Bogaerts, T.; Watelet, S.; De Bruyne, N.; Thoen, C.; Coopman, T.; Van den Bergh, J.; Reyniers, M.; Seynaeve, D.; Casteels, W.; Latré, S.;
et al. Leveraging Artificial Intelligence and Fleet Sensor Data towards a Higher Resolution Road Weather Model. Sensors 2022, 22, 2732.
https://doi.org/10.3390/s22072732
AMA Style
Bogaerts T, Watelet S, De Bruyne N, Thoen C, Coopman T, Van den Bergh J, Reyniers M, Seynaeve D, Casteels W, Latré S,
et al. Leveraging Artificial Intelligence and Fleet Sensor Data towards a Higher Resolution Road Weather Model. Sensors. 2022; 22(7):2732.
https://doi.org/10.3390/s22072732
Chicago/Turabian Style
Bogaerts, Toon, Sylvain Watelet, Niko De Bruyne, Chris Thoen, Tom Coopman, Joris Van den Bergh, Maarten Reyniers, Dirck Seynaeve, Wim Casteels, Steven Latré,
and et al. 2022. "Leveraging Artificial Intelligence and Fleet Sensor Data towards a Higher Resolution Road Weather Model" Sensors 22, no. 7: 2732.
https://doi.org/10.3390/s22072732
APA Style
Bogaerts, T., Watelet, S., De Bruyne, N., Thoen, C., Coopman, T., Van den Bergh, J., Reyniers, M., Seynaeve, D., Casteels, W., Latré, S., & Hellinckx, P.
(2022). Leveraging Artificial Intelligence and Fleet Sensor Data towards a Higher Resolution Road Weather Model. Sensors, 22(7), 2732.
https://doi.org/10.3390/s22072732