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A stereo vision system on Jetson device using deep learning

cris.lastimport.scopus2024-09-17T01:30:52Z
dc.abstract.enThis paper presents a stereo vision system created on a Jetson device with a GPU. Two cameras attached to the cover are connected to the device. Before using the system, the calibration procedure should be done. The stereo vision system uses two deep learning algorithms (one for disparity map extraction and the second for panoptic segmentation) with custom preprocessing and postprocessing stages. Results from both algorithms were used to calculate point clouds for every registered object.
dc.affiliationAdministracji i Nauk Społecznych
dc.contributor.authorŁukasz Maciura
dc.contributor.authorDariusz Wójcik
dc.contributor.authorMichał Maj
dc.contributor.authorDariusz Majerek
dc.date.accessioned2024-08-02T12:43:22Z
dc.date.available2024-08-02T12:43:22Z
dc.date.issued2023
dc.description.number2
dc.identifier.doi10.15199/48.2023.02.32
dc.identifier.issn0033-2097
dc.identifier.urihttps://repo.akademiawsei.eu/handle/item/550
dc.languageen
dc.pbn.affiliationeconomics and finance
dc.relation.ispartofPRZEGLĄD ELEKTROTECHNICZNY
dc.relation.pages178-181
dc.rightsClosedAccess
dc.subject.enstereo vision
dc.subject.enJetson
dc.subject.endeep learning
dc.titleA stereo vision system on Jetson device using deep learning
dc.typeReviewArticle
dspace.entity.typePublication
oaire.citation.issue2
oaire.citation.volume1