Determining Perceived Traffic Sign Dimensions with Multidimensional Scaling

1988 ◽  
Vol 32 (15) ◽  
pp. 928-932
Author(s):  
Cary Robb Jensen ◽  
Loy A. Anderson ◽  
Joe Mullen
Keyword(s):  
Multidimensional Scaling ◽  
Field Research ◽  
Laboratory Studies ◽  
Traffic Sign ◽  
Traffic Signs ◽  
Research Results ◽  
Research Technique

The evaluation of current and potential traffic signs is necessary in order to ensure that the signs are effective. Laboratory studies are an important first step in evaluating current and potential traffic signs in order to minimize the risk and expense associated with field research. This paper describes the application of multidimensional scaling to traffic signs, a method that appears to be well suited for determining perceived traffic sign dimensions. In two studies subjects judged the similarity of all possible pairs of 16 traffic signs. Three interpretable dimensions were found. These dimensions, in order of extraction, were color/content, message form (pictorial vs. verbal), and shape. The validity of this research technique and the limitations of these research results are discussed.

The Traffic Sign Detection Algorithm Based on Region of Interest Extraction and Double Filter

2019 ◽  
Vol 13 ◽  
Author(s):  
Dongxian Yu ◽  
Jiatao Kang ◽  
Zaihui Cao ◽  
Neha Jain
Keyword(s):  
Region Of Interest ◽  
Detection Algorithm ◽  
Light Filter ◽  
Support Vector ◽  
Detection Accuracy ◽  
Traffic Light ◽  
Traffic Sign ◽  
Traffic Signs ◽  
Sign Detection ◽  
Traffic Sign Detection

In order to solve the current traffic sign detection technology due to the interference of various complex factors, it is difficult to effectively carry out the correct detection of traffic signs, and the robustness is weak, a traffic sign detection algorithm based on the region of interest extraction and double filter is designed.First, in order to reduce environmental interference, the input image is preprocessed to enhance the main color of each logo.Secondly, in order to improve the extraction ability Of Regions Of Interest, a Region Of Interest (ROI) detector based on Maximally Stable Extremal Regions (MSER) and Wave Equation (WE) was defined, and candidate Regions were selected through the ROI detector.Then, an effective HOG (Histogram of Oriented Gradient) descriptor is introduced as the detection feature of traffic signs, and SVM (Support Vector Machine) is used to classify them into traffic signs or background.Finally, the context-aware filter and the traffic light filter are used to further identify the false traffic signs and improve the detection accuracy.In the GTSDB database, three kinds of traffic signs, which are indicative, prohibited and dangerous, are tested, and the results show that the proposed algorithm has higher detection accuracy and robustness compared with the current traffic sign recognition technology.

scholarly journals Detecting Change between Urban Road Environments along a Route Based on Static Road Object Occurrences

2021 ◽  
Vol 11 (8) ◽  
pp. 3666
Author(s):  
Zoltán Fazekas ◽  
László Gerencsér ◽  
Péter Gáspár
Keyword(s):  
Change Detection ◽  
Traffic Safety ◽  
Recognition System ◽  
Driver Assistance Systems ◽  
Traffic Sign ◽  
Traffic Signs ◽  
Safety Risk ◽  
Urban Road ◽  
Environment Type ◽  
Cusum Method

For over a decade, urban road environment detection has been a target of intensive research. The topic is relevant for the design and implementation of advanced driver assistance systems. Typically, embedded systems are deployed in these for the operation. The environments can be categorized into road environment-types. Abrupt transitions between these pose a traffic safety risk. Road environment-type transitions along a route manifest themselves also in changes in the distribution of traffic signs and other road objects. Can the placement and the detection of traffic signs be modelled jointly with an easy-to-handle stochastic point process, e.g., an inhomogeneous marked Poisson process? Does this model lend itself for real-time application, e.g., via analysis of a log generated by a traffic sign detection and recognition system? How can the chosen change detector help in mitigating the traffic safety risk? A change detection method frequently used for Poisson processes is the cumulative sum (CUSUM) method. Herein, this method is tailored to the specific stochastic model and tested on realistic logs. The use of several change detectors is also considered. Results indicate that a traffic sign-based road environment-type change detection is feasible, though it is not suitable for an immediate intervention.

