scholarly journals Experiments With Reservoir Computing On The Road Sign Problem

2016 ◽  
Author(s):  
Eric Aislan Antonelo ◽  
Benjamin Schrauwen ◽  
Dirk Stroobandt
Keyword(s):  
Reservoir Computing ◽  
The Road ◽  
Road Sign ◽  
Sign Problem ◽  
On The Road

scholarly journals Application on character recognition system on road sign for visually impaired: case study approach and future

2020 ◽  
Vol 10 (1) ◽  
pp. 778
Author(s):  
Jaejoon Kim
Keyword(s):  
Phase I ◽  
Visual Information ◽  
Character Recognition ◽  
Visually Impaired ◽  
Recognition System ◽  
The Road ◽  
Road Signs ◽  
Road Sign ◽  
Text Information ◽  
On The Road

Many visually impaired people worldwide are unable to travel safely and autonomously because they are physically unable to perceive effective visual information during their daily lives. In this research, we study how to extract the character information of the road sign and transmit it to the visually impaired effectively, so they can understand easier. Experimental method is to apply the Maximally Stable External Region and Stroke Width Transform method in Phase I so that the visually impaired person can recognize the letters on the road signs. It is to convey text information to the disabled. The result of Phase I using samples of simple road signs was to extract the sign information after dividing the exact character area, but the accuracy was not good for the Hangul (Korean characters) information. The initial experimental results in the Phase II succeeded in transmitting the text information on Phase I to the visually impaired. In the future, it will be required to develop a wearable character recognition system that can be attached to the visually impaired. In order to perform this task, we need to develop and verify a miniaturized and wearable character recognition system. In this paper, we examined the method of recognizing road sign characters on the road and presented a possibility that may be applicable to our final development.

scholarly journals ROAD SAFETY AWARENESS AMONG UNIVERSITY STUDENTS: CASE STUDY AT MALAYSIA UNIVERSITI TUN HUSSEIN ONN MALAYSIA, JOHOR

2021 ◽  
Vol 12 (1) ◽  
pp. 56-65
Author(s):  
R. Abd Rahman ◽  
H. A. Mazle ◽  
W. M. Lim ◽  
M. I. Mohd Masirin ◽  
M. F. Hassan
Keyword(s):  
University Students ◽  
Road Safety ◽  
Speed Limit ◽  
The Road ◽  
Young Drivers ◽  
Road Signs ◽  
Road Sign ◽  
Safety Awareness ◽  
On The Road

This descriptive study aims to assess the knowledge and awareness of road safety among university students. The study was conducted among students in Universiti Tun Hussein Onn Malaysia by means of questionnaire disseminated online via social media with shareable link to a Google form. The respondents were self-selected to participate in this study where their responses were self-administrated. Questionnaire consisted of 3 sections included demographic information, knowledge on road signs and road safety law, and road safety awareness. 371 students participated in this study, 66% of them age 23 to 27 years old, 61% were female, 92.5% of respondents have at least one type of license with majority agreed that occurrence of accidents resulted in an increase in road safety awareness. The study found that more than half of the participants could not recognise road sign like parking totally prohibited and speed limit ends here. While, 38% of them correctly identified posted speed limit for expressway. Overall, participants have fair understanding on road safety. Therefore, road safety programmes and education are still relevant to university students as young drivers on the road which is important to increase safety awareness.

scholarly journals Detection and Validation of Tow-Away Road Sign Licenses through Deep Learning Methods

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4147 ◽  
Author(s):  
Fabrizio Balducci ◽  
Donato Impedovo ◽  
Giuseppe Pirlo
Keyword(s):  
Deep Learning ◽  
Industrial Applications ◽  
The Public ◽  
The Road ◽  
Road Signs ◽  
Road Sign ◽  
Italian Law ◽  
Learning Techniques ◽  
Private Car ◽  
On The Road

This work presents the practical design of a system that faces the problem of identification and validation of private no-parking road signs. This issue is very important for the public city administrations since many people, after receiving a code that identifies the signal at the entrance of their private car garage as valid, forget to renew the code validity through the payment of a city tax, causing large money shortages to the public administration. The goal of the system is twice since, after recognition of the official road sign pattern, its validity must be controlled by extracting the code put in a specific sub-region inside it. Despite a lot of work on the road signs’ topic having been carried out, a complete benchmark dataset also considering the particular setting of the Italian law is today not available for comparison, thus the second goal of this work is to provide experimental results that exploit machine learning and deep learning techniques that can be satisfactorily used in industrial applications.

scholarly journals Solar Powered Autonomous Emergency Road Signing Waterlogged System in Highways

2019 ◽  
Vol 8 (4) ◽  
pp. 6514-6517
Keyword(s):  
Water Depth ◽  
Green Technology ◽  
Shallow Depth ◽  
The Road ◽  
Pv Panel ◽  
Road Sign ◽  
Arduino Uno ◽  
On The Road ◽  
Solar Powered ◽  
Wireless Module

An emergency road signing system is an important device to prevent road disasters, especially during jeopardize conditions. In this project, it is focused on the shallow depth of water from 10cm to 30cm that can slow down the vehicles or even causes the collision. Arduino UNO microcontroller is utilized to detect the waterlogged and shows the of water depth on the road sign to allow the drivers to make a decision ahead for passing through the waterlogged. Furthermore, ZigBee wireless module is used to interface the sensor and display to increase the movability of the display from the waterlogged location. The system is powered up by the PV panel to support green technology and protect the environment as well. From results, it is found that placing the three signboards before the waterlogged location is more effective for drivers to respond.

scholarly journals Processing of traffic sign passport on the road no. II/519 from the Prievidza city to end of the village Pribovce

2018 ◽  
Vol 6 (1) ◽  
pp. 10-13
Author(s):  
Jan Palúch ◽  
◽  
Kristián Čulík ◽  
Matúš Korfant ◽  
Alica Kalašová
Keyword(s):  
Current Situation ◽  
Final Part ◽  
Traffic Sign ◽  
The Road ◽  
Road Sign ◽  
Financial Costs ◽  
Economical Evaluation ◽  
On The Road ◽  
The Village

This paper deals with an analysis of the current situation, a proposal for a new traffic sign passport and economical evaluation of our solutions. Output of our work is new traffic sign passport, which was offered to a, solutions of problematic sections are proposed, including the addition and removal of deficiencies in the selected section of the road. The final part deals with the evaluation of the design of the new road sign passport, which contains the necessary financial costs for the implementation of all modifications on route II / 519.

scholarly journals Integration of Image-Based Fog Detection with Autonomous Decision System for Intelligent Road Sign

2021 ◽  
Vol 51 (3) ◽  
pp. 19-36
Author(s):  
Wojciech Chmiel ◽  
Jan Derkacz ◽  
Andrzej Dziech ◽  
Janusz Gozdecki ◽  
Stanisław Jędrusik ◽  
...  
Keyword(s):  
Road Traffic ◽  
Real Life ◽  
Decision System ◽  
The Road ◽  
Road Signs ◽  
Road Sign ◽  
On The Road ◽  
Analysis System ◽  
Rule System ◽  
Fog Detection

Abstract The paper presents the description of the decision system implemented for Intelligent Road Signs. It focuses on the implementation of the novel air transparency analysis system and its integration with the rule system and the speed control infrastructure. Moreover, there are presented issues of making decisions about the content displayed in the case of autonomous and cooperating signs. To reflect more closely on real-life situations, it is assumed that the content presented by the IRS changes dynamically, depending on the road traffic and weather parameters. The IRS system operation was presented using fog detection as an example.

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