grasping, receptor‐informed encoding transforms force, temperature, and wrist force–torque signals into spike trains for spiking neural network recognition.
Fengyi Wang, Nitish Thakor, Gordon Cheng
wiley   +1 more source

3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation [PDF]

, 2019
A key challenge for RGB-D segmentation is how to effectively incorporate 3D geometric information from the depth channel into 2D appearance features. We propose to model the effective receptive field of 2D convolution based on the scale and locality from
Thomas Mensink, Chen, Y., Yunlu Chen, Mensink, T., Gavves, E., Efstratios Gavves   +5 more
core   +1 more source

UC Food Waste: A Multimodal Robotic Perception Dataset for Robust Contaminant Detection in Complex Biowaste Scenes

Advanced Robotics Research, EarlyView.
A balanced multimodal food‐waste dataset and a novel Split Spatial‐Spectral Attention fusion framework are presented for robotic contaminant detection. Separate processing of RGB, thermal, and multispectral inputs preserves subtle material signatures before feature integration, reducing modality interference and improving classification and ...
Matthew Vestal, James Ireland, David Hinwood, Xing Wang, Min Wang, Damith Herath   +5 more
wiley   +1 more source

Depth Matters: Geometry-Aware RGB-D-Based Transformer-Enabled Deep Reinforcement Learning for Mapless Navigation

Applied Sciences
Autonomous navigation in unknown environments demands policies that can jointly perceive semantic context and geometric safety. Existing Transformer-enabled deep reinforcement learning (DRL) frameworks, such as the Goal-guided Transformer Soft Actor ...
Alpaslan Burak İnner, Mohammed E. Chachoua   +1 more
doaj   +1 more source

Stitching of depth and color images from multiple RGB-D sensors for extended field of view

International Journal of Advanced Robotic Systems, 2019
Existing commodity RGB-D sensors have a limited field of view compared with a nearly 360° horizontal field of view of Lidar. This article presents a method to extend the field of view by stitching depth and color images from multiple RGB-D sensors to ...
Changquan Ding, Hang Liu, Hengyu Li
doaj   +1 more source

RGB-D people tracking by detection for a mobile robot [PDF]

, 2022
In this work, we propose a fast and robust multi-people long-term tracking algorithm for mobile platforms equipped with RGB-D sensors. The approach we followed is based on the clustering of the scene by using 3D information in conjunction with a reliable
Basso, Filippo
core  

Robotic Assistants in the Operating Room: A Systematic Review of Vision‐Based Systems for Nonoperative Tasks

Advanced Robotics Research, EarlyView.
This review brings together 20 publications describing 11 robotic system families developed for instrument handling, sterile‐package opening, supply delivery, and operating room logistics. Perception is becoming more capable through deep learning and language‐guided control, but autonomy remains limited, evidence is largely laboratory‐based, and no ...
Eugenia Mawuenya Akpo, Pietro Falco, Nicholas Raison, Christos Bergeles, Letizia Gionfrida   +4 more
wiley   +1 more source

RGB-D Individual Segmentation

CoRR, 2019
Fine-grained recognition task deals with sub-category classification problem, which is important for real-world applications. In this work, we are particularly interested in the segmentation task on the \emph{finest-grained} level, which is specifically named "individual segmentation".
Xu, Wenqiang, Fu, Yanjun, Luo, Yuchen, Liu, Chang, Lu, Cewu   +4 more
openaire   +3 more sources