Validating vehicle image sensor timestamps

A computer-implemented method for validating image sensor timestamps of a vehicle 600A comprising two or more image sensors, comprising: obtaining, from a first image sensor (e.g. camera) 610A of the vehicle, a plurality of time-stamped first images covering a period while the vehicle is in motion,...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Karim Tarek Mahmoud Elsayed Ahmed Shaban
Format: Patent
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Karim Tarek Mahmoud Elsayed Ahmed Shaban
description A computer-implemented method for validating image sensor timestamps of a vehicle 600A comprising two or more image sensors, comprising: obtaining, from a first image sensor (e.g. camera) 610A of the vehicle, a plurality of time-stamped first images covering a period while the vehicle is in motion, (e.g. T1, T2); obtaining, from a second image sensor 620 of the vehicle, a second time-stamped image from within the period; processing the first plurality of images, by a computer vision model, to identify a plurality of features and corresponding positions of an object 660 in an environment and to estimate the position and orientation of the first image sensor for each of the plurality of first images at their associated timestamps; obtaining a calibration value of a position and orientation of the second image sensor relative to the first image sensor; extrapolating a position track 650 and orientation track in the period from the estimated positions and orientations of the first image sensor at the timestamps; estimating, by the computer vision model, the position and orientation of the second image sensor at the second image timestamp using: the extrapolated position track, the extrapolated orientation track, and the calibration value; generating, by the computer vision model, a simulated image at the estimated position and orientation of the second image sensor at the second image timestamp using the identified plurality of features; and calculating an error value by comparing the simulated image and the second image.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_GB2620561A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>GB2620561A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_GB2620561A3</originalsourceid><addsrcrecordid>eNrjZNAKS8zJTEksycxLVyhLzchMzklVyMxNTE9VKE7NK84vUijJzE0tLknMLSjmYWBNS8wpTuWF0twM8m6uIc4euqkF-fGpxQWJyal5qSXx7k5GZkYGpmaGjsaEVQAArogocA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Validating vehicle image sensor timestamps</title><source>esp@cenet</source><creator>Karim Tarek Mahmoud Elsayed Ahmed Shaban</creator><creatorcontrib>Karim Tarek Mahmoud Elsayed Ahmed Shaban</creatorcontrib><description>A computer-implemented method for validating image sensor timestamps of a vehicle 600A comprising two or more image sensors, comprising: obtaining, from a first image sensor (e.g. camera) 610A of the vehicle, a plurality of time-stamped first images covering a period while the vehicle is in motion, (e.g. T1, T2); obtaining, from a second image sensor 620 of the vehicle, a second time-stamped image from within the period; processing the first plurality of images, by a computer vision model, to identify a plurality of features and corresponding positions of an object 660 in an environment and to estimate the position and orientation of the first image sensor for each of the plurality of first images at their associated timestamps; obtaining a calibration value of a position and orientation of the second image sensor relative to the first image sensor; extrapolating a position track 650 and orientation track in the period from the estimated positions and orientations of the first image sensor at the timestamps; estimating, by the computer vision model, the position and orientation of the second image sensor at the second image timestamp using: the extrapolated position track, the extrapolated orientation track, and the calibration value; generating, by the computer vision model, a simulated image at the estimated position and orientation of the second image sensor at the second image timestamp using the identified plurality of features; and calculating an error value by comparing the simulated image and the second image.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20240117&amp;DB=EPODOC&amp;CC=GB&amp;NR=2620561A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20240117&amp;DB=EPODOC&amp;CC=GB&amp;NR=2620561A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Karim Tarek Mahmoud Elsayed Ahmed Shaban</creatorcontrib><title>Validating vehicle image sensor timestamps</title><description>A computer-implemented method for validating image sensor timestamps of a vehicle 600A comprising two or more image sensors, comprising: obtaining, from a first image sensor (e.g. camera) 610A of the vehicle, a plurality of time-stamped first images covering a period while the vehicle is in motion, (e.g. T1, T2); obtaining, from a second image sensor 620 of the vehicle, a second time-stamped image from within the period; processing the first plurality of images, by a computer vision model, to identify a plurality of features and corresponding positions of an object 660 in an environment and to estimate the position and orientation of the first image sensor for each of the plurality of first images at their associated timestamps; obtaining a calibration value of a position and orientation of the second image sensor relative to the first image sensor; extrapolating a position track 650 and orientation track in the period from the estimated positions and orientations of the first image sensor at the timestamps; estimating, by the computer vision model, the position and orientation of the second image sensor at the second image timestamp using: the extrapolated position track, the extrapolated orientation track, and the calibration value; generating, by the computer vision model, a simulated image at the estimated position and orientation of the second image sensor at the second image timestamp using the identified plurality of features; and calculating an error value by comparing the simulated image and the second image.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZNAKS8zJTEksycxLVyhLzchMzklVyMxNTE9VKE7NK84vUijJzE0tLknMLSjmYWBNS8wpTuWF0twM8m6uIc4euqkF-fGpxQWJyal5qSXx7k5GZkYGpmaGjsaEVQAArogocA</recordid><startdate>20240117</startdate><enddate>20240117</enddate><creator>Karim Tarek Mahmoud Elsayed Ahmed Shaban</creator><scope>EVB</scope></search><sort><creationdate>20240117</creationdate><title>Validating vehicle image sensor timestamps</title><author>Karim Tarek Mahmoud Elsayed Ahmed Shaban</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_GB2620561A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>Karim Tarek Mahmoud Elsayed Ahmed Shaban</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Karim Tarek Mahmoud Elsayed Ahmed Shaban</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Validating vehicle image sensor timestamps</title><date>2024-01-17</date><risdate>2024</risdate><abstract>A computer-implemented method for validating image sensor timestamps of a vehicle 600A comprising two or more image sensors, comprising: obtaining, from a first image sensor (e.g. camera) 610A of the vehicle, a plurality of time-stamped first images covering a period while the vehicle is in motion, (e.g. T1, T2); obtaining, from a second image sensor 620 of the vehicle, a second time-stamped image from within the period; processing the first plurality of images, by a computer vision model, to identify a plurality of features and corresponding positions of an object 660 in an environment and to estimate the position and orientation of the first image sensor for each of the plurality of first images at their associated timestamps; obtaining a calibration value of a position and orientation of the second image sensor relative to the first image sensor; extrapolating a position track 650 and orientation track in the period from the estimated positions and orientations of the first image sensor at the timestamps; estimating, by the computer vision model, the position and orientation of the second image sensor at the second image timestamp using: the extrapolated position track, the extrapolated orientation track, and the calibration value; generating, by the computer vision model, a simulated image at the estimated position and orientation of the second image sensor at the second image timestamp using the identified plurality of features; and calculating an error value by comparing the simulated image and the second image.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng
recordid cdi_epo_espacenet_GB2620561A
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
title Validating vehicle image sensor timestamps
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T18%3A01%3A00IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=Karim%20Tarek%20Mahmoud%20Elsayed%20Ahmed%20Shaban&rft.date=2024-01-17&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EGB2620561A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true