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Journal articles on the topic 'Road markings'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Wu, Junjie, Wen Liu, and Yoshihisa Maruyama. "Street View Image-Based Road Marking Inspection System Using Computer Vision and Deep Learning Techniques." Sensors 24, no. 23 (2024): 7724. https://doi.org/10.3390/s24237724.

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Road markings are vital to the infrastructure of roads, conveying extensive guidance and information to drivers and autonomous vehicles. However, road markings will inevitably wear out over time and impact traffic safety. At the same time, the inspection and maintenance of road markings is an enormous burden on human and economic resources. Considering this, we propose a road marking inspection system using computer vision and deep learning techniques with the aid of street view images captured by a regular digital camera mounted on a vehicle. The damage ratio of road markings was measured acc

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Babić, Dario, Anđelko Ščukanec, Darko Babić, and Mario Fiolić. "Model for Predicting Road Markings Service Life." Baltic Journal of Road and Bridge Engineering 14, no. 3 (2019): 341–59. http://dx.doi.org/10.7250/bjrbe.2019-14.447.

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Road markings provide drivers with the information necessary for their comfortable and safe journey. To achieve that, they must be visible in all driving conditions, which means that they have to be renewed and maintained in a timely manner. This research aims to develop a model for predicting the service life of paint, thermoplastic and agglomerate cold plastic road markings. The research comprised 5218.00 km (115 roads) of solvent-borne paint road markings, 579.00 km (30 roads) of thermoplastic and 4979.00 km (30 roads) of agglomerate cold plastic road markings. The retroreflectivity of road

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Storsæter, Ane Dalsnes, Kelly Pitera, and Edward McCormack. "Camera-Based Lane Detection—Can Yellow Road Markings Facilitate Automated Driving in Snow?" Vehicles 3, no. 4 (2021): 661–90. http://dx.doi.org/10.3390/vehicles3040040.

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Road markings are beneficial to human drivers, advanced driver assistance systems (ADAS), and automated driving systems (ADS); on the contrary, snow coverage on roads poses a challenge to all three of these groups with respect to lane detection, as white road markings are difficult to distinguish from snow. Indeed, yellow road markings provide a visual contrast to snow that can increase a human drivers’ visibility. Yet, in spite of this fact, yellow road markings are becoming increasingly rare in Europe due to the high costs of painting and maintaining two road marking colors. More importantly

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Storsæter, Ane Dalsnes, Kelly Pitera, and Edward McCormack. "Camera-Based Lane Detection—Can Yellow Road Markings Facilitate Automated Driving in Snow?" Vehicles 3, no. 4 (2021): 661–90. http://dx.doi.org/10.3390/vehicles3040040.

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Road markings are beneficial to human drivers, advanced driver assistance systems (ADAS), and automated driving systems (ADS); on the contrary, snow coverage on roads poses a challenge to all three of these groups with respect to lane detection, as white road markings are difficult to distinguish from snow. Indeed, yellow road markings provide a visual contrast to snow that can increase a human drivers’ visibility. Yet, in spite of this fact, yellow road markings are becoming increasingly rare in Europe due to the high costs of painting and maintaining two road marking colors. More importantly

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Korchevska, Alina, Denis Shpin, Liudmila Nahrebelna, and Tetiana Kostrulova. "Use of regulatory documents regarding materials for horizontal road markings." Dorogi i mosti 2024, no. 30 (2024): 370–79. http://dx.doi.org/10.36100/dorogimosti2024.30.370.

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Introduction. Horizontal road markings are a crucial element of road safety, traffic organization and flow management. They also enhance the road's capacity by more than 20 % and reduce the number of road traffic accidents. The modern development of the road sector is characterized by increasing demands on road markings. Today, the choice of materials for road markings is vast and includes: paints, cold and hot-applied plastics, polymer tapes, pre-formed products, retroreflective glass microbeads, and more. Each material has a unique set of properties related to durability, retroreflectivity,

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Setyawan P., Arkham, Tamrin Mallawangeng, and Nurhadijah Yunianti. "Evaluasi Rambu Lalu Lintas Dan Marka Jalan Ruas Veteran Utara Dan Veteran Selatan." Jurnal Penelitian Teknik Sipil Konsolidasi 1, no. 3 (2023): 226–31. http://dx.doi.org/10.56326/jptsk.v1i3.1605.

