Results 31 to 40 of about 454,265 (301)
Assistance System for Traffic Signs Inventory
We can see arising trend in the automotive industry in last years – autonomous cars that are driven just by on-board computers. The traffic signs tracking system must deal with real conditions with data that are frequently obtained in poor light ...
Karel Zídek +3 more
doaj +1 more source
REAL TIME DETECTION AND CLASSIFICATION OF TRAFFIC SIGNS BASED ON YOLO VERSION 3 ALGORITHM [PDF]
The issue of effective detection and classification of various traffic signs is studied. The two-stage method is proposed for creation of holistic model with end-to-end solution.
Valentyn N. Sichkar, Sergey A. Kolyubin
doaj +1 more source
Road signage comprehension and overload: The role of driving style and need for closure [PDF]
This study looks at the provision of information via traffic signs and its relation with driving styles, need for closure and socio-economic characteristics of road users.
Bortei-Doku, Shaun +3 more
core +1 more source
Analysis of factors temporarily impacting traffic sign readability
Traffic sign readability can be affected by the existence of dirt on traffic sign faces. However, among damaged signs, dirty traffic signs are unique since their damage is not permanent and they just can be cleaned instead of replaced.
Majid Khalilikhah, Kevin Heaslip
doaj +1 more source
Evaluating the effects of bilingual traffic signs on driver performance and safety [PDF]
Variable Message Signs (VMS) can provide immediate and relevant information to road users and bilingual VMS can provide great flexibility in countries where a significant proportion of the population speak an alternative language to the majority.
A. H. Jamson +32 more
core +1 more source
Abstract: The traffic signs engraved on the streets nowadays improve traffic security by advising the driver regarding speed limits or any further potential perils like profound thrilling streets, inescapable fix street works or any common intersections.
openaire +1 more source
Traffic sign detection for U.S. roads:Remaining challenges and a case for tracking [PDF]
— Traffic sign detection is crucial in intelligent vehi-cles, no matter if one’s objective is to develop Advanced Driver Assistance Systems or autonomous cars.
Liu, Dongran +2 more
core +3 more sources
{"references": ["J. Cooper, K. Stafford, P. Owlett and J. Mitchell. CSS Street Lighting\nProject SL5/2007. Published Project Report PPR382. Review of the\nlighting requirement for traffic signs and bollards.", "Jennie Oxley and Brian Fildes. Monash University Accident Research\nCentre.
A. Gutiérrez +4 more
openaire +1 more source
Method for Establishing a Spatial Database of Traffic Signs with Machine Learning
Traffic signs are part of road equipment whose existence is very important, in addition to functioning as warnings, prohibitions, orders, or instructions for road users, traffic signs are also a means to reduce accidents and regulate driver behavior ...
Nindyo Cahyo Kresnanto +1 more
doaj +1 more source
Simultaneous Traffic Sign Detection and Boundary Estimation using Convolutional Neural Network
We propose a novel traffic sign detection system that simultaneously estimates the location and precise boundary of traffic signs using convolutional neural network (CNN).
Kim, Kang, Lee, Hee Seok
core +1 more source

