Cargando…

A Multiscale Recognition Method for the Optimization of Traffic Signs Using GMM and Category Quality Focal Loss

Effective traffic sign recognition algorithms can assist drivers or automatic driving systems in detecting and recognizing traffic signs in real-time. This paper proposes a multiscale recognition method for traffic signs based on the Gaussian Mixture Model (GMM) and Category Quality Focal Loss (CQFL...

Descripción completa

Detalles Bibliográficos
Autores principales:	Gao, Mingyu, Chen, Chao, Shi, Jie, Lai, Chun Sing, Yang, Yuxiang, Dong, Zhekang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506910/ https://www.ncbi.nlm.nih.gov/pubmed/32867246 http://dx.doi.org/10.3390/s20174850

Ejemplares similares

Multiscale Traffic Sign Detection Method in Complex Environment Based on YOLOv4
por: Wang, Yongjie, et al.
Publicado: (2022)

Yolo-Based Traffic Sign Recognition Algorithm
por: Li, Ming, et al.
Publicado: (2022)

Hierarchical Novelty Detection for Traffic Sign Recognition
por: Ruiz, Idoia, et al.
Publicado: (2022)

Traffic Sign Recognition Based on the YOLOv3 Algorithm
por: Gong, Chunpeng, et al.
Publicado: (2022)

Recent Advances in Traffic Sign Recognition: Approaches and Datasets
por: Lim, Xin Roy, et al.
Publicado: (2023)

Retracted: Yolo-Based Traffic Sign Recognition Algorithm
por: Intelligence and Neuroscience, Computational
Publicado: (2023)

Low-Cost Optimized U-Net Model with GMM Automatic Labeling Used in Forest Semantic Segmentation
por: Andrei, Alexandru-Toma, et al.
Publicado: (2023)

A Novel GMM-Based Behavioral Modeling Approach for Smartwatch-Based Driver Authentication
por: Yang, Ching-Han, et al.
Publicado: (2018)

Multiple Sclerosis Lesion Detection Using Constrained GMM and Curve Evolution
por: Freifeld, Oren, et al.
Publicado: (2009)

Portfolio Efficiency Tests with Conditioning Information—Comparing GMM and GEL Estimators
por: Vigo-Pereira, Caio, et al.
Publicado: (2022)

Improved Traffic Sign Detection and Recognition Algorithm for Intelligent Vehicles
por: Cao, Jingwei, et al.
Publicado: (2019)

Towards Enhancing Traffic Sign Recognition through Sliding Windows
por: Atif, Muhammad, et al.
Publicado: (2022)

Learning Region-Based Attention Network for Traffic Sign Recognition
por: Zhou, Ke, et al.
Publicado: (2021)

Deep learning based mixed-dimensional GMM for characterizing variability in CryoEM
por: Chen, Muyuan, et al.
Publicado: (2021)

seGMM: A New Tool for Gender Determination From Massively Parallel Sequencing Data
por: Liu, Sihan, et al.
Publicado: (2022)

Traffic Sign Recognition Evaluation for Senior Adults Using EEG Signals
por: Koh, Dong-Woo, et al.
Publicado: (2021)

Health State Estimation of On-Board Lithium-Ion Batteries Based on GMM-BID Model
por: Feng, Shirui, et al.
Publicado: (2022)

Face-voice based multimodal biometric authentication system via FaceNet and GMM
por: Alharbi, Bayan, et al.
Publicado: (2023)

Vision-Based Traffic Sign Detection and Recognition Systems: Current Trends and Challenges
por: Wali, Safat B., et al.
Publicado: (2019)

Recognizing New Classes with Synthetic Data in the Loop: Application to Traffic Sign Recognition
por: Villalonga, Gabriel, et al.
Publicado: (2020)

Visual Recognition of Traffic Signs in Natural Scenes Based on Improved RetinaNet
por: Liu, Shangwang, et al.
Publicado: (2022)

Research on a Traffic Sign Recognition Method under Small Sample Conditions
por: Zhang, Xiao, et al.
Publicado: (2023)

Traffic Sign Recognition with Deep Learning: Vegetation Occlusion Detection in Brazilian Environments
por: Dalborgo, Vanessa, et al.
Publicado: (2023)

Biometric authentication data with three traits using compression technique, HOG, GMM and fusion technique
por: Naidu, Balaka Ramesh, et al.
Publicado: (2018)

PhenoGMM: Gaussian Mixture Modeling of Cytometry Data Quantifies Changes in Microbial Community Structure
por: Rubbens, Peter, et al.
Publicado: (2021)

The effect of heterogeneous environmental regulations on the employment skill structure: The system-GMM approach and mediation model
por: Jing, Yuhan, et al.
Publicado: (2023)

Universal Feature Extraction for Traffic Identification of the Target Category
por: Shen, Jian, et al.
Publicado: (2016)

The Effect of Land-Use Categories on Traffic Noise Annoyance
por: Lechner, Christoph, et al.
Publicado: (2022)

Fast Traffic Sign Recognition with a Rotation Invariant Binary Pattern Based Feature
por: Yin, Shouyi, et al.
Publicado: (2015)

A Hierarchical Approach for Traffic Sign Recognition Based on Shape Detection and Image Classification
por: Lu, Eric Hsueh-Chan, et al.
Publicado: (2022)

Detection of Elliptical Traffic Signs
por: El Baz, Manal, et al.
Publicado: (2020)

Identifying key multifunctional components shared by critical cancer and normal liver pathways via SparseGMM
por: Bakr, Shaimaa, et al.
Publicado: (2023)

Complete Vision-Based Traffic Sign Recognition Supported by an I2V Communication System
por: García-Garrido, Miguel A., et al.
Publicado: (2012)

New Dark Area Sensitive Tone Mapping for Deep Learning Based Traffic Sign Recognition
por: Khan, Jameel Ahmed, et al.
Publicado: (2018)

Real-Time Traffic Sign Detection and Recognition Method Based on Simplified Gabor Wavelets and CNNs
por: Shao, Faming, et al.
Publicado: (2018)

Real-time traffic sign recognition based on a general purpose GPU and deep-learning
por: Lim, Kwangyong, et al.
Publicado: (2017)

Robust Semi-Supervised Traffic Sign Recognition via Self-Training and Weakly-Supervised Learning
por: Nartey, Obed Tettey, et al.
Publicado: (2020)

A New Traffic Sign Recognition Technique Taking Shuffled Frog-Leaping Algorithm into Account
por: Demokri Dizji, Pouya, et al.
Publicado: (2022)

TSR-YOLO: A Chinese Traffic Sign Recognition Algorithm for Intelligent Vehicles in Complex Scenes
por: Song, Weizhen, et al.
Publicado: (2023)

Two Distinct Categories of Focal Deletions in Cancer Genomes
por: Rajaram, Megha, et al.
Publicado: (2013)

Cannot write session to /tmp/vufind_sessions/sess_s0dh175to7dtjlhea8pvjjqs0o