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The empirical phenomenon of transportation problems, mainly on the Veteran Utara – Veteran Selatan section, is traffic and lack of driver discipline, causing traffic circulation disturbances, especially on the Veteran Utara – Veteran Selatan road section, which is irregular on a regular basis for road users to the presence of signs and roads. The aim of the research is to determine the placement and need for signs and road markings in North Veteran and South Veteran and to determine the influence of the placement of road signs and markings on North Veteran and South Veteran roads.As for the re

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Kang, Seokchan, Jeongwon Lee, and Jiyeong Lee. "Developing a Method to Automatically Extract Road Boundary and Linear Road Markings from a Mobile Mapping System Point Cloud Using Oriented Bounding Box Collision-Detection Techniques." Remote Sensing 15, no. 19 (2023): 4656. http://dx.doi.org/10.3390/rs15194656.

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Advancements in data-acquisition technology have led to the increasing demand for high-precision road data for autonomous driving. Specifically, road boundaries and linear road markings, like edge and lane markings, provide fundamental guidance for various applications. Unfortunately, their extraction usually requires labor-intensive manual work, and the automatic extraction, which can be applied universally for diverse curved road types, presents a challenge. Given this context, this study proposes a method to automatically extract road boundaries and linear road markings by applying an orien

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Korchevska, Alina, Denis Shpin, Liudmila Nahrebelna, and Tetiana Kostrulova. "Use of regulatory documents regarding materials for horizontal road markings." Dorogi i mosti 2025, no. 31 (2025): 275–81. https://doi.org/10.36100/dorogimosti2025.31.275.

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Introduction. Horizontal road marking is an important element of road safety, which provides orientation of road users on the road. Road markings can increase the capacity of the road by more than 20 % and reduce the number of road accidents. Problem. Road markings must remain clearly visible both during the day and at night, and in adverse weather conditions, such as rain or fog. In satisfactory condition, markings usually provide adequate nighttime visibility on dry surfaces, but their effectiveness is significantly reduce. To improve the light reflection in the dark, microspheres of retrore

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Wu, Wenxiu, Xiaoyong Zou, Jing Liu, et al. "Research on the Anti-Fouling Properties of Double-Coated Road Markings." E3S Web of Conferences 512 (2024): 03037. http://dx.doi.org/10.1051/e3sconf/202451203037.

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The article analyses the influencing factors of the anti-fouling properties of road traffic markings and researches a double-coated, anti-fouling road marking with good heat stability and high coating density. The anti-fouling performance of the road marking during its use period was experimentally analysed using SPSS software. The results indicate that the anti-fouling performance of the double-coated road marking is significantly better than that of thermoplastic markings and two-component markings, and it has a promising prospect for widespread application.

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Pan, Y., B. Yang, S. Li, H. Yang, Z. Dong, and X. Yang. "AUTOMATIC ROAD MARKINGS EXTRACTION, CLASSIFICATION AND VECTORIZATION FROM MOBILE LASER SCANNING DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 (June 5, 2019): 1089–96. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w13-1089-2019.

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<p><strong>Abstract.</strong> To meet the demands of various applications such as high definition navigation map production for unmanned vehicles and road reconstruction and expansion engineering, this paper proposes an effective and efficient approach to automatically extract, classify and vectorize road markings from Mobile Laser Scanning (MLS) point clouds. Firstly, the MLS point cloud is segmented to ground and non-ground points. Secondly, several geo-reference images are generated and further used to detect road markings pixels under an image processing scheme. Thirdly,

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Chou, Chia-Pei, Kin-Wai Leong, Ai-Chin Chen, and Yao-Xuan Lee. "Road marking retroreflectivity study via a visual algorithm." International Journal of Pavement Research and Technology 13, no. 6 (2020): 614–20. http://dx.doi.org/10.1007/s42947-020-6001-x.

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AbstractThe retroreflectivity (Rl) of road markings is important and should be inspected and maintained throughout their service life. The specifications are provided by European nations, the United States, and many other countries. Although acceptance tests ensure the good Rl quality of newly placed road markings, the RL values of all in-service road markings are rather difficult to inspect by using currently available devices. This study, therefore, aims to determine the relationship between Rl and corresponding image brightness of yellow road markings to evaluate their visibility by analyzi

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Ye, Chengming, Hongfu Li, Ruilong Wei, et al. "Double Adaptive Intensity-Threshold Method for Uneven Lidar Data to Extract Road Markings." Photogrammetric Engineering & Remote Sensing 87, no. 9 (2021): 639–48. http://dx.doi.org/10.14358/pers.20-00099.

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Due to the large volume and high redundancy of point clouds, there are many dilemmas in road-marking extraction algorithms, especially from uneven lidar point clouds. To extract road markings efficiently, this study presents a novel method for handling the uneven density distribution of point clouds and the high reflection intensity of road markings. The method first segments the point-cloud data into blocks perpendicular to the vehicle trajectory. Then it applies the double adaptive intensity-threshold method to extract road markings from road surfaces. Finally, it performs an adaptive spatia

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KEMSLEY, JYLLIAN. "road markings." Chemical & Engineering News 88, no. 36 (2010): 67. http://dx.doi.org/10.1021/cen-v088n036.p067.

