The document summarizes the SAFEWAY2SCHOOL project, which aimed to research and design improved traffic signs to effectively warn road users about children on the road. It did this by taking into account the more demanding traffic situation today compared to when signs were originally designed. The project sought to enhance sign visibility so drivers could recognize signs from greater distances and react earlier. It evaluated existing signs, processed them using a "Minute of Arc" design method to improve visual quality at various scales, and tested enhanced signs through simulator studies. The goal was to raise the visual quality of signs to improve road safety.
The document summarizes key aspects of French cuisine, including that the French enjoy foods like escargot and frog's legs. Presentation of food is also important in French cuisine. French meals typically have four parts and lunches last at least two hours. Wines are as important as meals to the French. Some additional facts provided are that crêpes originated from Brittany, France produces over 400 types of cheeses and more than 1,000 varieties can be found in stores, and hot chocolate is popular though the French drink it from bowls.
The document provides an overview of the history and development of French cuisine from ancient times to the modern era. It discusses how French cuisine originated in Paris and was influenced by skilled chefs and social/political changes over centuries. Key developments included the establishment of haute cuisine in the 17th century, refinement of sauces and mother sauces in the 18th/19th centuries, modernization and standardization of techniques by Escoffier in the late 19th/early 20th century, and the nouvelle cuisine movement of the 1960s emphasizing lighter preparations and fresher ingredients. The document also outlines the diversity of regional cuisines across France.
An introduction of events leading the French Revolution of 1789, beginning with a discussion of the Old Regime and ending with the Women's March on Versailles
The document discusses research on object identification for risk assessment in autonomous driving. It presents a framework called FOI (Framework for Object Identification) that fuses information from disparity estimation, motion estimation through optical flow, and moving object detection to extract information about objects in driving scenes like object class, position, movement, speed and distance. This information can help determine important objects for decision making. The framework is tested on datasets like KITTI and EU-LT and able to accurately identify and label objects. Limitations and future work are also discussed.
This workshop in Semarang, Indonesia from April 18-19th, 2012 introduced participants to the crash investigation process. It discussed how police reports on crashes are collected in databases and can then be extracted, analyzed, and used to diagnose issues and develop countermeasures to improve road safety. The workshop encouraged participants to apply what they learned to enhance road safety in their own provinces and regions in Indonesia, where good road safety engineers are needed to make a difference.
Interest in immersive media increased significantly over recent years. Besides applications in entertainment, culture, health, industry, etc., telepresence and remote collaboration gained importance due to the pandemic and climate crisis. Immersive media have the potential to increase social integration and to reduce greenhouse gas emissions. As a result, technologies along the whole pipeline from capture to display are maturing and applications are becoming available, creating business opportunities. One aspect of immersive technologies that is still relatively undeveloped is the understanding of perception and quality, including subjective and objective assessment. The interactive nature of immersive media poses new challenges to estimation of saliency or visual attention, and to the development of quality metrics. The V-SENSE lab of Trinity College Dublin addresses these questions in current research. This talk will highlight corresponding examples in 360 VR video, light fields, volumetric video and XR.
This workshop summary discusses a road safety workshop that took place in Surabaya, Indonesia from May 30-31, 2012. The workshop introduced participants to the crash investigation process and how data is collected, stored, extracted and used to diagnose issues and develop countermeasures. It encouraged participants to think about how the knowledge gained could be applied to improve road safety in their own work. The document emphasizes that road safety engineers in Indonesia can make a difference through applying what they learned.
The document summarizes key aspects of French cuisine, including that the French enjoy foods like escargot and frog's legs. Presentation of food is also important in French cuisine. French meals typically have four parts and lunches last at least two hours. Wines are as important as meals to the French. Some additional facts provided are that crêpes originated from Brittany, France produces over 400 types of cheeses and more than 1,000 varieties can be found in stores, and hot chocolate is popular though the French drink it from bowls.
