Projects per year
Project Details
Description
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,
Acronym | ASIR |
---|---|
Status | Finished |
Effective start/end date | 01/11/2018 → 30/04/2022 |
Collaborative partners
- University of Southern Denmark
- Aarhus Vand A/S
- Vandcenter Syd A/S
- HOFOR
- Tiny Mobile Robots (lead)
- Envidan A/S
- FKSSlamson
- INLOC Robotics
Funding
- Innovation Fund Denmark: DKK13,000,000.00
Fingerprint
Impacts
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Robots find defects in sewers
Thomas B. Moeslund (Participant), Chris Holmberg Bahnsen (Participant) & Joakim Bruslund Haurum (Participant)
Impact: Economic impact, Other impact
Projects
- 1 Finished
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Value Creation in the Utility Sector Using Machine Learning
Hansen, B. D., Moeslund, T. B. & Jensen, D. G.
01/01/2019 → 31/12/2021
Project: Research
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Multi-scale hybrid vision transformer and Sinkhorn tokenizer for sewer defect classification
Haurum, J. B., Madadi, M., Guerrero, S. E. & Moeslund, T. B., Dec 2022, In: Automation in Construction. 144, 104614.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile4 Citations (Scopus)233 Downloads (Pure) -
Multi-Task Classification of Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder
Haurum, J. B., Madadi, M., Guerrero, S. E. & Moeslund, T. B., 2022, Proceedings - 2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022. IEEE, p. 1441-1452 12 p. (IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)).Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
Open Access4 Citations (Scopus) -
3D Sensors for Sewer Inspection: A Quantitative Review and Analysis
Bahnsen, C. H., Johansen, A. S., Philipsen, M. P., Henriksen, J. W., Nasrollahi, K. & Moeslund, T. B., 6 Apr 2021, In: Sensors. 21, 7, 27 p., 2553.Research output: Contribution to journal › Review article › peer-review
Open AccessFile21 Citations (Scopus)179 Downloads (Pure)
Press/Media
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FORSKER I SPILDEVAND: Kontinuerlig inspektion af kloakrør kan spare forsyninger for et trecifret millionbeløb – om året
15/05/2022
1 item of Media coverage
Press/Media: Press / Media
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Tv-inspektioner af kloakker kan automatiseres
15/03/2022
1 Media contribution
Press/Media: Press / Media
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Data og algoritmer skal hjælpe med at vedligeholde vores kloakker
Joakim Bruslund Haurum & Thomas B. Moeslund
21/06/2021
1 Media contribution
Press/Media: Press / Media
Datasets
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Sewer-ML
Haurum, J. B. (Creator) & Moeslund, T. B. (Creator), sciencedata.dk, 18 Jun 2021
https://forms.gle/hBaPtoweZumZAi4u9 and one more link, https://vap.aau.dk/sewer-ml/ (show fewer)
Dataset
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AAU Sewer Defect Point Cloud Dataset
Haurum, J. B. (Creator), Allahham, M. M. J. (Creator), Lynge, M. S. (Creator), Henriksen, K. S. (Creator), Nikolov, I. A. (Creator) & Moeslund, T. B. (Creator), Kaggle, 2021
https://www.kaggle.com/aalborguniversity/sewerpointclouds
Dataset