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Chun, Chanjun, Taehee Lee, Sungil Kwon, and Seung-Ki Ryu. "Classification and Segmentation of Longitudinal Road Marking Using Convolutional Neural Networks for Dynamic Retroreflection Estimation." Sensors 20, no. 19 (2020): 5560. http://dx.doi.org/10.3390/s20195560.

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Road markings constitute one of the most important elements of the road. Moreover, they are managed according to specific standards, including a criterion for a luminous contrast, which can be referred to as retroreflection. Retroreflection can be used to measure the reflection properties of road markings or other road facilities. It is essential to manage retroreflection in order to improve road safety and sustainability. In this study, we propose a dynamic retroreflection estimation method for longitudinal road markings, which employs a luminance camera and convolutional neural networks (CNN

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Li, Fu Jie, Xin Ye Cao, Shuai Heng Liu, and Lei Lei He. "Transition from Reflective to Energy-Storing Self-Illumination in Road Markings: A Review." Advanced Materials Research 1176 (April 28, 2023): 63–76. http://dx.doi.org/10.4028/p-v6918o.

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Road markings regulate and direct traffic by conveying specific information. It is of great significance to develop new road marking materials and improve the visibility of marking materials for improving traffic efficiency and ensuring traffic safety. This paper summarized the development status of various reflective road markings at home and abroad. In addition, the energy storage luminescent fluorescent/phosphor marking lines in road marking was emphatically generalized to evaluate the advantages and disadvantages of different improvement methods. Overall, strontium aluminate doped with Eu2

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Burghardt, Tomasz E., Anton Pashkevich, and Jacek Bartusiak. "Solution for a two-year renewal cycle of structured road markings." Roads and Bridges - Drogi i Mosty 20, no. 1 (2021): 5–18. http://dx.doi.org/10.7409/rabdim.021.001.

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Road markings are a necessary safety feature that guides drivers. For visibility in darkness, when accident risk and severity are the highest, road markings must be reflectorised with glass beads to be visible when vehicle headlights shine on them. Renewal of thick-layer structured road markings that have lost retroreflectivity but have retained the structure mostly intact is performed through application of thin-layer paint coatings. Based on a field experiment, it was demonstrated that selection of premium glass beads profoundly extends the durability of the renewed markings, which could be

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Wu, Junjie, Wen Liu, and Yoshihisa Maruyama. "Automated Road-Marking Segmentation via a Multiscale Attention-Based Dilated Convolutional Neural Network Using the Road Marking Dataset." Remote Sensing 14, no. 18 (2022): 4508. http://dx.doi.org/10.3390/rs14184508.

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Road markings, including road lanes and symbolic road markings, can convey abundant guidance information to autonomous driving cars. However, recent works have paid less attention to the recognition of symbolic road markings compared with road lanes. In this study, a road-marking-segmentation dataset named the RMD (Road Marking Dataset) is introduced to compensate for the lack of datasets and the limitations of the existing datasets. Furthermore, we propose a novel multiscale attention-based dilated convolutional neural network (MSA-DCNN) to tackle the proposed RMD. The proposed method employs

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Azmi, Nur Hanisah, Ali Sophian, and Ali Aryo Bawono. "Deep-learning-based detection of missing road lane markings using YOLOv5 algorithm." IOP Conference Series: Materials Science and Engineering 1244, no. 1 (2022): 012021. http://dx.doi.org/10.1088/1757-899x/1244/1/012021.

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Abstract Road lane markings are critical for ensuring road user safety. To improve their safety, there are even different types of road lane markings, such as single solid lines, double solid lines, dashed single line etc. Their colors generally are white and yellow. This road lane markings mainly used to provide guidance and information for road user to comply with the rule of the road. Unfortunately, these markings get worn out with time and may even disappear. In order to prevent this from happening, regular inspection and maintenance need to be conducted. Manual inspection is tedious, slow

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Elias, Wafa, Moamar Abu Ahmad, and Vladimir Frid. "Critical Insights into White and Yellow Light Marks on Various Asphalt Pavements: A Comparative Analysis." Buildings 14, no. 8 (2024): 2525. http://dx.doi.org/10.3390/buildings14082525.

