Výsledky vyhledávání - Hybrid algorithm-based sign detection algorithms*

A Hybrid Feature Fusion Traffic Sign Detection Algorithm Based on YOLOv7.

Autoři: Ren, Bingyi Zhang, Juwei Wang, Tong

Zdroj: Computers, Materials & Continua; 2024, Vol. 80 Issue 1, p1425-1440, 16p

Témata: TRAFFIC monitoring, TRAFFIC signs & signals, COMPUTATIONAL complexity, AUTONOMOUS vehicles, ALGORITHMS

Computational methods for automatic traffic signs recognition in autonomous driving on road: A systematic review

Autoři: Hui Chen Mohammed A.H. Ali Yusoff Nukman a další

Zdroj: Results in Engineering, Vol 24, Iss , Pp 103553- (2024)

Témata: Traffic sign detection (TSD), Traffic sign recognition(TSR), Traditional-based sign detection algorithm, Deep Learning based sign detection algorithms, Hybrid algorithm-based sign detection algorithms, Technology

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2590123024017961; https://doaj.org/toc/2590-1230

Přístupová URL adresa: https://doaj.org/article/b286c95037b941c6acfbc56c05543989

CSW-YOLO: A traffic sign small target detection algorithm based on YOLOv8.

Autoři: Shen, Qian Li, Yi Zhang, YuXiang a další

Zdroj: PLoS ONE; 3/20/2025, Vol. 20 Issue 3, p1-17, 17p

Témata: TRAFFIC monitoring, DETECTION algorithms, TRAFFIC signs & signals, SOURCE code, AUTONOMOUS vehicles

A Lightweight Traffic Sign Detection Model Based on Improved YOLOv8s for Edge Deployment in Autonomous Driving Systems Under Complex Environments.

Autoři: Xing, Chen Sun, Haoran Yang, Jiafu

Zdroj: World Electric Vehicle Journal; Aug2025, Vol. 16 Issue 8, p478, 18p

Témata: AUTONOMOUS vehicles, EDGE computing, COMPUTER vision, COMPUTER performance, TRAFFIC signs & signals, OBJECT recognition (Computer vision), DETECTION algorithms

A feature cascade and recursive fusion architecture for traffic sign detection in vehicle perception.

Autoři: Liu, Xianzheng Wang, Xuemei Li, Feng a další

Zdroj: Scientific Reports; 11/25/2025, Vol. 15 Issue 1, p1-13, 13p

Témata: TRAFFIC signs & signals, DETECTION algorithms

YOLO-DPDG: A Dual-Pooling Dynamic Grouping Network for Small and Long-Distance Traffic Sign Detection.

Autoři: Liang, Ruishi Jiang, Minjie Li, Shuaibing

Zdroj: Applied Sciences (2076-3417); Oct2025, Vol. 15 Issue 20, p10921, 25p

Témata: TRAFFIC signs & signals, AUTONOMOUS vehicles, OBJECT recognition (Computer vision), OPTIMIZATION algorithms, DETECTION algorithms, STATISTICAL models

YOLOv8s-DDA: An Improved Small Traffic Sign Detection Algorithm Based on YOLOv8s.

Autoři: Niu, Meiqi Chen, Yajun Li, Jianying a další

Zdroj: Electronics (2079-9292); Sep2024, Vol. 13 Issue 18, p3764, 17p

Témata: OBJECT recognition (Computer vision), TRAFFIC signs & signals, TRAFFIC monitoring, FEATURE extraction, ALGORITHMS

DSF-YOLO for robust multiscale traffic sign detection under adverse weather conditions.

Autoři: Li, Jun Deng, QinWen Gao, WenXin a další

Zdroj: Scientific Reports; 7/7/2025, Vol. 15 Issue 1, p1-17, 17p

Témata: TRAFFIC signs & signals, DATA augmentation, ARTIFICIAL neural networks, DETECTION algorithms, FEATURE extraction, AUTONOMOUS vehicles, SEVERE storms

An improved lightweight algorithm for traffic sign detection.

Autoři: Xu, Jia Du, Yingjie Yi, Yuwei a další

Zdroj: Scientific Reports; 9/29/2025, Vol. 15 Issue 1, p1-14, 14p

Témata: TRAFFIC signs & signals, AUTONOMOUS vehicles, ARTIFICIAL neural networks, ALGORITHMS, STATISTICAL accuracy

HCF-YOLO: a high-performance traffic sign detection model with hybrid channel fusion and auxiliary box regression.

Autoři: Ren, Hongge Song, Hairui Liu, Haiqiang a další

Zdroj: Journal of Real-Time Image Processing; Oct2025, Vol. 22 Issue 5, p1-14, 14p

An Enhanced Algorithm for Detecting Small Traffic Signs Using YOLOv10.

