Cargando…

A Transformer-Optimized Deep Learning Network for Road Damage Detection and Tracking

To solve the problems of low accuracy and false counts of existing models in road damage object detection and tracking, in this paper, we propose Road-TransTrack, a tracking model based on transformer optimization. First, using the classification network based on YOLOv5, the collected road damage im...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Niannian, Shang, Lihang, Song, Xiaotian
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490637/ https://www.ncbi.nlm.nih.gov/pubmed/37687850 http://dx.doi.org/10.3390/s23177395

Ejemplares similares

RDD2020: An annotated image dataset for automatic road damage detection using deep learning
por: Arya, Deeksha, et al.
Publicado: (2021)

Deep Learning with Attention Mechanisms for Road Weather Detection
por: Samo, Madiha, et al.
Publicado: (2023)

Road Surface Damage Detection Using Fully Convolutional Neural Networks and Semi-Supervised Learning
por: Chun, Chanjun, et al.
Publicado: (2019)

Predictive Maintenance of Norwegian Road Network Using Deep Learning Models
por: Hassan, Muhammad Umair, et al.
Publicado: (2023)

Real-Time Detection of Railway Track Component via One-Stage Deep Learning Networks
por: Wang, Tiange, et al.
Publicado: (2020)

Data-Augmented Deep Learning Models for Abnormal Road Manhole Cover Detection
por: Zhang, Dongping, et al.
Publicado: (2023)

Real-time detection of road manhole covers with a deep learning model
por: Pang, Dangfeng, et al.
Publicado: (2023)

Comparative Study on Distributed Lightweight Deep Learning Models for Road Pothole Detection
por: Tahir, Hassam, et al.
Publicado: (2023)

Road Feature Detection for Advance Driver Assistance System Using Deep Learning
por: Nadeem, Hamza, et al.
Publicado: (2023)

Deep Learning for Object Detection, Classification and Tracking in Industry Applications
por: Wang, Dadong, et al.
Publicado: (2021)

Deep-learning-based in-field citrus fruit detection and tracking
por: Zhang, Wenli, et al.
Publicado: (2022)

Road damage detection algorithm for improved YOLOv5
por: Guo, Gege, et al.
Publicado: (2022)

Detection and Validation of Tow-Away Road Sign Licenses through Deep Learning Methods
por: Balducci, Fabrizio, et al.
Publicado: (2018)

A Pipeline Defect Instance Segmentation System Based on SparseInst
por: Wang, Niannian, et al.
Publicado: (2023)

Application of Deep Learning Networks to Segmentation of Surface of Railway Tracks
por: Bojarczak, Piotr, et al.
Publicado: (2021)

YOLO-LWNet: A Lightweight Road Damage Object Detection Network for Mobile Terminal Devices
por: Wu, Chenguang, et al.
Publicado: (2023)

Deep learning model for predicting tunnel damages and track serviceability under seismic environment
por: Ansari, Abdullah, et al.
Publicado: (2022)

Transformer-Based Deep Learning Network for Tooth Segmentation on Panoramic Radiographs
por: Sheng, Chen, et al.
Publicado: (2022)

Deep Learning-Based Road Traffic Noise Annoyance Assessment
por: Wang, Jie, et al.
Publicado: (2023)

Learn Keras for deep neural networks: a fast-track approach to modern deep learning with Python
por: Moolayil, Jojo
Publicado: (2019)

Learn Keras for deep neural networks: a fast-track approach to modern deep learning with Python
por: Moolayil, Jojo
Publicado: (2018)

Automatic identification of pavement cracks in public roads using an optimized deep convolutional neural network model
por: Lv, Zhihan, et al.
Publicado: (2023)

Edge AI-Based Automated Detection and Classification of Road Anomalies in VANET Using Deep Learning
por: Bibi, Rozi, et al.
Publicado: (2021)

Real-Time Mine Road Boundary Detection and Tracking for Autonomous Truck
por: Lu, Xiaowei, et al.
Publicado: (2020)

The Effectiveness of Image Augmentation in Deep Learning Networks for Detecting COVID-19: A Geometric Transformation Perspective
por: Elgendi, Mohamed, et al.
Publicado: (2021)

Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks
por: Stember, J. N., et al.
Publicado: (2019)

Airborne Visual Detection and Tracking of Cooperative UAVs Exploiting Deep Learning
por: Opromolla, Roberto, et al.
Publicado: (2019)

Damage Detection of Unwashed Eggs through Video and Deep Learning
por: Huang, Yuan, et al.
Publicado: (2023)

ARDformer: Agroforestry Road Detection for Autonomous Driving Using Hierarchical Transformer
por: Firkat, Eksan, et al.
Publicado: (2022)

Damage Detection and Localization of Bridge Deck Pavement Based on Deep Learning
por: Ni, Youhao, et al.
Publicado: (2023)

Optimization of Choreography Teaching with Deep Learning and Neural Networks
por: Zhou, Qianling, et al.
Publicado: (2022)

Design of Optimal Rainfall Monitoring Network Using Radar and Road Networks
por: Kwon, Taeyong, et al.
Publicado: (2021)

Deep Learning and Transformer Approaches for UAV-Based Wildfire Detection and Segmentation
por: Ghali, Rafik, et al.
Publicado: (2022)

Real-Time Object Tracking with Template Tracking and Foreground Detection Network
por: Dai, Kaiheng, et al.
Publicado: (2019)

Cooperative Multi-Sensor Tracking of Vulnerable Road Users in the Presence of Missing Detections
por: Dimitrievski, Martin, et al.
Publicado: (2020)

PHD Filter for Object Tracking in Road Traffic Applications Considering Varying Detectability
por: Törő, Olivér, et al.
Publicado: (2021)

Typology, network features and damage response in worldwide urban road systems
por: Valenzuela, Jesus Felix Bayta, et al.
Publicado: (2022)

A two-stage simulation analysis of uncertain road damage on the urban emergency delivery network
por: Song, Yinghua, et al.
Publicado: (2022)

An Attempt to Track Two Grades of Road Bitumen from Different Plants Using Fourier Transform Infrared Spectroscopy
por: Adiko, Serge-Bertrand, et al.
Publicado: (2021)

Detecting and tracking using 2D laser range finders and deep learning
por: Aguirre, Eugenio, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_oqthkm2ppkmr5thoec0d7dniah