The document provides an overview of the history and development of French cuisine from ancient times to the modern era. It discusses how French cuisine originated in Paris and was influenced by skilled chefs and social/political changes over centuries. Key developments included the establishment of haute cuisine in the 17th century, refinement of sauces and mother sauces in the 18th/19th centuries, modernization and standardization of techniques by Escoffier in the late 19th/early 20th century, and the nouvelle cuisine movement of the 1960s emphasizing lighter preparations and fresher ingredients. The document also outlines the diversity of regional cuisines across France.
An introduction of events leading the French Revolution of 1789, beginning with a discussion of the Old Regime and ending with the Women's March on Versailles
The document discusses research on object identification for risk assessment in autonomous driving. It presents a framework called FOI (Framework for Object Identification) that fuses information from disparity estimation, motion estimation through optical flow, and moving object detection to extract information about objects in driving scenes like object class, position, movement, speed and distance. This information can help determine important objects for decision making. The framework is tested on datasets like KITTI and EU-LT and able to accurately identify and label objects. Limitations and future work are also discussed.
This workshop in Semarang, Indonesia from April 18-19th, 2012 introduced participants to the crash investigation process. It discussed how police reports on crashes are collected in databases and can then be extracted, analyzed, and used to diagnose issues and develop countermeasures to improve road safety. The workshop encouraged participants to apply what they learned to enhance road safety in their own provinces and regions in Indonesia, where good road safety engineers are needed to make a difference.
Interest in immersive media increased significantly over recent years. Besides applications in entertainment, culture, health, industry, etc., telepresence and remote collaboration gained importance due to the pandemic and climate crisis. Immersive media have the potential to increase social integration and to reduce greenhouse gas emissions. As a result, technologies along the whole pipeline from capture to display are maturing and applications are becoming available, creating business opportunities. One aspect of immersive technologies that is still relatively undeveloped is the understanding of perception and quality, including subjective and objective assessment. The interactive nature of immersive media poses new challenges to estimation of saliency or visual attention, and to the development of quality metrics. The V-SENSE lab of Trinity College Dublin addresses these questions in current research. This talk will highlight corresponding examples in 360 VR video, light fields, volumetric video and XR.
This workshop summary discusses a road safety workshop that took place in Surabaya, Indonesia from May 30-31, 2012. The workshop introduced participants to the crash investigation process and how data is collected, stored, extracted and used to diagnose issues and develop countermeasures. It encouraged participants to think about how the knowledge gained could be applied to improve road safety in their own work. The document emphasizes that road safety engineers in Indonesia can make a difference through applying what they learned.
Sunrise Presentation, Company Overview 2012jvangombos
Sunrise Labs is celebrating 20 years of transforming client ideas into award-winning medical and industrial products. They have an experienced management team and provide complete product development services, including system design, software development, prototyping, and regulatory approval assistance, leveraging strategic partners and a collaborative approach. With technical expertise in areas like electronics, embedded systems, and software, Sunrise Labs helps clients smoothly transition projects from design to manufacturing.
Sunrise is expert in product development for robust, reliable, "smart" devices and instrumentation and have deep technical expertise in project management and systems integration. We excel as a strategic engineering resource ranging from complete product development to component obsolescence, 3rd edition, RoHS/REACH compliance, SWQA, V&V, and life cycle management and are ISO-13485 certified.
The document discusses Samy El-Tawab's PhD defense presentation on the FRIEND system. FRIEND is a cyber-physical system that aims to aggregate traffic flow data collected from vehicles to provide drivers with real-time traffic condition information. It utilizes smart roadside infrastructure like smart cat's eyes and roadside units to collect, analyze, and disseminate traffic data and alerts to vehicles. The presentation outlines FRIEND's objectives, system components, and how it could help improve driver awareness of traffic conditions.
This document outlines Samy El-Tawab's PhD defense presentation on the FRIEND system. FRIEND is a cyber-physical system that aggregates traffic flow data collected from vehicles and roadside infrastructure to detect traffic events and disseminate relevant information. It uses smart road studs and roadside units to collect speed and location data from passing vehicles. This data is analyzed to determine traffic flow parameters and detect incidents. Relevant information is then shared with drivers via a color-coded system and advisories of serious incidents. The goals are to provide a meaningful overview of traffic conditions and alert drivers to any events.