scholarly journals Automated Visual Recognizability Evaluation of Traffic Sign Based on 3D LiDAR Point Clouds

2019 ◽  
Vol 11 (12) ◽  
pp. 1453 ◽  
Author(s):  
Shanxin Zhang ◽  
Cheng Wang ◽  
Lili Lin ◽  
Chenglu Wen ◽  
Chenhui Yang ◽  
...  
Keyword(s):  
Traffic Safety ◽  
Laser Scanning ◽  
Large Scale ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Point Clouds ◽  
Traffic Sign ◽  
Traffic Signs ◽  
3D Point Clouds ◽  
Traffic Environment

Maintaining the high visual recognizability of traffic signs for traffic safety is a key matter for road network management. Mobile Laser Scanning (MLS) systems provide efficient way of 3D measurement over large-scale traffic environment. This paper presents a quantitative visual recognizability evaluation method for traffic signs in large-scale traffic environment based on traffic recognition theory and MLS 3D point clouds. We first propose the Visibility Evaluation Model (VEM) to quantitatively describe the visibility of traffic sign from any given viewpoint, then we proposed the concept of visual recognizability field and Traffic Sign Visual Recognizability Evaluation Model (TSVREM) to measure the visual recognizability of a traffic sign. Finally, we present an automatic TSVREM calculation algorithm for MLS 3D point clouds. Experimental results on real MLS 3D point clouds show that the proposed method is feasible and efficient.

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

2021 ◽  
pp. 215-219
Author(s):  
Manjiri Bichkar ◽  
Suyasha Bobhate ◽  
Prof. Sonal Chaudhari
Keyword(s):  
Classification Model ◽  
Traffic Sign Recognition ◽  
Traffic Sign ◽  
Traffic Signs ◽  
Electric Cars ◽  
Blob Detection ◽  
Sign Recognition ◽  
Testing Dataset ◽  
Self Driving Cars ◽  
Traffic Sign Classification

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 building classification model. Therefore this system helps electric cars or self driving cars to recognise the traffic signs efficiently and correctly. The system involves two parts, detection of traffic signs from the environment and classification based on CNN thereby recognising the traffic sign. The classification involves building a CNN model of different filters of dimensions 3 × 3, 5 × 5, 9 × 9, 13 × 13, 15 × 15,19 × 19, 23 × 23, 25 × 25 and 31 ×31 from which the most efficient filter is chosen for further classifying the image detected. The detection involves detecting the traffic sign using YOLO v3-v4 and BLOB detection. Transfer Learning is used for using the trained model for detecting Indian traffic sign images.

scholarly journals Automatic mapping of traffic signs

2021 ◽  
Vol 4 ◽  
pp. 1-6
Author(s):  
Bence Dusek ◽  
Mátyás Gede
Keyword(s):  
Inertial Measurement Unit ◽  
Local Coordinate System ◽  
Point Of View ◽  
Measurement Unit ◽  
Absolute Position ◽  
Traffic Sign ◽  
Traffic Signs ◽  
Automatic Mapping ◽  
The Government ◽  
Cost Efficient

Abstract. Nowadays, people easily can get into their cars and drive hundreds of kilometers in a few hours, but for that to work efficiently a system of rules must be applied and those rules have to be communicated transparently. This is why traffic signs are an influential part of our lives and every kind of information about each is helping the government, the community, and the drivers. This paper presents a novel and cost-efficient method for acquiring information on traffic signs, such like the category and the 3D position. The former can be gained using camera images and a Convolutional Neural Network model. The latter can be obtained using positioning devices.With the help of a GNSS device the absolute position of the vehicle can be learned and based on that a local coordinate system can be established. From the vehicle’s point of view the coordinates and the orientation of the traffic sign can be acquired by applying a stereo camera and an IMU (Inertial Measurement Unit) sensor. Then, with the help of these attributes a large database can be built, maintained, and updated. This project displays that adequately precise data can easily be accessible using a few cheap devices and sensors.

scholarly journals ROYALTY OF INDONESIAN SONGS COPYRIGHTS AT YAYASAN KARYA CIPTA INDONESIA ISSUED BY LAW NUMBER 19 OF 2002 ON COPYRIGHTS

