Results 71 to 80 of about 530,080 (274)

Loop Detection Method Based on Neural Radiance Field BoW Model for Visual Inertial Navigation of UAVs

open access: yesRemote Sensing
The loop closure detection (LCD) methods in Unmanned Aerial Vehicle (UAV) Visual Inertial Navigation System (VINS) are often affected by issues such as insufficient image texture information and limited observational perspectives, resulting in ...
Xiaoyue Zhang   +4 more
doaj   +1 more source

Dynamic Spatio-Temporal Bag of Expressions (D-STBoE) Model for Human Action Recognition

open access: yesSensors, 2019
Human action recognition (HAR) has emerged as a core research domain for video understanding and analysis, thus attracting many researchers. Although significant results have been achieved in simple scenarios, HAR is still a challenging task due to ...
Saima Nazir   +3 more
doaj   +1 more source

Folksonomies vs. Bag-of-Words: The Evaluation & Comparison of Different Types of Document Representations [PDF]

open access: yes, 2006
published or submitted for publicationis peer ...
Gruzd, Anatoliy
core  

Transportation in Social Media: an automatic classifier for travel-related tweets

open access: yes, 2017
In the last years researchers in the field of intelligent transportation systems have made several efforts to extract valuable information from social media streams.
Pasquali, Arian   +3 more
core   +1 more source

Bag-of-bags of words irregular graph pyramids vs spatial pyramid matching for image retrieval [PDF]

open access: yes2014 4th International Conference on Image Processing Theory, Tools and Applications (IPTA), 2014
This paper presents a novel approach, named bag-of-bags of words (BBoW), to address the problem of Content-Based Image Retrieval (CBIR) from image databases. The proposed bag-of-bags of words model extends the classical bag-of-words (BoW) model. An image is represented as a connected graph of local features on a regular grid. Then irregular partitions (
Ren, Yi   +2 more
openaire   +3 more sources

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang   +3 more
wiley   +1 more source

Global and local exploitation for saliency using bag‐of‐words

open access: yesIET Computer Vision, 2014
The guidance of attention helps human vision system to detect objects rapidly. In this study, the authors present a new saliency detection algorithm by using bag‐of‐words (BOW) representation.
Zhenzhu Zheng, Yun Zhang, Luxin Yan
doaj   +1 more source

Interactive Prompt‐Guided Robotic Grasping for Arbitrary Objects Based on Promptable Segment Anything Model and Force‐Closure Analysis

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A laser pointer‐guided robotic grasping method for arbitrary objects based on promptable segment anything model and force‐closure analysis is presented. Grasp generation methods based on force‐closure analysis can calculate the optimal grasps for objects through their appearances. However, the limited visual perception ability makes robots difficult to
Yan Liu   +5 more
wiley   +1 more source

Degeneracy Sensing Light Detection and Ranging‐Inertial Simultaneous Localization and Mapping with Dual‐Layer Resistant Odometry and Scan‐Context Loop‐Closure Detection Backend in Diverse Environments

open access: yesAdvanced Intelligent Systems, EarlyView.
This paper presents a degeneracy‐aware light detection and ranging (LiDAR)‐inertial framework that enhances LiDAR simultaneous localization and mapping performance in challenging environments. The proposed system integrates a dual‐layer robust odometry frontend with a Scan‐Context‐based loop‐closure detection backend.
Haoming Yang   +4 more
wiley   +1 more source

Voxel‐SLAM: A Complete, Accurate, and Versatile Light Detection and Ranging‐Inertial Simultaneous Localization and Mapping System

open access: yesAdvanced Intelligent Systems, EarlyView.
: In this work, Voxel‐SLAM (simultaneous localization and mapping) is introduced: a complete, accurate, and versatile LiDAR (light detection and ranging) ‐inertial SLAM system consisting of five modules: initialization, odometry, local mapping (LM), loop closure (LC), and global mapping (GM), all employing the same map representation, an adaptive voxel
Zheng Liu   +9 more
wiley   +1 more source

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