Articles | Volume 11, issue 1
https://doi.org/10.5194/jsss-11-187-2022
https://doi.org/10.5194/jsss-11-187-2022
Regular research article
 | 
29 Jun 2022
Regular research article |  | 29 Jun 2022

Near-infrared LED system to recognize road surface conditions for autonomous vehicles

Hongyi Zhang, Shéhérazade Azouigui, Rabia Sehab, and Moussa Boukhnifer

Viewed

Total article views: 958 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
698 223 37 958 42 29
  • HTML: 698
  • PDF: 223
  • XML: 37
  • Total: 958
  • BibTeX: 42
  • EndNote: 29
Views and downloads (calculated since 29 Jun 2022)
Cumulative views and downloads (calculated since 29 Jun 2022)

Viewed (geographical distribution)

Total article views: 905 (including HTML, PDF, and XML) Thereof 905 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
In this paper, a near-infrared LED system is proposed for autonomous vehicles to distinguish between weather-induced road surface conditions (dry, wet, snow, ice, water). For the LED spectra, the influence of the LED bandwidth is investigated. To assess the performance of the system for a long detection range, experiments with large incident angles are conducted. The feasibility of this system is proved via a laboratory experiment with three near-infrared LEDs and a camera.