Autoři: Liu, Hongrui Wang, Ke Wang, Yudi a další

Zdroj: Electronics (2079-9292); Mar2025, Vol. 14 Issue 5, p955, 19p

Témata: TRAFFIC monitoring, DETECTION algorithms, TRAFFIC signs & signals, COMPUTER vision, FEATURE extraction, TRAFFIC safety

A Review of Object Detection Techniques in IoT-Based Intelligent Transportation Systems.

Autoři: Wang, Jiaqi Su, Jian

Zdroj: Computers, Materials & Continua; 2025, Vol. 84 Issue 1, p125-152, 28p

Témata: OBJECT recognition (Computer vision), DATA privacy, TRAFFIC monitoring, TRAFFIC congestion, TRAFFIC signs & signals, INTELLIGENT transportation systems, TRAFFIC safety

Traffic sign recognition using local directional histogram of oriented gradients.

Autoři: Simiyu, Prestone Angulu, Raphael Otanga, Daniel

Zdroj: African Journal of Empirical Research; Jul-Sep2025, Vol. 6 Issue 3, p702-718, 17p

Témata: TRAFFIC signs & signals, MACHINE learning, RANDOM forest algorithms, IMAGE processing, SUPPORT vector machines

Early Prediction and Risk Analysis Using Hybrid Deep Learning Techniques in Multimodal Biomedical Image.

Autoři: Vylala A Plakkottu Radhakrishnan B Balakrishnan Kadan A

Zdroj: Developmental neurobiology [Dev Neurobiol] 2025 Oct; Vol. 85 (4), pp. e23001.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Wiley Subscription Services, Inc Country of Publication: United States NLM ID: 101300215 Publication Model: Print Cited Medium: Internet ISSN: 1932-846X (Electronic) Linking ISSN: 19328451 NLM ISO Abbreviation: Dev Neurobiol Subsets: MEDLINE

Výrazy ze slovníku MeSH: Deep Learning* , Multimodal Imaging*/methods , Early Detection of Cancer*/methods , Image Processing, Computer-Assisted*/methods , Neoplasms*/diagnostic imaging, Humans ; Magnetic Resonance Imaging/methods ; Risk Assessment/methods ; Tomography, X-Ray Computed/methods

Deep Learning-Enabled MANET Architecture for Real-Time Traffic Sign Detection.

Autoři: Krishna, Kunchanapalli Rama K., Shashi Raj Kumar, Sunil a další

Zdroj: International Journal of Environmental Sciences (2229-7359); 2025, Vol. 11 Issue 6, p1896-1910, 15p

Témata: DEEP learning, INTELLIGENT transportation systems, AUTOMOTIVE sensors, ROAD safety measures, SYNCHRONIZATION, TRAFFIC signs & signals, AD hoc computer networks

Traffic Sign Detection with Low Complexity for Intelligent Vehicles Based on Hybrid Features.

Autoři: Khalid, Sara Shah, Jamal Hussain Sharif, Muhammad a další

Zdroj: Computers, Materials & Continua; 2023, Vol. 76 Issue 1, p861-879, 19p

Témata: TRAFFIC monitoring, TRAFFIC signs & signals, TRAFFIC flow, HYBRID electric vehicles, SUPPORT vector machines

Enhancing Autonomous Driving Safety: A Robust Stacking Ensemble Model for Traffic Sign Detection and Recognition.

Autoři: Wang, Yichen Wang, Jie Wang, Qianjin

Zdroj: Sustainability (2071-1050); Oct2024, Vol. 16 Issue 19, p8597, 20p

ECSNet: A Lightweight and Enhanced YOLOv8–Based Model for Traffic Sign Detection.

Autoři: Ouyang, Yifan Zhang, Yingqian

Zdroj: Signal, Image & Video Processing; Dec2025, Vol. 19 Issue 12, p1-11, 11p

TFP-YOLO: Obstacle and Traffic Sign Detection for Assisting Visually Impaired Pedestrians.

Autoři: Zheng, Zhiwei Cheng, Jin Jin, Fanghua

Zdroj: Sensors (14248220); Sep2025, Vol. 25 Issue 18, p5879, 20p

Témata: TRAFFIC signs & signals, PEOPLE with visual disabilities, PUBLIC spaces, GUIDE dogs, COMPUTER vision, OBJECT recognition (Computer vision)

TSR-YOLO: A Chinese Traffic Sign Recognition Algorithm for Intelligent Vehicles in Complex Scenes.

Autoři: Song, Weizhen Suandi, Shahrel Azmin

Zdroj: Sensors (14248220); Jan2023, Vol. 23 Issue 2, p749, 23p

Témata: TRAFFIC signs & signals, TRAFFIC monitoring, EXTREME weather, FEATURE extraction, ALGORITHMS, TRAFFIC safety, AUTOMOBILE license plates