In Noticias

After studying and classifying more than 2,500 images depicting concrete surface cracking, researchers working with Louisiana Department of Transportation and Development applied complex mathematical formulas to create an improved digital modeling method to identify pavement cracks.

Together with visual imagery collected with drone or through other means, this could potentially change how roadway maintenance projects are identified and lead to improvements in the speed and accuracy of pavement crack detection.

Read the report: Deep Learning Based Multi-Sensor Integration for Pavement Crack Detection, July 2020.

Fuente de la noticia:

Recent Posts

Dejar un comentario

Contact Us

We're not around right now. But you can send us an email and we'll get back to you, asap.

Not readable? Change text. captcha txt

Start typing and press Enter to search