In the first fortnight of the Otago Polytechnic Bachelor of Information Technology project we invite local industry leaders "The Dragons". They provide critique of projects as early as possible. This is a chance to get feedback, and hopefully unearth opportunities and risks.
Vision-Based Motorcycle Crash Detection and Reporting Using Deep LearningIRJET Journal
This document discusses developing a vision-based system to detect motorcycle crashes in real-time using deep learning. The researchers created a custom dataset of 398 images containing motorcycle accidents and used YOLOv4 for object detection. YOLOv4 was trained on the dataset and achieved 74% mAP and 60% precision, outperforming Faster R-CNN and YOLOv4-Tiny in accuracy and speed tests. The trained YOLOv4 model was then used to detect accidents in video streams and send alerts when crashes were identified. The system provides a potential real-time solution to detect motorcycle accidents using only vision.
(9) INTERACTION Final event - Recommendations and guidelinesInteraction-FP7
The document discusses recommendations for safer driver interaction with in-vehicle technologies based on research. It addresses methodology, design and engineering improvements, education and awareness efforts, and legislation and enforcement strategies. Recommendations include standardizing system designs, improving feedback and usability, educating drivers and dealers, considering restrictions on use, and integrating technologies into licensing and vehicle safety ratings. The goal is to maximize benefits and minimize risks of these evolving systems.
Ist africa2012 solution supporting building of global earth observation syste...Karel Charvat
The document discusses the EnviroGRIDS @ Black Sea Catchment project, which aims to build capacities in the Black Sea region to use international standards to gather, store, distribute, analyze, visualize, and disseminate environmental information. It does this by building a modern Spatial Data Infrastructure and GeoPortal that will integrate into the Global Earth Observation System of Systems. The GeoPortal allows users to discover, access, and use spatial data and services. It implements various OGC standards and is now part of the GEOSS infrastructure to support environmental monitoring and decision making.
Chapter 3 characteristics of highway componentsFayaz Rashid
This document discusses the key characteristics of drivers, pedestrians, vehicles, and roads which are important considerations for highway design. It covers:
1. Driver characteristics such as visual acuity, reaction time, and how they vary between individuals and can decline with age.
2. Pedestrian characteristics like walking speed and how it differs for those with disabilities.
3. Vehicle characteristics including size, weight, speed, which are used to determine a design vehicle for a road.
4. How all of these human and vehicle factors interact and must be accommodated in road design standards for elements like lane width and sight distances. Understanding the range of users is essential for engineering safe transportation infrastructure.
This document describes the objectives and activities of Work Package 3 (WP3) of the SaferBrain project, which aims to develop innovative guidelines and tools to improve safety for vulnerable road users (VRUs) in Brazil and India. WP3 focuses on defining safety measures and methodologies, developing a GIS-based decision support system (DSS) to identify suitable safety strategies, and programming the DSS software. The DSS is intended to support experts in analyzing VRU accidents, identifying critical safety issues, estimating the benefits of safety countermeasures, and conducting road safety audits and inspections. It incorporates international best practices and research to provide a customized methodology for assessing VRU safety in Brazil and India.
AUTOMATIC DETECTION OF TRAFFIC ACCIDENTS FROM VIDEO USING DEEP LEARNINGIRJET Journal
This document describes a study that developed an automatic, deep learning-based method for detecting traffic accidents from video footage. The proposed method uses a convolutional neural network to extract visual features from video frames. These features are then input to a convolutional LSTM network to identify temporal patterns associated with accident events. The model was trained on public traffic accident datasets and achieved 98% accuracy in detecting accidents under daylight conditions. The method provides timely accident detection without relying on road structure, which could help reduce response times for emergency services.
