Projektdetaljer

Beskrivelse

The ASIR projects aims to develop an autonomous robot for continuous inspections of sewer pipes, for improved asset management of the sewer networks.

The ASIR project is a collaboration between Aalborg University, University of Southern Denmark, Aarhus Vand, Vandcenter Syd, HOFOR, Tiny Mobile Robots, INLOC Robotics, Envidan, and, FKSSlamson,
AkronymASIR
StatusIgangværende
Effektiv start/slut dato01/11/201830/04/2022

Projekter

  • 1 Igangværende

Value Creation in the Utility Sector Using Machine Learning

Hansen, B. D., Moeslund, T. B. & Jensen, D. G.

01/01/201931/12/2021

Projekter: ProjektForskning

Publikation

  • 2 Konferenceartikel i proceeding
  • 1 Review (oversigtsartikel)

A Survey on Image-Based Automation of CCTV and SSET Sewer Inspections

Haurum, J. B. & Moeslund, T. B., mar. 2020, I : Automation in Construction. 111, 19 s., 103061.

Publikation: Bidrag til tidsskriftReview (oversigtsartikel)Forskningpeer review

  • Generating Synthetic Point Clouds of Sewer Networks: An Initial Investigation

    Henriksen, K. S., Lynge, M. S., D.B.Jeppesen, M., Allahham, M. M. J., Nikolov, I. A., Haurum, J. B. & Moeslund, T. B., 2020, Augmented Reality, Virtual Reality, and Computer Graphics: 7th International Conference, AVR 2017, Lecce, Italy, September 7-10, 2020, Proceedings, Part II. De Paolis, L. T. & Bourdot, P. (red.). Springer, s. 364-373 10 s. (Lecture Notes in Computer Science, Bind 12243 LNCS).

    Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

  • General Sewer Deterioration Model Using Random Forest

    Hansen, B. D., Jensen, D. G., Rasmussen, S. H., Tamouk, J., Uggerby, M. & Moeslund, T. B., 2019, IEEE Symposium on Computational Intelligence for Engineering Solutions (IEEE CIES). IEEE, 8 s.

    Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

  • Presse/medier