Sökresultat - "Traffic sign detection"

IoT based Speed Control Monitoring and Accident Avoidance using AI Traffic Sign Detection

Rathanasabhapathy, G., Dharaneesh, M., Harivignesh, K. S. M., Manikandan, M.

2025 5th International Conference on Trends in Material Science and Inventive Materials (ICTMIM)

Real-Time Traffic Sign Detection and Recognition Using Faster R-CNN with VGG16 Backbone

Pandey, Dev Ras, Raghatat, Kapesh Subhash

2025 International Conference on Automation and Computation (AUTOCOM)

Comparative Analysis of Deep Learning Models on GTSRB Dataset for Classifying Under-Represented Data

Varghese, Remin, Salim, Soja

2025 Emerging Technologies for Intelligent Systems (ETIS)

Improving Traffic Sign Recognition with the YOLOv9 Algorithm

Anand, Ketan, Dwivedi, Shyam Shankar

2025 2nd International Conference on Computational Intelligence, Communication Technology and Networking (CICTN)

Real-Time Traffic Sign Recognition for Smart Transportation in Indian Urban Environments Using YOLOv9

Kumaran, N. Nithish, William, J.S. Joewin, Gnaneswar, K., Devi, S. Padma

2025 International Conference on Multi-Agent Systems for Collaborative Intelligence (ICMSCI)

YOLOv8-WS: Improved YOLOv8n for Traffic Sign Detection

Wu, Chi-Hsun, Shiung, David

2025 IEEE International Conference on Consumer Electronics (ICCE)

HCLT-YOLO: A Hybrid CNN and Lightweight Transformer Architecture for Object Detection in Complex Traffic Scenes

Chen, Z., Yang, K., Wu, Y., Yang, H., Tang, X.

CRS-NET: A CNN Network for Traffic Sign Detection

Cai, W., Yu, X., Rong, X.

YOLOv7-SC:A Traffic Sign Detection Algorithm Based On SimAM and improved SPPCSPC-C

Huang, Qian, Nong, Haiyuan, Peng, Wenquan, Deng, Chao

2024 6th International Conference on Frontier Technologies of Information and Computer (ICFTIC)

Deep Learning Based Traffic Sign Recognition using CNN and TensorFlow

Gowtham, P.Srinivasa, Bhargavi, Maridu, Kavyanjali, P., Babu, P.Naga, Subhash, K.

2024 International Conference on Sustainable Communication Networks and Application (ICSCNA)

SCDet: Scale-aware and Context-rich Feature Fusion Network for Traffic Sign Detection

Li, Xin, Ke, Yan, Zhang, Wendong, Wang, Bo

2024 IEEE Smart World Congress (SWC)

Design and Evaluation of a Self-Driving Prototype Using Raspberry Pi and EzBlock

Younus, Mahmoud Nabeel, Khazal Younis, Ahmed

2024 1st International Conference on Emerging Technologies for Dependable Internet of Things (ICETI)

Improving YOLOv5 for Traffic Sign Detection

Guo, Xin, Li, Hao

2024 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)

RCW-YOLO: Improved traffic sign detection model based on YOLOv8 for complex scenes

Liu, Yunxiang, Shi, Yuqing, Yuan, Xinxin

2024 9th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)

Real-Time Traffic Sign Detection System for Autonomous Driving Based on YOLO Algorithm

Qiu, Linrun

2024 Cross Strait Radio Science and Wireless Technology Conference (CSRSWTC)

Traffic Sign Detection Based on Improved YOLOv5-S

Wang, Zixuan, Luo, Wenhui, LI, Xiaobin, Hao, Wenhu

2024 China Automation Congress (CAC)

Towards a Driverless Future: Image Processing and RF Based Communication Technologies in Autonomous Vehicles

Gelmez, Mustafa, Kirmizi, Baki, Altinel, Dogay

2024 Innovations in Intelligent Systems and Applications Conference (ASYU)

Traffic Sign Small Object Detection Algorithm Combining Multi-feature and Accurate Location

Ke, Zunwang, Chen, Shuaibo, Du, Minghua, Zhou, Jisheng, Zhang, Yugui

2024 IEEE International Conference on Cognitive Computing and Complex Data (ICCD)

YOLOv7 versus YOLOv8: A Comparative Study on Traffic Sign Detection Accuracy in Real-World Images

Wojciechowski, Witold, Nowakowska, Leslawa M., Zajac, Zofia G., Kaczmarek, Walenty J., Boz, Ilayda

2024 8th International Artificial Intelligence and Data Processing Symposium (IDAP)

Traffic Sign Detection in Strong Glare Scenes

Su, Yongdong, Xu, Zhongcheng, Luo, Xianglong, Liu, Ruochen

2024 3rd International Conference on Electronics and Information Technology (EIT)