OA-SLAM data/weights

DOI

Test sequences of two indoor scenes used to evaluate semantic visual SLAM (Simultaneous Localization And Mapping). This repository also contains Yolo v5 weights for object detections, either pretrained on COCO dataset or fine-tuned on statues and museum objects. This data can be used to run OA-SLAM (Object-Aided SLAM), available at https://gitlab.inria.fr/tangram/oa-slam.

OA-SLAM, 1.0

Identifier
DOI https://doi.org/10.12763/2CZWJP
Metadata Access https://dorel.univ-lorraine.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.12763/2CZWJP
Provenance
Creator Zins, Matthieu ORCID logo
Publisher Université de Lorraine
Contributor Berger, Marie-Odile; Simon, Gilles
Publication Year 2023
Rights Etalab (CC-BY); info:eu-repo/semantics/openAccess; https://www.etalab.gouv.fr/wp-content/uploads/2017/04/ETALAB-Licence-Ouverte-v2.0.pdf
OpenAccess true
Contact Berger, Marie-Odile (LORIA ; INRIA, Université de Lorraine ; France); Simon, Gilles (LORIA ; INRIA, Université de Lorraine ; France)
Representation
Resource Type Dataset
Format text/plain; application/zip; application/octet-stream
Size 250; 35146; 400; 130390099; 213792319; 231954202; 388170162; 248280568; 225385074; 84849890; 85152299; 42806829; 83701176; 84003585; 42210477
Version 1.0
Discipline Other