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The traffic safety problem is of crucial importance worldwide, and one way to enhance it is by using high-quality road markings. While much attention has been paid to retroreflection standards and road marking visibility, less focus has been given to the effect of asphalt mixtures. Addressing this knowledge gap is essential for achieving comprehensive improvements in road safety. The present study investigates the impact of three asphalt mixtures on the retroreflectivity of road pavement surfaces. The findings indicate that white road markings exhibit varying retroreflectivity values depending

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Golubenko, V. V., A. A. Aleksandrov, and V. V. Sirotyuk. "ANALYSIS OF PREDICTION METHODS FOR THE FUNCTIONAL DURABILITY OF ROAD MARKINGS." Vestnik SibADI 15, no. 4 (2018): 574–87. http://dx.doi.org/10.26518/2071-7296-2018-4-574-587.

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Introduction. The actuality of the research is emphasized in the Strategy of proclaiming the desire for zero mortality on the country’s roads. Increasing the functional durability (the service life period) of horizontal road markings is an effective and cheap way to organize the movement of vehicles and pedestrians, which could reduce the number of accidents by 15-30%.Methods. The detailed factor analysis, influenced on the functional durability of the horizontal road markings and on the durability forecasting methods, is made by the authors.Results. The authors have established the main facto

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Bwire, Hanniabl, and Joseph K. Mnkeni. "Auditing of Traffic Signs and Road Markings in Dar es Salaam City." Tanzania Journal of Engineering and Technology 32, no. 1 (2009): 35–53. http://dx.doi.org/10.52339/tjet.v32i1.442.

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This study examines the efficacy of the traffic signs and road markings in Dar es Salaam City. The studyfocuses on the availability and conditions of traffic signs and road markings in some selected roads in the city.Auditing of traffic signs and road markings is carried out as one of the means of promoting road safety andimproving road capacity in the city. The auditing procedure involved field studies through the use of trafficsigns/markings checklists and ranking of road stretches according to the availability and conditions of trafficsigns observed for improvement prioritization in case of

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Dewi, Christine, Rung-Ching Chen, Yong-Cun Zhuang, and Henoch Juli Christanto. "Yolov5 Series Algorithm for Road Marking Sign Identification." Big Data and Cognitive Computing 6, no. 4 (2022): 149. http://dx.doi.org/10.3390/bdcc6040149.

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Road markings and signs provide vehicles and pedestrians with essential information that assists them to follow the traffic regulations. Road surface markings include pedestrian crossings, directional arrows, zebra crossings, speed limit signs, other similar signs and text, and so on, which are usually painted directly onto the road surface. Road markings fulfill a variety of important functions, such as alerting drivers to the potentially hazardous road section, directing traffic, prohibiting certain actions, and slowing down. This research paper provides a summary of the Yolov5 algorithm ser

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Zhao, Luhua, Haonan Ding, Junjing Sun, et al. "Prediction of Service Life of Thermoplastic Road Markings on Expressways." Sustainability 15, no. 21 (2023): 15237. http://dx.doi.org/10.3390/su152115237.

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Currently, historical data and on-site surveys—particularly in the context of China—are heavily relied upon to determine the best time to maintain expressway road markings. This study aims to determine what influences the service life of thermoplastic road markings on expressways in Shandong Province, China, while considering both those motorways’ unique characteristics and the local environment. Additionally, a scientific evaluation of the road markings’ retroreflective coefficient’s decay pattern will be undertaken. We collected the retroreflective data for twelve consecutive months regardin

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Storsæter, Ane Dalsnes, Kelly Pitera, and Edward McCormack. "Using ADAS to Future-Proof Roads—Comparison of Fog Line Detection from an In-Vehicle Camera and Mobile Retroreflectometer." Sensors 21, no. 5 (2021): 1737. http://dx.doi.org/10.3390/s21051737.

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Pavement markings are used to convey positioning information to both humans and automated driving systems. As automated driving is increasingly being adopted to support safety, it is important to understand how successfully sensor systems can interpret these markings. In this effort, an in-vehicle lane departure warning system was compared to data collected simultaneously from an externally mounted mobile retroreflectometer. The test, performed over 200 km of driving on three different routes in variable lighting conditions and road classes found that, depending on conditions, the retroreflect

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Kim, Jin Gon, Dong Yeob Han, Ki Yun Yu, Yong Il Kim, and Sung Mo Rhee. "Efficient extraction of road information for car navigation applications using road pavement markings obtained from aerial images." Canadian Journal of Civil Engineering 33, no. 10 (2006): 1320–31. http://dx.doi.org/10.1139/l06-069.

