Semantic understanding of multi-contextual rail point clouds for asset inventory geolocation

Kharroubi, Abderrazzaq

Scientific conference in universities or research centers (Scientific conferences in universities or research centers)

Kharroubi, Abderrazzaq

2024

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https://hdl.handle.net/2268/314626

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Keywords :

railway, point cloud, lidar, machine learning, semantic segmentation, classification

Abstract :

[en] Semantic understanding of multi-contextual rail point clouds for asset inventory geolocation

Research center :

SPHERES - ULiège [BE]

Disciplines :

Earth sciences & physical geography

Author, co-author :

Kharroubi, Abderrazzaq ; Université de Liège - ULiège > Sphères

Language :

English

Title :

Semantic understanding of multi-contextual rail point clouds for asset inventory geolocation

Alternative titles :

[fr] Compréhension sémantique des nuages de points ferroviaires multicontextuels pour la géolocalisation de l'inventaire des actifs

Original title :

[en] Semantic understanding of multi-contextual rail point clouds for asset inventory geolocation

Publication date :

15 March 2024

Number of pages :

Event name :

Belgian geographers day 2024

Event organizer :

Comité natinal de géoghraphie

Event place :

namur, Belgium

Event date :

15 March 2024

Development Goals :

9. Industry, innovation and infrastructure

Additional URL :

https://bgeoday.unamur.be/

Funders :

F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]

Funding number :

Abderrazzaq Kharroubi Aspirant

Available on ORBi :

since 25 March 2024

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