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Kaifeng Wang, Ziyu Lu, Yingxue Zou, Yunsheng Zhu and Junhui Yu
For improving the night recognition of road markings and enhancing the driving safety of asphalt pavements, single-factor optimization is used to investigate the effects of the component materials, including luminescent power, pigment, filler, and anti-s...
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Christine Dewi, Rung-Ching Chen, Yong-Cun Zhuang, Xiaoyi Jiang and Hui Yu
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 situat...
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Yunzhuo Liu, Chunjiang Wu, Yuting Zeng, Keyu Chen and Shijie Zhou
Artificial Intelligence has been widely applied in intelligent transportation systems. In this work, Swin-APT, a deep learning-based approach for semantic segmentation and object detection in intelligent transportation systems is presented. Swin-APT incl...
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Fawaz Alharbi, Meshal I. Almoshaogeh, Anwar H. Ibrahim, Husnain Haider, Abd Elaziz M. Elmadina and Ibrahim Alfallaj
Saudi Arabian urban roads and highways have witnessed a large number of traffic crashes. Road lighting is one of the most important factors influencing drivers? safety during the nighttime. Street-lighting design (e.g., spacing and height), visibility (e...
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Sharad Mehta, John Peach and Andrew Weinert
Aerial surveys using LiDAR systems can play a vital role in the quantitative assessment of infrastructure damage caused by hurricanes, floods, and other natural disasters. GmAPD LiDAR provides high-resolution 3D point-cloud data which enables the surveyo...
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Christine Dewi, Rung-Ching Chen, Yong-Cun Zhuang and Henoch Juli Christanto
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 sim...
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Zoltán Fazekas, László Gerencsér and Péter Gáspár
A road environment-type (RET) detection function could improve the road awareness of inexperienced car drivers, especially in urban areas, and by doing so, it could slightly raise the urban traffic safety. A pragmatic implementation could make use of sta...
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Shuyuan Xu, Jun Wang, Peng Wu, Wenchi Shou, Xiangyu Wang and Mengcheng Chen
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...
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Alireza Sassani, Omar Smadi and Neal Hawkins
Pavement markings are essential elements of transportation infrastructure with critical impacts on safety and mobility. They provide road users with the necessary information to adjust driving behavior or make calculated decisions about commuting. The vi...
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Ronghao Yang, Qitao Li, Junxiang Tan, Shaoda Li and Xinyu Chen
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 scan...
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