Automatic Detection of Self-Adaptors for Psychological Distress [PDF]
2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), 2020 Psychological distress is a significant and growing issue in society. Automatic detection, assessment, and analysis of such distress is an active area of research. Compared to modalities such as face, head, and vocal, research investigating the use of the body modality for these tasks is relatively sparse. This is, in part, due to the lack of available
Lin, Weizhe +3 more
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Empathy and Distress Detection using Ensembles of Transformer Models [PDF]
CoRR, 2023 This paper presents our approach for the WASSA 2023 Empathy, Emotion and Personality Shared Task. Empathy and distress are human feelings that are implicitly expressed in natural discourses. Empathy and distress detection are crucial challenges in Natural Language Processing that can aid our understanding of conversations. The provided dataset consists
Tanmay Chavan +2 more
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From manual to automatic pavement distress detection and classification [PDF]
2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2017 Detection and classification of distresses is a fundamental activity in the road pavement management. Even in the early stages of deterioration, road pavement needs to be monitored to identify problems, evaluating the actual conditions and predicting what the future conditions will be.
Cafiso, S. +3 more
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Automatic Detection of Urban Pavement Distress and Dropped Objects with a Comprehensive Dataset Collected via Smartphone [PDF]
BuildingsPavement distress seriously affects the quality of pavement and reduces driving comfort and safety. The dropped objects from vehicles have increased the risks of traffic accidents.
Lin Xu +4 more
doaj +2 more sources
Multi-Grade Road Distress Detection Strategy Based on Enhanced YOLOv8 Model [PDF]
BuildingsThe total mileage of the road network in China has been growing rapidly during the last twenty years. With the development of deep learning, the automatic road distr ess detection method is more accurate and effective than manual detection.
Jiale Li +4 more
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OEM-HWNet: A Prior Knowledge-Guided Network for Pavement Interlayer Distress Detection Based on Computer Vision Using GPR [PDF]
Remote SensingAccurate detection of interlayer distress based on ground-penetrating radar has been widely adopted for in-service asphalt pavement condition assessment to improve maintenance efficiency and reduce costs. However, accurate interlayer distress locating is
Congde Lu +5 more
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Automated Pavement Distress Detection Based on Convolutional Neural Network [PDF]
IEEE AccessPavement distress detection is crucial in road health assessment and monitoring. However, there are still some challenges in extracting pavement distress based on deep learning: such as insufficient segmentation, extraction errors and discontinuities. In
Jinhe Zhang +4 more
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Onboard LiDAR–Camera Deployment Optimization for Pavement Marking Distress Fusion Detection [PDF]
SensorsPavement markings, as a crucial component of traffic guidance and safety facilities, are subject to degradation and abrasion after a period of service.
Ciyun Lin +4 more
doaj +2 more sources
A review on automated pavement distress detection methods [PDF]
Cogent Engineering, 2017 In recent years, extensive research has been conducted on pavement distress detection. A large part of these studies applied automated methods to capture different distresses.
Tom B.J. Coenen, Amir Golroo
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Automation in road distress detection, diagnosis and treatment [PDF]
Journal of Road EngineeringRoad transportation plays a crucial role in society and daily life, as the functioning and durability of roads can significantly impact a nation's economic development.
Xu Yang +5 more
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