Automated Detection of Pedestrian and Bicycle Lanes from High-Resolution Aerial Images by Integrating Image Processing and Artificial Intelligence (AI) Techniques

Simple item page
dc.contributor.authorRichard Boadu Antwi
dc.contributor.authorPrince Lartey Lawson
dc.contributor.authorMichael Kimollo
dc.contributor.authorEren Erman Ozguven
dc.contributor.authorRen Moses
dc.contributor.authorMaxim A. Dulebenets
dc.contributor.authorThobias Sando
dc.date.accessioned2025-05-14T17:01:42Z
dc.date.available2025-05-14T17:01:42Z
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/32781
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleAutomated Detection of Pedestrian and Bicycle Lanes from High-Resolution Aerial Images by Integrating Image Processing and Artificial Intelligence (AI) Techniques
dc.typepdf
dspace.entity.typeDistribution
relation.isDatasetOfDistribution8229b535-2c53-4ee3-89b7-88d10418a05c
relation.isDatasetOfDistribution.latestForDiscovery8229b535-2c53-4ee3-89b7-88d10418a05c

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
ijgi-14-04-00135.pdf
Size:
10.91 MB
Format:
Adobe Portable Document Format
Download

Collections

2025