Encoded asphalt materials for the guidance of autonomous vehicles
| Autor: | Fernando Moreno-Navarro, M.C. Rubio-Gámez, Guillermo R. Iglesias |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Road engineering
Road construction Computer science 0211 other engineering and technologies Less invasive 020101 civil engineering 02 engineering and technology Building and Construction Left behind Construction engineering Field (computer science) 0201 civil engineering Control and Systems Engineering Asphalt SAFER 021105 building & construction Adaptation (computer science) Civil and Structural Engineering |
| Zdroj: | Automation in Construction. 99:109-113 |
| ISSN: | 0926-5805 |
| DOI: | 10.1016/j.autcon.2018.12.004 |
| Popis: | The adaptation of pavements to autonomous vehicles has become one of the main challenges in the field of road engineering. These infrastructures must provide a safer and comfortable circulation whilst helping to guide the vehicles and provide information about the status of the road. In spite of the significant advances that have been made in autonomous vehicles in recent years, the development of new pavements adapted to their use has been left behind. This paper presents some of the results obtained in a project aimed at developing an innovative asphalt material, which has been codified using magnetic particles in order facilitate the driving of autonomous vehicles. The results have demonstrated that these encoded materials are sufficiently sensitive to provide information to autonomous vehicles, and can be developed by using less invasive construction procedures. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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