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The efficient extraction of road information is increasingly important with the rapid growth of road-related services, such as car navigation systems, telematics, and location-based services. Conventional methods of creating and updating road information are expensive and time consuming. Therefore, a set of processes is required that collects the same information more efficiently. We propose a new method for collecting road information in complex urban areas from road pavement markings located on aerial images. This information includes lane and symbol markings that guide direction; the geomet

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Dewi, Christine, Rung-Ching Chen, Yong-Cun Zhuang, Xiaoyi Jiang, and Hui Yu. "Recognizing Road Surface Traffic Signs Based on Yolo Models Considering Image Flips." Big Data and Cognitive Computing 7, no. 1 (2023): 54. http://dx.doi.org/10.3390/bdcc7010054.

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In recent years, there have been significant advances in deep learning and road marking recognition due to machine learning and artificial intelligence. Despite significant progress, it often relies heavily on unrepresentative datasets and limited situations. Drivers and advanced driver assistance systems rely on road markings to help them better understand their environment on the street. Road markings are signs and texts painted on the road surface, including directional arrows, pedestrian crossings, speed limit signs, zebra crossings, and other equivalent signs and texts. Pavement markings

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Vasiliauskas, Ignas, and Audrius Vaitkus. "STUDY OF ROAD AND STREET HORIZONTAL MARKING REFLECTIVITY." Mokslas - Lietuvos ateitis 12 (October 1, 2020): 1–5. http://dx.doi.org/10.3846/mla.2020.13069.

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The article describes the change in the reflection of the horizontal sign examined in the scientific work taking into account the factors of road maintenance and traffic intensity. Methods applied in accordance with the standards in force in the European Union. In order to carry out the study in a smooth way, the scientific work analyzes the horizontal amount of road marking materials, types of markings, the change of reflection in the main traffic conditions. The current legal regulation of Lithuania and other European countries, the USA is also reviewed. “The research work also develops the

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Bazhynov, Olexiy, Mikhail Kravtsov, Grigory Taran, Dmytro Kudin, and Yevhen Haiek. "Plasmochemical air cleaning system in vehicle cabin." Bulletin of Kharkov National Automobile and Highway University, no. 98 (November 29, 2022): 144. http://dx.doi.org/10.30977/bul.2219-5548.2022.98.0.144.

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Problem. Currently, the problem of energy independence is one of the most urgent. Consequently, there is a significant need for alternative sources of power. Along with this, throughout the history of human development, the issues of roads and their quality have been very topical and relevant. It is especially true for Ukraine. With the development of science and technology, these issues are expanded by functionality of roads, their safety both for drivers and for other road users and the ability to perform several functions simultaneously, for example, to provide transport traffic and generat

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Nurmuhametov, R. N., L. V. Volkova, N. I. Kunavin, and V. G. Klimenko. "Application of luminescent materials for road signs and road markings." Izvestiya MGTU MAMI 1, no. 2 (2007): 199–203. http://dx.doi.org/10.17816/2074-0530-69718.

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The composite materials based on polyepoxy containing various luminophors are obtained. Such compositions exceed in brightness the polymer marking materials with bloomless ingridience at the expense of the energy transformation of ultraviolet and short-wave visible radiation in the long-wavelength (green-yellow or red) glow. The paper shows the prospects of application of composite materials for fluorescent composite materials for highways markings and road signs.

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NIE, YIMING, BIN DAI, XIANGJING AN, ZHENPING SUN, TAO WU, and HANGEN HE. "FAST LANE DETECTION USING DIRECTION KERNEL FUNCTION." International Journal of Wavelets, Multiresolution and Information Processing 10, no. 02 (2012): 1250017. http://dx.doi.org/10.1142/s0219691312500178.

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The lane information is essential to the highway intelligent vehicle applications. The direct description of the lanes is lane markings. Many vision methods have been proposed for lane markings detection. But in practice there are some problems to be solved by previous lane tracking systems such as shadows on the road, lighting changes, characters on the road and discontinuous changes in road types. Direction kernel function is proposed for robust detection of the lanes. This method focuses on selecting points on the markings edge by classification. During the classifying, the vanishing point

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Merkulov, V. V., G. A. Ulyeva, G. E. Akhmetova, D. A. Yakovleva, and I. E. Volokitina. "CHOICE RATIONALE OF MATERIALS FOR ROAD MARKING IN ORDER TO DEVELOP ITS PRODUCTION TECHNOLOGY." Eurasian Physical Technical Journal 22, no. 1 (51) (2025): 83–92. https://doi.org/10.31489/2025n1/83-92.

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The article is devoted to the study of coating for road markings. Because road marking coatings are highly weatherproof, resistant to temperature extremes, moisture resistance, and good anti-corrosion properties, they can be used to protect exposed steel structures, but their main purpose is to apply road markings. When choosing the type of materials for marking, it is important to take into account their technical characteristics. It is very important that the markings are clearly visible at any time of the day. During the day, visibility is affected by the size and brightness of the markup.

