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Temporary Road Marking Paint for Vehicle Perception Tests.
- Source :
- Applied Sciences (2076-3417); Aug2024, Vol. 14 Issue 16, p7362, 19p
- Publication Year :
- 2024
-
Abstract
- Featured Application: The gained knowledge can be applied by road marking material manufacturers and automotive proving ground operators to provide road marking scenarios on test tracks to test perception systems that work with camera or LiDAR sensors. The investigated method is especially useful for urban scenarios with road markings that have complex geometric shapes, such as small radii, symbols, lettering, and specific corner shapes for parking slots. 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 capability of automated driving systems and more applications for urban environments, edgy road marking shapes gain importance for proving ground testing. This study examines the use of water-soluble road marking paint specifically designed for the use case of temporary applications on proving grounds for camera- and LiDAR-based perception testing. We found that white, water-soluble paint with 1.5% binder content and 2.25% coalescing agent content can provide realistic road markings for vehicle testing purposes. However, solubility affects the paint's vulnerability to fading during rain. Hence, renewal activities over the course of longer test drives might be necessary. The paint could be removed using water pressure without significant residue or damaging of the asphalt. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 20763417
- Volume :
- 14
- Issue :
- 16
- Database :
- Complementary Index
- Journal :
- Applied Sciences (2076-3417)
- Publication Type :
- Academic Journal
- Accession number :
- 179351390
- Full Text :
- https://doi.org/10.3390/app14167362