Distress detection in VR environment using Empatica E4 wristband and Bittium Faros 360 [PDF]
Frontiers in PhysiologyIntroductionDistress detection in virtual reality systems offers a wealth of opportunities to improve user experiences and enhance therapeutic practices by catering to individual physiological and emotional states.MethodsThis study evaluates the ...
Jelena Medarević +4 more
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Innovative road distress detection (IR-DD): an efficient and scalable deep learning approach [PDF]
PeerJ Computer ScienceIn the rapidly evolving landscape of transportation infrastructure, the quality and condition of road networks play a pivotal role in societal progress and economic growth.
Ahsan Zaman Awan +5 more
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LTPLN: Automatic pavement distress detection. [PDF]
PLoS ONEAutomatic pavement disease detection aims to address the inefficiency in practical detection. However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and ...
Wen-Qing Huang, Liu Feng, Yuan-Lie He
doaj +3 more sources
Distress Detection in Subway Tunnel Images via Data Augmentation Based on Selective Image Cropping and Patching [PDF]
Sensors, 2022 Distresses, such as cracks, directly reflect the structural integrity of subway tunnels. Therefore, the detection of subway tunnel distress is an essential task in tunnel structure maintenance.
Keisuke Maeda +5 more
doaj +2 more sources
Lightweight deep learning for real-time road distress detection on mobile devices. [PDF]
Nat CommunEfficient and accurate road distress detection is crucial for infrastructure maintenance and transportation safety. Traditional manual inspections are labor-intensive and time-consuming, while increasingly popular automated systems often rely on ...
Hu Y +5 more
europepmc +2 more sources
UAV-PDD2023: A benchmark dataset for pavement distress detection based on UAV images. [PDF]
Data Brief, 2023 The UAV-PDD2023 dataset consists of pavement distress images captured by unmanned aerial vehicles (UAVs) in China with more than 11,150 instances under two different weather conditions and across varying levels of construction quality.
Yan H, Zhang J.
europepmc +2 more sources
LRD-DETR: A Lightweight RT-DETR-Based Model for Road Distress Detection [PDF]
SensorsIntelligent road distress detection technology has emerged as an important research topic in the field of highway maintenance. However, the accuracy and practicality of pavement distress detection are constrained by multiple factors, primarily including ...
Chen Dong, Yunwei Zhang
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Shuffle Attention-Based Pavement-Sealed Crack Distress Detection [PDF]
SensorsTo enhance the detection of pavement-sealed cracks and ensure the long-term stability of pavement performance, a novel approach called the shuffle attention-based pavement-sealed crack detection is proposed.
Bo Yuan +4 more
doaj +2 more sources
Detecting Distress in Cognitively Impaired People to Prevent Suffering: Protocol for an Observational Feasibility Study of a Radar-Based Technology Augmented with Photoplethysmographic Sensors and Audio Signals (SURREAL) [PDF]
SensorsBackground: With the increasing prevalence of multimorbidity, the demand for palliative and end-of-life care is expected to rise substantially in the coming decades.
Christopher Boehlke +6 more
doaj +2 more sources
Rural road surface distress detection algorithm based on mask R-CNN with data augmentation
Frontiers in Built EnvironmentTraditional manual detection of rural road surface distress is time-consuming and labor-intensive. In this paper, we propose a Mask R-CNN algorithm specifically designed for detecting rural road surface defects.
Dongfang Li +6 more
doaj +2 more sources