Traffic sign detection and recognition using YOLO object detection algorithm: A systematic review
Context: YOLO (You Look Only Once) is an algorithm based on deep neural networks with
real-time object detection capabilities. This state-of-the-art technology is widely available …
real-time object detection capabilities. This state-of-the-art technology is widely available …
A small object detection algorithm for traffic signs based on improved YOLOv7
S Li, S Wang, P Wang - Sensors, 2023 - mdpi.com
Traffic sign detection is a crucial task in computer vision, finding wide-ranging applications in
intelligent transportation systems, autonomous driving, and traffic safety. However, due to …
intelligent transportation systems, autonomous driving, and traffic safety. However, due to …
Contrast limited adaptive histogram equalization for recognizing road marking at night based on YOLO models
In recent years, artificial intelligence has led to rapid development and application across
various industries. One of the significant developments is the improvement of transportation …
various industries. One of the significant developments is the improvement of transportation …
[HTML][HTML] YOLOv7-TS: A traffic sign detection model based on sub-pixel convolution and feature fusion
S Zhao, Y Yuan, X Wu, Y Wang, F Zhang - Sensors, 2024 - mdpi.com
In recent years, significant progress has been witnessed in the field of deep learning-based
object detection. As a subtask in the field of object detection, traffic sign detection has great …
object detection. As a subtask in the field of object detection, traffic sign detection has great …
[HTML][HTML] How far and discernible are public toilets? A city-scale study using spatial analytics and deep learning in Nan**g, China
Y Dai, L Wang, Z Xu, M Li - Journal of Urban Management, 2025 - Elsevier
Everyone needs access to public toilets, yet despite their importance in ensuring timely use,
the shortage and limited availability of public toilets remain a global challenge. Conventional …
the shortage and limited availability of public toilets remain a global challenge. Conventional …
基于 YOLO 的自动驾驶目标检测研究综述.
茅智慧， 朱佳利， 吴鑫， **君 - Journal of Computer …, 2022 - search.ebscohost.com
自动驾驶是人工智能发展领域的一个重要方向, 拥有良好的发展前景, 而实时准确的目标检测与
识别是保证自动驾驶汽车安全稳定运行的基础与关键. 回顾自动驾驶和目标检测技术的发展历程 …
识别是保证自动驾驶汽车安全稳定运行的基础与关键. 回顾自动驾驶和目标检测技术的发展历程 …
Traffic sign detection by image preprocessing and deep learning
M Çetinkaya, T Acarman - 2021 5th International Conference …, 2021 - ieeexplore.ieee.org
Detection of traffic sign is quite important in autonomous driving and driver assistance
systems. In this study, Faster R-CNN as a very powerful object detection system is integrated …
systems. In this study, Faster R-CNN as a very powerful object detection system is integrated …
Solution of real-time traffic signs detection problem for autonomous vehicles by using YOLOV4 and haarcascade algorithms
Unmanned systems are increasingly used today to facilitate our daily lives and use time
more efficiently. Therefore, this rapidly emerging and growing technology appears in every …
more efficiently. Therefore, this rapidly emerging and growing technology appears in every …
Robust Classification of Traffic Signs using MRMR Feature Reduction Technique
With the advent of rising global population and vehicular traffic on the road, driver safety has
become a great concern for mankind. There has been an increased interest of research in …
become a great concern for mankind. There has been an increased interest of research in …
Detection and classification of road signs in raining condition with limited dataset
MJKB Mohamed Bysul Khan, NM Shah… - Signal, Image and Video …, 2023 - Springer
The road sign recognition (RSR) system is used to complete two tasks: localizing the traffic
sign in an image and then classifying it according to the image features. Some of the …
sign in an image and then classifying it according to the image features. Some of the …