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Kang, Kyubyung, Donghui Chen, Cheng Peng, Dan Koo, Taewook Kang, and Jonghoon Kim. "Development of an Automated Visibility Analysis Framework for Pavement Markings Based on the Deep Learning Approach." Remote Sensing 12, no. 22 (2020): 3837. http://dx.doi.org/10.3390/rs12223837.

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Pavement markings play a critical role in reducing crashes and improving safety on public roads. As road pavements age, maintenance work for safety purposes becomes critical. However, inspecting all pavement markings at the right time is very challenging due to the lack of available human resources. This study was conducted to develop an automated condition analysis framework for pavement markings using machine learning technology. The proposed framework consists of three modules: a data processing module, a pavement marking detection module, and a visibility analysis module. The framework was

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Lagahit, Miguel Luis R., and Masashi Matsuoka. "Focal Combo Loss for Improved Road Marking Extraction of Sparse Mobile LiDAR Scanning Point Cloud-Derived Images Using Convolutional Neural Networks." Remote Sensing 15, no. 3 (2023): 597. http://dx.doi.org/10.3390/rs15030597.

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Road markings are reflective features on roads that provide important information for safe and smooth driving. With the rise of autonomous vehicles (AV), it is necessary to represent them digitally, such as in high-definition (HD) maps generated by mobile mapping systems (MMSs). Unfortunately, MMSs are expensive, paving the way for the use of low-cost alternatives such as low-cost light detection and ranging (LiDAR) sensors. However, low-cost LiDAR sensors produce sparser point clouds than their survey-grade counterparts. This significantly reduces the capabilities of existing deep learning te

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Syara, Elfiyusriningsi. "Evaluasi Kelengkapan Rambu Lalu Lintas dan Marka Jalan terhadap Tingkat Keselamatan Lalu Lintas di Kota Sorong." Syntax Literate ; Jurnal Ilmiah Indonesia 10, no. 3 (2025): 3253–59. https://doi.org/10.36418/syntax-literate.v10i3.57935.

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Sorong City is a growing urban center in West Papua Province. This growth is directly proportional to the increasing number of motorized vehicles and the increasing mobility of the population. However, traffic safety is a major concern amidst this development. Traffic signs and road markings have a crucial function in regulating traffic flow and reducing the risk of accidents. However, the completeness, availability, and condition of road signs and markings in Sorong City are not fully understood. Therefore, it is important to evaluate the completeness of road signs and markings and their impa

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Kozłowska, Małgorzata Klaudia. "Consistency and certainty of the road marking system as a subject of protection based on the offence law. Analysis of the characteristics of the offence from article 85 § 1 of offence code." Transportation Overview - Przeglad Komunikacyjny 2017, no. 1 (2017): 17–23. http://dx.doi.org/10.35117/a_eng_17_01_03.

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Nowadays when the road infrastructure rapidly expands as well as the traffic, the correct road markings are of a vital importance in ensuring safety and efficiency of this traffic. Negligible number of road incidents caused by incorrect road markings results in treating quality and certainty of those markings as being of less importance. Thus, such an important issue is to ensure effective, criminal law protection of the legal interests which is a stable and reliable system of road markings. Polish legislator adopted as a subject of individual protection on the basis of code of offence inviola

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Babić, Darko, Dario Babić, Mario Fiolić, Arno Eichberger, and Zoltan Ferenc Magosi. "Impact of Road Marking Retroreflectivity on Machine Vision in Dry Conditions: On-Road Test." Sensors 22, no. 4 (2022): 1303. http://dx.doi.org/10.3390/s22041303.

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(1) Background: Due to its high safety potential, one of the most common ADAS technologies is the lane support system (LSS). The main purpose of LSS is to prevent road accidents caused by road departure or entrance in the lane of other vehicles. Such accidents are especially common on rural roads during nighttime. In order for LSS to function properly, road markings should be properly maintained and have an adequate level of visibility. During nighttime, the visibility of road markings is determined by their retroreflectivity. The aim of this study is to investigate how road markings’ retroref

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Ma, H., Z. Pei, Z. Wei, and R. Zhong. "AUTOMATIC EXTRACTION OF ROAD MARKINGS FROM MOBILE LASER SCANNING DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 13, 2017): 825–30. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-825-2017.

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Road markings as critical feature in high-defination maps, which are Advanced Driver Assistance System (ADAS) and self-driving technology required, have important functions in providing guidance and information to moving cars. Mobile laser scanning (MLS) system is an effective way to obtain the 3D information of the road surface, including road markings, at highway speeds and at less than traditional survey costs. This paper presents a novel method to automatically extract road markings from MLS point clouds. Ground points are first filtered from raw input point clouds using neighborhood eleva

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Katzorke, Nils, Lisa-Marie Langwaldt, and Lara Schunggart. "Temporary Road Marking Paint for Vehicle Perception Tests." Applied Sciences 14, no. 16 (2024): 7362. http://dx.doi.org/10.3390/app14167362.

