Abstract
The assessment of road condition periodically is essential to enable road authorities to provide cost-effective and preventative road maintenance. An increasingly popular approach is to use a scanning laser to acquire surface condition data from a vehicle moving at normal traffic speeds. However, due to the high-density of received data such data collection systems usually are designed with off-line processing. This increases the system cost as a large storage device is required and limits the potential application of the approach. In this paper, we present a robust approach for road assessment which uses point lasers that output low-density 1D scanning data from the road surface and can be processed in real-time allied to a low-complexity signal processing algorithm to assess the road condition data. The experimental results indicate that the point laser and proposed concepts together provide a reliable and adequate means of road condition assessment compared with an approach which uses the scanning laser. © 2018 IEEE.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 17th IEEE Sensors Conference 2018 |
| Publisher | IEEE |
| Number of pages | 4 |
| Volume | 2018-October |
| ISBN (Print) | 9781538647073 |
| DOIs | |
| Publication status | Published - Oct 2018 |
| Event | 17th IEEE Sensors Conference 2018 - Pullman Aeorcity, New Delhi, India Duration: 28 Oct 2018 → 31 Oct 2018 |
Conference
| Conference | 17th IEEE Sensors Conference 2018 |
|---|---|
| Abbreviated title | SENSORS 2018 |
| Country/Territory | India |
| City | New Delhi |
| Period | 28/10/18 → 31/10/18 |
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