Results 51 to 60 of about 302,063 (326)
Did You Miss the Sign? A False Negative Alarm System for Traffic Sign Detectors
, 2019 Object detection is an integral part of an autonomous vehicle for its safety-critical and navigational purposes. Traffic signs as objects play a vital role in guiding such systems.
Dayoub, Feras +2 more
core +1 more source
Detecting Change in the Urban Road Environment Along a Route Based on Traffic Sign and Crossroad Data [PDF]
, 2018 Occurrences of traffic signs that belong to certain sign categories and occurrences of crossroads of various topologies are utilized in detecting change in the urban road environment that moves past an ego-car.
A Amditis +13 more
core +1 more source
Improved YOLOv5 Traffic Sign Detection
Frontiers in Computing and Intelligent Systems, 2023 Aiming at the problems such as low accuracy of traffic sign detection and poor real-time performance, a traffic sign detection algorithm based on YOLOv5 is proposed. First, the C2f module is introduced into the backbone network to obtain richer gradient flow information and enhance the feature fusion capability of the target.
Liming Zhou +4 more
openaire +1 more source
Fast recognition algorithm for static traffic sign information
Open Physics, 2018 Aiming at the low recognition rate, low recognition efficiency, poor anti-interference and high missing detection rate of current traffic sign recognition methods, a fast recognition algorithm based on SURF for static traffic sign information of highway ...
Guo Shaocui, Yang Xu
doaj +1 more source
Real-time Traffic Sign Detection Algorithm Based on DMC-YOLO [PDF]
Jisuanji gongchengIn traffic sign detection, external environmental interference and the small size of traffic sign targets in driving scenarios hinder detection performance.
LUAN Mengna, ZHENG Qiumei, WANG Fenghua
doaj +1 more source
An Improved Light-Weight Traffic Sign Recognition Algorithm Based on YOLOv4-Tiny
IEEE Access, 2021 Aiming at the problems of low detection accuracy and inaccurate positioning accuracy of light-weight network in traffic sign recognition task, an improved light-weight traffic sign recognition algorithm based on YOLOv4-Tiny was proposed. By improving the
Lanmei Wang +4 more
doaj +1 more source
Detection of Elliptical Traffic Signs [PDF]
, 2020 Detection of elliptical features is a challenging and important task in computer vision. In fact, ellipses can describe many objects in real images like manufactured objects, cells, ball, or traffic signs. Furthermore, an ellipse is defined by five parameters: the center coordinates, the semi major axe, the semi minor axe and the orientation, which ...
Manal El Baz, Taher Zaki, Hassan Douzi
openaire +1 more source
Traffic Sign Detection and Recognition Using YOLO Object Detection Algorithm: A Systematic Review
MathematicsContext: 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, mainly due to its speed and precision.
Marco Flores-Calero +8 more
semanticscholar +1 more source
New Dark Area Sensitive Tone Mapping for Deep Learning Based Traffic Sign Recognition
Sensors, 2018 In this paper, we propose a new Intelligent Traffic Sign Recognition (ITSR) system with illumination preprocessing capability. Our proposed Dark Area Sensitive Tone Mapping (DASTM) technique can enhance the illumination of only dark regions of an image ...
Jameel Ahmed Khan +2 more
doaj +1 more source
Visual Recognition of Traffic Signs in Natural Scenes Based on Improved RetinaNet
Entropy, 2022 Aiming at recognizing small proportion, blurred and complex traffic sign in natural scenes, a traffic sign detection method based on RetinaNet-NeXt is proposed.
Shangwang Liu +4 more
doaj +1 more source