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In order to test camera- and LiDAR-based perception of road markings for automated driving, vehicle developers have started to utilize concepts for the agile alteration of road marking patterns on proving grounds. Road marking materials commonly used within this concept are different types of tape that can easily be applied and removed on asphalt and concrete. Due to the elasticity of tape, it cannot be used efficiently for small radii, symbols, lettering, and specific corner shapes (e.g., for parking slots). These road marking patterns are common in urban environments. With the growing capabi

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Babić, Darko, Dario Babić, Mario Fiolic, and Marija Ferko. "Road Markings and Signs in Road Safety." Encyclopedia 2, no. 4 (2022): 1738–52. http://dx.doi.org/10.3390/encyclopedia2040119.

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Due to the dynamic nature and complexity of road traffic, road safety is one of the most demanding social challenges. Therefore, contemporary road safety strategies incorporate a multidisciplinary and comprehensive approaches to address this problem and improve the safety of each individual element, i.e., the human, vehicle, and road. Traffic control devices are an important part of road infrastructure, among which road markings and road signs play a significant role. In general, road markings and signs represent basic means of communication between the road authorities and road users and, as

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Yang, Ronghao, Qitao Li, Junxiang Tan, Shaoda Li, and Xinyu Chen. "Accurate Road Marking Detection from Noisy Point Clouds Acquired by Low-Cost Mobile LiDAR Systems." ISPRS International Journal of Geo-Information 9, no. 10 (2020): 608. http://dx.doi.org/10.3390/ijgi9100608.

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Road markings that provide instructions for unmanned driving are important elements in high-precision maps. In road information collection technology, multi-beam mobile LiDAR scanning (MLS) is currently adopted instead of traditional mono-beam LiDAR scanning because of the advantages of low cost and multiple fields of view for multi-beam laser scanners; however, the intensity information scanned by multi-beam systems is noisy and current methods designed for road marking detection from mono-beam point clouds are of low accuracy. This paper presents an accurate algorithm for detecting road mark

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Liu, Tao, Wenhao Yao, Rui He, and Xiamang Wang. "The influence of vehicle rolling on the retroreflective coefficient of hot melt markings." Vibroengineering Procedia 50 (September 21, 2023): 200–205. http://dx.doi.org/10.21595/vp.2023.23437.

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In the service life of traffic markings, the visibility of the markings can be significantly impacted due to continuous rolling by vehicles. This study aims to investigate the change of retroreflective coefficient of traffic markings at different positions on the road after being rolled by vehicles. A two-month follow-up study was conducted on a specific section of the road, focusing on the sideline and middle line of the lane. The retroreflective coefficient instrument was utilized to collect data on the retroreflective coefficient of the markings. Results revealed that the middle line, due t

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Zhang, Fangzhi, Yue Xie, Xiaokang Zhao, et al. "Aluminate Long Afterglow Luminescent Materials in Road Marking Field Research Progress and Development: A Review." Buildings 14, no. 7 (2024): 2152. http://dx.doi.org/10.3390/buildings14072152.

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This paper reviews the research progress and development of aluminate long afterglow luminescent materials in the field of road marking, especially the study of rare earth ion-activated strontium aluminate (SrAl2O4: Eu2+, Dy3+)-based long afterglow powders. This article begins by describing the importance of road markings and the need to improve their visibility and durability at night and in adverse weather conditions. Subsequently, the current passive and active methods for improving the visibility of marking materials are discussed in detail, focusing on the advantages of aluminate long aft

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Shaw, John W., Madhav V. Chitturi, and David A. Noyce. "Special-Color Pavement Marking for Highway Work Zones: Literature Review of International Practices." Transportation Research Record: Journal of the Transportation Research Board 2617, no. 1 (2017): 78–86. http://dx.doi.org/10.3141/2617-10.

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Roadway lanes are often repositioned to accommodate highway work operations; as a result, pavement markings need to be altered. Although there are various methods for removing or obscuring existing pavement markings, “ghost” markings often remain at the locations of the old lane lines. These ghost markings can be quite conspicuous under certain lighting conditions, creating the potential for road user confusion. The Canadian province of Ontario and several European countries routinely use a special marking color (orange or yellow) to increase the salience of temporary lane lines. Special-color

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Babić, Dario, Mario Fiolić, Darko Babić, and Timothy Gates. "Road Markings and Their Impact on Driver Behaviour and Road Safety: A Systematic Review of Current Findings." Journal of Advanced Transportation 2020 (August 28, 2020): 1–19. http://dx.doi.org/10.1155/2020/7843743.