2018 ◽  
Vol 3 (1) ◽  
pp. 25
Author(s):  
Luh Putu Sudini
Keyword(s):  
Copyright Protection ◽  
Field Research ◽  
Secondary Data ◽  
Primary Data ◽  
Director General ◽  
Selling Price ◽  
Copyright Holder ◽  
Power Of Attorney ◽  
Research Results ◽  
The Government

This article aims at describing the role of Yayasan Karya Cipta Indonesia (YKCI) in copyright protection in Indonesia and the mechanism of royalty payment on Indonesian songs to the YKCI. The approach used in this study is normative approach as this study is conducted on secondary, primary, and tertiary legal materials, such as books, legal journals, and expert (secondary data) research results; its main legislation is Law no. 19 of 2002 on Copyright (primary data); English and Indonesia dictionaries and tertiary law which is the result of library research, supported by legal materials in the form of documents from field research results. From the collected legal materials, analysis in the method of the qualitative descriptive was conducted. The results indicated that YKCI's role as an administrator body in copyright protection is to collect royalties from parties that use songs or music commercially and help dispute resolution between creators, users or record producers of songs or music creations. Furthermore, the mechanism of royalty payments to YKCI shall be initiated by the authorization of YKCI by the creator or the copyright holder of the song, so on the basis of such power of attorney, YKCI exercises the collection or withdrawal of royalties by a percentage mechanism from the dealer's selling price through a permit saving per song at a rate for recording into a cassette, CD, VCD, and other media. Law Number 19 of 2002 on Copyright should be accompanied by the willingness and ability of the apparatus in enforcing it so that what to be achieved with the Act can be obtained. In addition, it is recommended that the government immediately issue provisions on the roles, duties and functions of the Copyright Council as well as the organic rules that explain the authority of YKCI which may be the appointment of the Director-General of Intellectual Property Rights (IPR) as endorsement of a collective society in order to attract royalties. The government also needs to make a standard contract of licensing agreement between the Copyright of Songs and Music in the event of announcement. In addition, YKCI also needs to be open including to the power of attorney (Creator of the song) so that the Creator can know the frequency of their song announcement and the large royalty that must be obtained.

scholarly journals Research on Mid-term Review System of PPP Project

2021 ◽  
Vol 236 ◽  
pp. 04023
Author(s):  
Jinchan Liu ◽  
Yubo Guo ◽  
Chuan Chen
Keyword(s):  
Life Cycle ◽  
Water Supply ◽  
Field Research ◽  
Sichuan Province ◽  
Review System ◽  
Rural Water Supply ◽  
Research Results ◽  
Evaluation Procedures ◽  
Rural Water

The mid-term review is a necessary window for the PPP project to move forward objectively, and it is also a tool to adjust the expected goals of all parties to the project. This paper built a mid-term review system for PPP projects based on the whole-of-life cycle, studied the objectives, content and evaluation procedures of the mid-term review of PPP projects, and took the urban and rural water supply and drainage integrated PPP project in Mianzhu city, Sichuan Province as the case for field research and interviews, to verify the feasibility of the review system. The research results have a certain guiding role for the mid-term review of PPP projects.

Traffic-Signs Recognition System Based on FCM and Content-Based Image Retrieval

2012 ◽  
pp. 60-72
Author(s):  
Yue Li ◽  
Wei Wang
Keyword(s):  
Image Retrieval ◽  
Recognition System ◽  
Emerging Technology ◽  
Content Based Image Retrieval ◽  
Segmentation Method ◽  
Traffic Sign ◽  
Traffic Signs ◽  
Artificial Intelligent ◽  
Traffic System ◽  
Two Phases

Artificial intelligent (AI) driving is an emerging technology, freeing the driver from driving. Some techniques for automatically driving have been developed; however, most can only recognize the traffic signs in particular groups, such as triangle signs for warning, circle signs for prohibition, and so forth, but cannot tell the exact meaning of every sign. In this paper, a framework for a traffic system recognition system is proposed. This system consists of two phases. The segmentation method, fuzzy c-means (FCM), is used to detect the traffic sign, whereas the Content-Based Image Retrieval (CBIR) method is used to match traffic signs to those in a database to find the exact meaning of every detected sign.

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