Driver Dormant Monitoring System to Avert Fatal Accidents Using Image ProcessingIRJET Journal
This document describes a driver drowsiness monitoring system that uses image processing to help prevent accidents. The system uses a Raspberry Pi with Python and OpenCV to detect the driver's face, extract the eye region, and monitor eye closure over time to determine drowsiness levels. If drowsiness is detected, the system activates alert levels that include a buzzer, sprinkler, indicator lights, and ultimately turning off the ignition. It then sends a photo of the drowsy driver to an emergency contact. The system aims to improve road safety by addressing one of the major causes of accidents - driver fatigue and lack of alertness during prolonged driving.
Driver Dormant Monitoring System to Avert Fatal Accidents Using Image ProcessingIRJET Journal
This document describes a driver drowsiness monitoring system that uses image processing to help prevent accidents. The system uses a Raspberry Pi with Python and OpenCV to detect the driver's face, extract the eye region, and monitor eye closure over time to determine drowsiness levels. If drowsiness is detected, the system activates alert levels that include a buzzer, sprinkler, light indicator, and finally turning off the vehicle ignition. An image of the drowsy driver is also emailed to an emergency contact. The system aims to improve road safety by addressing one of the major causes of accidents - driver fatigue.
Roadroid is a system that uses smartphones to continuously monitor road conditions by collecting road roughness data through the built-in vibration sensors in smartphones. This allows road organizations to more frequently and cost-effectively collect road condition data, which enables early warnings of changes or damage and more accurate operational road maintenance management. The collected measurement data is wirelessly transferred to an online mapping server where it can be aggregated, exported, and used by other road management systems. Roadroid provides an efficient, scalable, and cost-effective way for road organizations to monitor and report on road conditions.
INDOOR AND OUTDOOR NAVIGATION ASSISTANCE SYSTEM FOR VISUALLY IMPAIRED PEOPLE ...IRJET Journal
This document describes a proposed system to assist visually impaired individuals using object detection. The system uses YOLO (You Only Look Once) deep learning for fast and reliable object detection in images captured by a webcam in real-time. Detected objects are identified and conveyed to the user via text-to-speech. This allows visually impaired users to navigate indoor and outdoor environments with information about surrounding objects. The proposed system aims to address challenges faced by existing assistive technologies through improved accuracy and real-time performance of object recognition compared to other methods.
The document describes a drowsiness detection and accident avoidance system based on eye blink duration. The system uses computer vision techniques like eye aspect ratio to detect when a driver's blink duration exceeds a threshold, indicating drowsiness. An alarm then sounds to alert the driver. The system was developed to address the leading cause of accidents - driver fatigue. It analyzes eye state transitions from open to closed using techniques like OpenCV, deep learning and convolutional neural networks to accurately assess drowsiness. Hardware, software and module requirements are also outlined.
In the years to come urban areas in the EU face the challenge of making transport sustainable in terms of environment and competitiveness. Cycling is the most energy efficient and environmentally friendly mode of transport. SAFECYCLE looks at how ITS / ICT can help making cycling safer through the use of e-safety applications.
Sunrise Presentation, Company Overview 2012jvangombos
Sunrise Labs is celebrating 20 years of transforming client ideas into award-winning medical and industrial products. They have an experienced management team and provide complete product development services, including system design, software development, prototyping, and regulatory approval assistance, leveraging strategic partners and a collaborative approach. With technical expertise in areas like electronics, embedded systems, and software, Sunrise Labs helps clients smoothly transition projects from design to manufacturing.
Sunrise is expert in product development for robust, reliable, "smart" devices and instrumentation and have deep technical expertise in project management and systems integration. We excel as a strategic engineering resource ranging from complete product development to component obsolescence, 3rd edition, RoHS/REACH compliance, SWQA, V&V, and life cycle management and are ISO-13485 certified.
The document discusses Samy El-Tawab's PhD defense presentation on the FRIEND system. FRIEND is a cyber-physical system that aims to aggregate traffic flow data collected from vehicles to provide drivers with real-time traffic condition information. It utilizes smart roadside infrastructure like smart cat's eyes and roadside units to collect, analyze, and disseminate traffic data and alerts to vehicles. The presentation outlines FRIEND's objectives, system components, and how it could help improve driver awareness of traffic conditions.
