Method to predict the performance of luminescent road markings over a year by C. Villa, F. Eymond, P.L. Marquet, R. Bremond, E. Saint-Jacques

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Cross-Field Road Markings Detection Based on Inverse Perspective Mapping by Eric Hsueh-Chan Lu, Yi-Chun Hsieh

Subjects: “…road markings…”
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Model for Predicting Road Markings Service Life by Dario Babić, Anđelko Ščukanec, Darko Babić, Mario Fiolić

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Determining the Correlation Between Daytime and Night-Time Road Markings Visibility by Dario Babić, Anđelko Ščukanec, Darko Babić

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Learnable Resized and Laplacian-Filtered U-Net: Better Road Marking Extraction and Classification on Sparse-Point-Cloud-Derived Imagery by Miguel Luis Rivera Lagahit, Xin Liu, Haoyi Xiu, Taehoon Kim, Kyoung-Sook Kim, Masashi Matsuoka

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Artificial Intelligence-Enhanced Colorimetric Assessment of Self-Cleaning Road Marking Paints by Orlando Lima, Iran Rocha Segundo, Laura Mazzoni, Manuel F. M. Costa, Elisabete Freitas, Joaquim Carneiro

Subjects: “…road marking…”
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Equipment Condition for Zebra Crossing Night-Time Safety Performance in Latvia by Maris Seflers, Juris Kreicbergs, Gernot Sauter

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Condition Assessment of Road Equipment – State-of-the-Art by Ulf Isacsson

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International Perspectives on Skid Resistance Requirements for Pavement Markings: A Comprehensive Synthesis and Analysis by Jieyi Bao, Hua Zhao, Yi Jiang, Shuo Li

Subjects: “…pavement/road marking…”
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