Recognition Stage for a Speed Supervisor Based on Road Sign Detection
Traffic accidents are still one of the main health problems in the World. A number of measures have been applied in order to reduce the number of injuries and fatalities in roads, <em>i.e.</em>, implementation of Advanced Driver Assistance Systems (ADAS) based on image pr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2012-09-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/12/9/12153 |
| _version_ | 1811184437879111680 |
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| author | José María Armingol Arturo de la Escalera de la Escalera Juan-Pablo Carrasco |
| author_facet | José María Armingol Arturo de la Escalera de la Escalera Juan-Pablo Carrasco |
| author_sort | José María Armingol |
| collection | DOAJ |
| description | Traffic accidents are still one of the main health problems in the World. A number of measures have been applied in order to reduce the number of injuries and fatalities in roads, <em>i.e.</em>, implementation of Advanced Driver Assistance Systems (ADAS) based on image processing. In this paper, a real time speed supervisor based on road sign recognition that can work both in urban and non-urban environments is presented. The system is able to recognize 135 road signs, belonging to the danger, yield, prohibition obligation and indication types, and sends warning messages to the driver upon the combination of two pieces of information: the current speed of the car and the road sign symbol. The core of this paper is the comparison between the two main methods which have been traditionally used for detection and recognition of road signs: template matching (TM) and neural networks (NN). The advantages and disadvantages of the two approaches will be shown and commented. Additionally we will show how the use of well-known algorithms to avoid illumination issues reduces the amount of images needed to train a neural network. |
| first_indexed | 2024-04-11T13:12:20Z |
| format | Article |
| id | doaj.art-2a1e293a506a480b8aae1d409a7fabfd |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T13:12:20Z |
| publishDate | 2012-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-2a1e293a506a480b8aae1d409a7fabfd2022-12-22T04:22:29ZengMDPI AGSensors1424-82202012-09-01129121531216810.3390/s120912153Recognition Stage for a Speed Supervisor Based on Road Sign DetectionJosé María ArmingolArturo de la Escalera de la EscaleraJuan-Pablo CarrascoTraffic accidents are still one of the main health problems in the World. A number of measures have been applied in order to reduce the number of injuries and fatalities in roads, <em>i.e.</em>, implementation of Advanced Driver Assistance Systems (ADAS) based on image processing. In this paper, a real time speed supervisor based on road sign recognition that can work both in urban and non-urban environments is presented. The system is able to recognize 135 road signs, belonging to the danger, yield, prohibition obligation and indication types, and sends warning messages to the driver upon the combination of two pieces of information: the current speed of the car and the road sign symbol. The core of this paper is the comparison between the two main methods which have been traditionally used for detection and recognition of road signs: template matching (TM) and neural networks (NN). The advantages and disadvantages of the two approaches will be shown and commented. Additionally we will show how the use of well-known algorithms to avoid illumination issues reduces the amount of images needed to train a neural network.http://www.mdpi.com/1424-8220/12/9/12153ADASdetectionrecognitionroad signspattern matchingneural network |
| spellingShingle | José María Armingol Arturo de la Escalera de la Escalera Juan-Pablo Carrasco Recognition Stage for a Speed Supervisor Based on Road Sign Detection Sensors ADAS detection recognition road signs pattern matching neural network |
| title | Recognition Stage for a Speed Supervisor Based on Road Sign Detection |
| title_full | Recognition Stage for a Speed Supervisor Based on Road Sign Detection |
| title_fullStr | Recognition Stage for a Speed Supervisor Based on Road Sign Detection |
| title_full_unstemmed | Recognition Stage for a Speed Supervisor Based on Road Sign Detection |
| title_short | Recognition Stage for a Speed Supervisor Based on Road Sign Detection |
| title_sort | recognition stage for a speed supervisor based on road sign detection |
| topic | ADAS detection recognition road signs pattern matching neural network |
| url | http://www.mdpi.com/1424-8220/12/9/12153 |
| work_keys_str_mv | AT josemariaarmingol recognitionstageforaspeedsupervisorbasedonroadsigndetection AT arturodelaescaleradelaescalera recognitionstageforaspeedsupervisorbasedonroadsigndetection AT juanpablocarrasco recognitionstageforaspeedsupervisorbasedonroadsigndetection |