This document outlines Samy El-Tawab's PhD defense presentation on the FRIEND system. FRIEND is a cyber-physical system that aggregates traffic flow data collected from vehicles and roadside infrastructure to detect traffic events and disseminate relevant information. It uses smart road studs and roadside units to collect speed and location data from passing vehicles. This data is analyzed to determine traffic flow parameters and detect incidents. Relevant information is then shared with drivers via a color-coded system and advisories of serious incidents. The goals are to provide a meaningful overview of traffic conditions and alert drivers to any events.
In the first fortnight of the Otago Polytechnic Bachelor of Information Technology project we invite local industry leaders "The Dragons". They provide critique of projects as early as possible. This is a chance to get feedback, and hopefully unearth opportunities and risks.
Vision-Based Motorcycle Crash Detection and Reporting Using Deep LearningIRJET Journal
This document discusses developing a vision-based system to detect motorcycle crashes in real-time using deep learning. The researchers created a custom dataset of 398 images containing motorcycle accidents and used YOLOv4 for object detection. YOLOv4 was trained on the dataset and achieved 74% mAP and 60% precision, outperforming Faster R-CNN and YOLOv4-Tiny in accuracy and speed tests. The trained YOLOv4 model was then used to detect accidents in video streams and send alerts when crashes were identified. The system provides a potential real-time solution to detect motorcycle accidents using only vision.
(9) INTERACTION Final event - Recommendations and guidelinesInteraction-FP7
The document discusses recommendations for safer driver interaction with in-vehicle technologies based on research. It addresses methodology, design and engineering improvements, education and awareness efforts, and legislation and enforcement strategies. Recommendations include standardizing system designs, improving feedback and usability, educating drivers and dealers, considering restrictions on use, and integrating technologies into licensing and vehicle safety ratings. The goal is to maximize benefits and minimize risks of these evolving systems.
Ist africa2012 solution supporting building of global earth observation syste...Karel Charvat
The document discusses the EnviroGRIDS @ Black Sea Catchment project, which aims to build capacities in the Black Sea region to use international standards to gather, store, distribute, analyze, visualize, and disseminate environmental information. It does this by building a modern Spatial Data Infrastructure and GeoPortal that will integrate into the Global Earth Observation System of Systems. The GeoPortal allows users to discover, access, and use spatial data and services. It implements various OGC standards and is now part of the GEOSS infrastructure to support environmental monitoring and decision making.
Chapter 3 characteristics of highway componentsFayaz Rashid
This document discusses the key characteristics of drivers, pedestrians, vehicles, and roads which are important considerations for highway design. It covers:
1. Driver characteristics such as visual acuity, reaction time, and how they vary between individuals and can decline with age.
2. Pedestrian characteristics like walking speed and how it differs for those with disabilities.
3. Vehicle characteristics including size, weight, speed, which are used to determine a design vehicle for a road.
4. How all of these human and vehicle factors interact and must be accommodated in road design standards for elements like lane width and sight distances. Understanding the range of users is essential for engineering safe transportation infrastructure.
This document describes the objectives and activities of Work Package 3 (WP3) of the SaferBrain project, which aims to develop innovative guidelines and tools to improve safety for vulnerable road users (VRUs) in Brazil and India. WP3 focuses on defining safety measures and methodologies, developing a GIS-based decision support system (DSS) to identify suitable safety strategies, and programming the DSS software. The DSS is intended to support experts in analyzing VRU accidents, identifying critical safety issues, estimating the benefits of safety countermeasures, and conducting road safety audits and inspections. It incorporates international best practices and research to provide a customized methodology for assessing VRU safety in Brazil and India.
AUTOMATIC DETECTION OF TRAFFIC ACCIDENTS FROM VIDEO USING DEEP LEARNINGIRJET Journal
This document describes a study that developed an automatic, deep learning-based method for detecting traffic accidents from video footage. The proposed method uses a convolutional neural network to extract visual features from video frames. These features are then input to a convolutional LSTM network to identify temporal patterns associated with accident events. The model was trained on public traffic accident datasets and achieved 98% accuracy in detecting accidents under daylight conditions. The method provides timely accident detection without relying on road structure, which could help reduce response times for emergency services.