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As part of the traffic control plan, road markings form the traffic surface and provide visual guidance for road users. Since their first application to the present day, road markings have become a common element of road infrastructure and one of the basic low-cost safety measures. The aim of this paper is to provide a systematic review of the most significant academic activities to date regarding the influence of longitudinal and transverse road markings as well as road markings for hazard locations (curves, intersections, and rural-urban transitions) on driver’s behaviour and overall road sa

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Coves-Campos, Andrés, Luis Bañón, José Coves-García, and Salvador Ivorra. "In Situ Study of Road Marking Durability Using Glass Microbeads and Antiskid Aggregates as Drop-On Materials." Coatings 8, no. 10 (2018): 371. http://dx.doi.org/10.3390/coatings8100371.

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Road markings play an important role in road safety because they provide significant information to drivers about the road. For that reason, they must be replaced when they are not correctly perceived by road users. To analyse which are the main factors that affect road marking perception over time, a test section was designed in a two-lane rural highway, running actual traffic over 18 different types of markings fabricated with different combinations of drop-on materials. Chromatic coordinates, luminance, and retroreflectivity of each sample were measured during 18 months in order to study th

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Bøgesvang Basse, Henrik. "Pioneering Safety, Marking the Future." Traffic Technology International 2024, no. 1 (2024): 92–93. http://dx.doi.org/10.12968/s1356-9252(24)40043-9.

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Xu, Shuyuan, Jun Wang, Peng Wu, Wenchi Shou, Xiangyu Wang, and Mengcheng Chen. "Vision-Based Pavement Marking Detection and Condition Assessment—A Case Study." Applied Sciences 11, no. 7 (2021): 3152. http://dx.doi.org/10.3390/app11073152.

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Pavement markings constitute an effective way of conveying regulations and guidance to drivers. They constitute the most fundamental way to communicate with road users, thus, greatly contributing to ensuring safety and order on roads. However, due to the increasingly extensive traffic demand, pavement markings are subject to a series of deterioration issues (e.g., wear and tear). Markings in poor condition typically manifest as being blurred or even missing in certain places. The need for proper maintenance strategies on roadway markings, such as repainting, can only be determined based on a c

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Franco, Felipe, Max Mauro Dias Santos, Rui Tadashi Yoshino, Leopoldo Rideki Yoshioka, and João Francisco Justo. "ROADLANE—The Modular Framework to Support Recognition Algorithms of Road Lane Markings." Applied Sciences 11, no. 22 (2021): 10783. http://dx.doi.org/10.3390/app112210783.

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One of the main actions of the driver is to keep the vehicle in a road lane within its markings, which could be aided with modern driver-assistance systems. Forward digital cameras in vehicles allow deploying computer vision strategies to extract the road recognition characteristics in real-time to support several features, such as lane departure warning, lane-keeping assist, and traffic recognition signals. Therefore, the road lane marking needs to be recognized through computer vision strategies providing the functionalities to decide on the vehicle’s drivability. This investigation presents

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Adeyemi, Oladimeji, Martins Irhebhude, and Adeola Kolawole. "Speed Breakers, Road Marking Detection and Recognition Using Image Processing Techniques." Advances in Image and Video Processing 7, no. 5 (2019): 30–42. http://dx.doi.org/10.14738/aivp.75.7205.

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This paper presents a image processing technique for speed breaker, road marking detection and recognition. An Optical Character Recognition (OCR) algorithm was used to recognize traffic signs such as “STOP” markings and a Hough transform was used to detect line markings which serves as a pre-processing stage to determine when the proposed technique does OCR or speed breaker recognition. The stopline inclusion serves as a pre-processing stage that tells the system when to perform stop marking recognition or speed breaker recognition. Image processing techniques was used for the processing of f

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Hoang, Toan, Phong Nguyen, Noi Truong, Young Lee, and Kang Park. "Deep RetinaNet-Based Detection and Classification of Road Markings by Visible Light Camera Sensors." Sensors 19, no. 2 (2019): 281. http://dx.doi.org/10.3390/s19020281.

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Detection and classification of road markings are a prerequisite for operating autonomous vehicles. Although most studies have focused on the detection of road lane markings, the detection and classification of other road markings, such as arrows and bike markings, have not received much attention. Therefore, we propose a detection and classification method for various types of arrow markings and bike markings on the road in various complex environments using a one-stage deep convolutional neural network (CNN), called RetinaNet. We tested the proposed method in complex road scenarios with thre

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