Results 61 to 70 of about 302,063 (326)

VSSA-NET: Vertical Spatial Sequence Attention Network for Traffic Sign Detection

, 2019
Although traffic sign detection has been studied for years and great progress has been made with the rise of deep learning technique, there are still many problems remaining to be addressed.
IEEE, IEEE, IEEE, Member, Senior, Member, Senior, Member, Student, Wang, Qi, Xiong, Zhitong, Yuan, Yuan   +8 more
core   +1 more source

Traffic sign detection and tracking using robust 3D analysis [PDF]

, 2012
In this paper we present an innovative technique to tackle the problem of automatic road sign detection and tracking using an on-board stereo camera. It involves a continuous 3D analysis of the road sign during the whole tracking process.
Arróspide Laborda, Jon, Camplani, Massimo, Marinas Mateos, Javier, Salgado Álvarez de Sotomayor, Luis   +3 more
core   +1 more source

Traffic Sign Detection and Identification

Driving Assessment Conference 2013, 2013
Previous studies using eye-trackers have suggested that drivers can extract information from traffic signs and markings without fixating them. The first study reported here examined the angle of gaze away from signs that enables sign detection: detection conspicuity angle.
Inman, Vaughan W, Philips, Brian H
openaire   +2 more sources

Traffic Sign Classification and Detection of Indian Traffic Signs using Deep Learning

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2021
This paper presents an effective solution to detecting traffic signs on road by first classifying the traffic sign images us-ing Convolutional Neural Network (CNN) on the German Traffic Sign Recognition Benchmark (GTSRB)[1] and then detecting the images of Indian Traffic Signs using the Indian Dataset which will be used as testing dataset while ...
Manjiri Bichkar, Suyasha Bobhate, Prof. Sonal Chaudhari   +2 more
openaire   +1 more source

TSD-YOLO: Small traffic sign detection based on improved YOLO v8

IET Image Processing
Traffic sign detection is critical for autonomous driving technology. However, accurately detecting traffic signs in complex traffic environments remains challenge despite the widespread use of one‐stage detection algorithms known for their real‐time ...
Songjie Du, W. Pan, Nuoya Li, Songyin Dai, Bingxin Xu, Hongzhe Liu, Cheng Xu, Xuewei Li   +7 more
semanticscholar   +1 more source

Traffic Light Detection:A Learning Algorithm and Evaluations on Challenging Dataset [PDF]

, 2015
Traffic light recognition (TLR) is an integral part of any intelligent vehicle, which must function in the existing infrastructure. Pedestrian and sign detection have recently seen great improvements due to the introduction of learning based detectors ...
Jensen, Morten Bornø, Moeslund, Thomas B., Møgelmose, Andreas, Philipsen, Mark Philip, Trivedi, Mohan M.   +4 more
core   +2 more sources

Detecting Small Signs from Large Images

, 2017
In the past decade, Convolutional Neural Networks (CNNs) have been demonstrated successful for object detections. However, the size of network input is limited by the amount of memory available on GPUs. Moreover, performance degrades when detecting small
Chen, Min, Chen, Xin, Fan, Xiaochuan, Meng, Zibo, Tong, Yan   +4 more
core   +1 more source

Mechanisms of parasite‐mediated disruption of brain vessels

FEBS Letters, EarlyView.
Parasites can affect the blood vessels of the brain, often causing serious neurological problems. This review explains how different parasites interact with and disrupt these vessels, what this means for brain health, and why these processes matter. Understanding these mechanisms may help us develop better ways to prevent or treat brain infections in ...
Leonor Loira, Sílvia Arroz‐Madeira, Cláudio A. Franco, Sara Silva Pereira   +3 more
wiley   +1 more source

Traffic sign recognition by using chain code [PDF]

Al-Rafidain Journal of Computer Sciences and Mathematics, 2012
The Traffic signs are considered as Traffic Safety tools, Because of their role in the organization of traffic and vehicles to insure the safety of the passengers, pedestrians and the structures of traffic signs are very important devices which help the ...
Sundus Ebraheem, Reham Al-Atiwi
doaj   +1 more source

Two Novel Models for Traffic Sign Detection Based on YOLOv5s

Axioms, 2023
Object detection and image recognition are some of the most significant and challenging branches in the field of computer vision. The prosperous development of unmanned driving technology has made the detection and recognition of traffic signs crucial ...
Wei Bai, Jingyi Zhao, Chenxu Dai, Haiyang Zhang, Li Zhao, Zhanlin Ji, Ivan Ganchev   +6 more
semanticscholar   +1 more source