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Abstract
Transport for London (TfL) operates the largest metro network in Europe, covering 750km of track. Sheer size makes maintaining detailed records about assets on the network extremely difficult, which has implications for the ability of TfL to maintain asset conditions and plan for appropriate upgrades. If we can ascertain track asset information from data held by TfL, that could be incredibly valuable and allow the operator to better maintain and upgrade its track. Therefore, the main objective of this challenge is to achieve “identification (localisation and classification) of physical assets on the London Underground from image data”.
| Original language | English |
|---|---|
| Number of pages | 55 |
| Edition | 9 |
| DOIs | |
| Publication status | Published - May 2025 |
Keywords
- London transport
- metro network
- London underground
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Dive into the research topics of 'Data Study Group Final Report: Transport for London'. Together they form a unique fingerprint.Activities
- 1 Oral presentation
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High-Precision Rail Infrastructure Monitoring: Automated Sleeper Spacing and Vegetation Encroachment Detection from Scalable 2D Image Data
Das, D. B. (Speaker)
9 Mar 2024Activity: Talk or Presentation › Oral presentation
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