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Data · dataset · 2023

Object Detection on Depth Map with YOLO

Listed in DaRUS

A neural network, based on the ‘You Only Look Once’ (YOLO) network, has been trained to detect objects, using conventional RGB images.

Description

Taking advantage of the pixel relationship between the RGB image and the depth map, the positions of the detected objects will be projected onto a depth map. After some statistic analysis, the pixels pertaining to one object will be extracted.

Finally, the 3D position of the object in the surroundings will be calculated.

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Where it is published

Catalogue records · 1

Topics

From keywords
Engineering
Inferred from text
Image 75% · Machine learning 69%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
DaRUSdoi:10.18419/DARUS-376611 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:4611enrichment · darus uni stuttgart detaxonomy-embedding@1.1.0title+keywords+description (69%)
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concepts[field].dataverse_subject:engineeringsource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
concepts[field].local:field:engineeringmapping · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
concepts[modality].local:modality:imageenrichment · darus uni stuttgart dekeyword-concept-rules@1.0.0title+description (75%)
created_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
descriptionsource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/description
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