Driver Dormant Monitoring System to Avert Fatal Accidents Using Image ProcessingIRJET Journal
This document describes a driver drowsiness monitoring system that uses image processing to help prevent accidents. The system uses a Raspberry Pi with Python and OpenCV to detect the driver's face, extract the eye region, and monitor eye closure over time to determine drowsiness levels. If drowsiness is detected, the system activates alert levels that include a buzzer, sprinkler, indicator lights, and ultimately turning off the ignition. It then sends a photo of the drowsy driver to an emergency contact. The system aims to improve road safety by addressing one of the major causes of accidents - driver fatigue and lack of alertness during prolonged driving.
Driver Dormant Monitoring System to Avert Fatal Accidents Using Image ProcessingIRJET Journal
This document describes a driver drowsiness monitoring system that uses image processing to help prevent accidents. The system uses a Raspberry Pi with Python and OpenCV to detect the driver's face, extract the eye region, and monitor eye closure over time to determine drowsiness levels. If drowsiness is detected, the system activates alert levels that include a buzzer, sprinkler, light indicator, and finally turning off the vehicle ignition. An image of the drowsy driver is also emailed to an emergency contact. The system aims to improve road safety by addressing one of the major causes of accidents - driver fatigue.
Roadroid is a system that uses smartphones to continuously monitor road conditions by collecting road roughness data through the built-in vibration sensors in smartphones. This allows road organizations to more frequently and cost-effectively collect road condition data, which enables early warnings of changes or damage and more accurate operational road maintenance management. The collected measurement data is wirelessly transferred to an online mapping server where it can be aggregated, exported, and used by other road management systems. Roadroid provides an efficient, scalable, and cost-effective way for road organizations to monitor and report on road conditions.
INDOOR AND OUTDOOR NAVIGATION ASSISTANCE SYSTEM FOR VISUALLY IMPAIRED PEOPLE ...IRJET Journal
This document describes a proposed system to assist visually impaired individuals using object detection. The system uses YOLO (You Only Look Once) deep learning for fast and reliable object detection in images captured by a webcam in real-time. Detected objects are identified and conveyed to the user via text-to-speech. This allows visually impaired users to navigate indoor and outdoor environments with information about surrounding objects. The proposed system aims to address challenges faced by existing assistive technologies through improved accuracy and real-time performance of object recognition compared to other methods.
The document describes a drowsiness detection and accident avoidance system based on eye blink duration. The system uses computer vision techniques like eye aspect ratio to detect when a driver's blink duration exceeds a threshold, indicating drowsiness. An alarm then sounds to alert the driver. The system was developed to address the leading cause of accidents - driver fatigue. It analyzes eye state transitions from open to closed using techniques like OpenCV, deep learning and convolutional neural networks to accurately assess drowsiness. Hardware, software and module requirements are also outlined.
In the years to come urban areas in the EU face the challenge of making transport sustainable in terms of environment and competitiveness. Cycling is the most energy efficient and environmentally friendly mode of transport. SAFECYCLE looks at how ITS / ICT can help making cycling safer through the use of e-safety applications.
1. SAFEWAY2SCHOOL Project FP7-233967
School Bus
(Stop) Sign
International Institute for
Information Design (IIID),
Stefan Egger
Final Event
13 June, 2012
Örnkoldsvik, Sweden
2. Surrounding traffic information and warning
Goal: In short
International Institute for Information Design
To research and design information
• to effectively warn road users on the fact
that children are on the road,
• taking into account today’s demanding traffic
situation
13 June, 2012 Final Event Örnkoldsvik, Sweden 2
3. Surrounding traffic information and warning
Motive:
International Institute for Information Design
The graphical representation of the sign as currently proposed by
UNECE ITC, based on sign “A, 13 - Children” is – along with all
other signs of the Convention on Road Signs and Signals, Annex 1
– dating back to a time (1968 and way before), where traffic was
less demanding:
• There were far less vehicles,
• which were only capable of low speeds, moving
• on less roads allowing only for much lower velocities than today.
• Traffic was by far less international.
• Information density provided on roads was by no means as
high as today.
13 June, 2012 Final Event Örnkoldsvik, Sweden 3
4. Surrounding traffic information and warning
Solution: To meet the requirements of the
demanding traffic situation of today,
International Institute for Information Design
the visual quality of the sign is raised by a method developed by
IIID in EU FP6 research project SOMS/In-Safety -
• allowing a driver to discriminate (“read”) and understand the
sign from a much greater distance than currently possible
with sign(s) in use
• providing a driver with means to react at greater distance
(earlier) to the signs message, and adjust the driving mode
accordingly (eg. Slow down and watch out, break etc.)
13 June, 2012 Final Event Örnkoldsvik, Sweden 4
5. Methodology, simplified
Collecting, reviewing
& evaluating
Signs, pictograms
International Institute for Information Design
and related information
Processing for
enhanced visual quality
1 MoA
*
* See: From optometry to road saftey – A design process to enhance visual informatio for safety critical situations
http://www.iiid.net/Safeway2SchoolReport.aspx
13 June, 2012 Final Event Örnkoldsvik, Sweden 5
6. 1 Collect, review and evaluate
92 Signs/pictograms Related standards and
from 37 countries regulations
International Institute for Information Design
Evaluation of examples
for most suitable to be
reworked for
• improved visual quality
• updating international
regulations Example found
in Portugal
13 June, 2012 Final Event Örnkoldsvik, Sweden 6
7. 2 Enhancing visual quality
Processing for enhanced visual quality,
International Institute for Information Design
adhering to MoA (Minute-of-Arc)
design method for:
ROAD USE
• long range visibility (plates/signs) for 1 MoA
being seen earlier (= more time for drivers
to react) = safety improvement
• being visible despite of glare
• low resolution use for
LED signs (VMS)
SW2S School
OTHER Bus (Stop) sign
• small scale visbility for
small print/screen use
(maps/in-car navigation)
13 June, 2012 Final Event Örnkoldsvik, Sweden 7
8. 2 Enhancing visual quality cont.
Enhanced symbol (pictogram) and signs
International Institute for Information Design
to be commonly used for faster
recognition VMS
Road signs
ROAD USE
• long range visibility
(plates/signs) for being
seen earlier
• being visible despite of glare
• low resolution use for
LED signs (VMS)
OTHER USE
• small scale visbility for
small print/screen use
(maps/in-car navigation)
13 June, 2012 Final Event Örnkoldsvik, Sweden 8
9. Visual discriminability performance
Simulator Test
(University Stuttgart/Fraunhofer Institute):
Comparison of long distance visibility performance of 4 signs
International Institute for Information Design
(pictograms) – left to right.:
1st: SW2S & Sweden
2nd: Austria
3rd: UNECE ITC (international recommendation of the UN on how
the appearance of the sign should look like)
13 June, 2012 Final Event Örnkoldsvik, Sweden 9
10. Standardisation
Due to lowest performance of UNECE ITC example,
proposal to substitute the sign/symbol in the
Consolidated resolution on Road Traffic (R.E.1). Annex 1,
International Institute for Information Design
Recommendation 2.2. (United Nations, Economic Commission for
Europe, Inland Transport Committee, 1998),
with the sign developed in SW2S
13 June, 2012 Final Event Örnkoldsvik, Sweden 10
11. More in:
SW2S Deliverable D5.5 “Surounding traffic info and
warning visual and audio signs”
Available on
International Institute for Information Design
http://www.iiid.net/Safeway2SchoolReport.aspx
More examples of enhanced visual
information for the road environment to
be found on
http://www.iiid.net/SOMS/Project Report.aspx
(Traffic signs and Typeface „Tern“ for the
Trans- European Road Network, developed
in SOMS/InSafety, EU FP6 Research Projekt
13 June, 2012 Final Event Örnkoldsvik, Sweden 11