Sparse map for autonomous vehicle navigation
Systems and methods are provided for constructing, using, and updating the sparse map for autonomous vehicle navigation. In one implementation, a non-transitory computer-readable medium includes a sparse map for autonomous vehicle navigation along a road segment. The sparse map includes a polynomial...
Gespeichert in:
Hauptverfasser: | , , , , , , , , , , , , , , , |
---|---|
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 | Braunstein, Daniel Springer, Ofer Buberman, Ori Hayon, Gaby Rubinsky, Sergey Gdalyahu, Yoram Stein, Gideon Ferencz, Andras Taieb, Yoav Shashua, Amnon Reisman, Aran Huberman, David Tubis, Igor Shalev-Shwartz, Shai Aviel, Yuval Bellaiche, Levi |
description | Systems and methods are provided for constructing, using, and updating the sparse map for autonomous vehicle navigation. In one implementation, a non-transitory computer-readable medium includes a sparse map for autonomous vehicle navigation along a road segment. The sparse map includes a polynomial representation of a target trajectory for the autonomous vehicle along the road segment and a plurality of predetermined landmarks associated with the road segment, wherein the plurality of predetermined landmarks are spaced apart by at least 50 meters. The sparse map has a data density of no more than 1 megabyte per kilometer. |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_AU2016219343BB2</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>AU2016219343BB2</sourcerecordid><originalsourceid>FETCH-epo_espacenet_AU2016219343BB23</originalsourceid><addsrcrecordid>eNrjZNAJLkgsKk5VyE0sUEjLL1JILC3Jz8vPzS8tVihLzchMzklVyEssy0xPLMnMz-NhYE1LzClO5YXS3Awqbq4hzh66qQX58anFBYnJqXmpJfGOoUYGhmZGhpbGJsZOTkbGRCoDAKkjK2g</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Sparse map for autonomous vehicle navigation</title><source>esp@cenet</source><creator>Braunstein, Daniel ; Springer, Ofer ; Buberman, Ori ; Hayon, Gaby ; Rubinsky, Sergey ; Gdalyahu, Yoram ; Stein, Gideon ; Ferencz, Andras ; Taieb, Yoav ; Shashua, Amnon ; Reisman, Aran ; Huberman, David ; Tubis, Igor ; Shalev-Shwartz, Shai ; Aviel, Yuval ; Bellaiche, Levi</creator><creatorcontrib>Braunstein, Daniel ; Springer, Ofer ; Buberman, Ori ; Hayon, Gaby ; Rubinsky, Sergey ; Gdalyahu, Yoram ; Stein, Gideon ; Ferencz, Andras ; Taieb, Yoav ; Shashua, Amnon ; Reisman, Aran ; Huberman, David ; Tubis, Igor ; Shalev-Shwartz, Shai ; Aviel, Yuval ; Bellaiche, Levi</creatorcontrib><description>Systems and methods are provided for constructing, using, and updating the sparse map for autonomous vehicle navigation. In one implementation, a non-transitory computer-readable medium includes a sparse map for autonomous vehicle navigation along a road segment. The sparse map includes a polynomial representation of a target trajectory for the autonomous vehicle along the road segment and a plurality of predetermined landmarks associated with the road segment, wherein the plurality of predetermined landmarks are spaced apart by at least 50 meters. The sparse map has a data density of no more than 1 megabyte per kilometer.</description><language>eng</language><subject>GYROSCOPIC INSTRUMENTS ; MEASURING ; MEASURING DISTANCES, LEVELS OR BEARINGS ; NAVIGATION ; PHOTOGRAMMETRY OR VIDEOGRAMMETRY ; PHYSICS ; SURVEYING ; TESTING</subject><creationdate>2021</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&date=20210902&DB=EPODOC&CC=AU&NR=2016219343B2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25563,76318</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210902&DB=EPODOC&CC=AU&NR=2016219343B2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Braunstein, Daniel</creatorcontrib><creatorcontrib>Springer, Ofer</creatorcontrib><creatorcontrib>Buberman, Ori</creatorcontrib><creatorcontrib>Hayon, Gaby</creatorcontrib><creatorcontrib>Rubinsky, Sergey</creatorcontrib><creatorcontrib>Gdalyahu, Yoram</creatorcontrib><creatorcontrib>Stein, Gideon</creatorcontrib><creatorcontrib>Ferencz, Andras</creatorcontrib><creatorcontrib>Taieb, Yoav</creatorcontrib><creatorcontrib>Shashua, Amnon</creatorcontrib><creatorcontrib>Reisman, Aran</creatorcontrib><creatorcontrib>Huberman, David</creatorcontrib><creatorcontrib>Tubis, Igor</creatorcontrib><creatorcontrib>Shalev-Shwartz, Shai</creatorcontrib><creatorcontrib>Aviel, Yuval</creatorcontrib><creatorcontrib>Bellaiche, Levi</creatorcontrib><title>Sparse map for autonomous vehicle navigation</title><description>Systems and methods are provided for constructing, using, and updating the sparse map for autonomous vehicle navigation. In one implementation, a non-transitory computer-readable medium includes a sparse map for autonomous vehicle navigation along a road segment. The sparse map includes a polynomial representation of a target trajectory for the autonomous vehicle along the road segment and a plurality of predetermined landmarks associated with the road segment, wherein the plurality of predetermined landmarks are spaced apart by at least 50 meters. The sparse map has a data density of no more than 1 megabyte per kilometer.</description><subject>GYROSCOPIC INSTRUMENTS</subject><subject>MEASURING</subject><subject>MEASURING DISTANCES, LEVELS OR BEARINGS</subject><subject>NAVIGATION</subject><subject>PHOTOGRAMMETRY OR VIDEOGRAMMETRY</subject><subject>PHYSICS</subject><subject>SURVEYING</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZNAJLkgsKk5VyE0sUEjLL1JILC3Jz8vPzS8tVihLzchMzklVyEssy0xPLMnMz-NhYE1LzClO5YXS3Awqbq4hzh66qQX58anFBYnJqXmpJfGOoUYGhmZGhpbGJsZOTkbGRCoDAKkjK2g</recordid><startdate>20210902</startdate><enddate>20210902</enddate><creator>Braunstein, Daniel</creator><creator>Springer, Ofer</creator><creator>Buberman, Ori</creator><creator>Hayon, Gaby</creator><creator>Rubinsky, Sergey</creator><creator>Gdalyahu, Yoram</creator><creator>Stein, Gideon</creator><creator>Ferencz, Andras</creator><creator>Taieb, Yoav</creator><creator>Shashua, Amnon</creator><creator>Reisman, Aran</creator><creator>Huberman, David</creator><creator>Tubis, Igor</creator><creator>Shalev-Shwartz, Shai</creator><creator>Aviel, Yuval</creator><creator>Bellaiche, Levi</creator><scope>EVB</scope></search><sort><creationdate>20210902</creationdate><title>Sparse map for autonomous vehicle navigation</title><author>Braunstein, Daniel ; Springer, Ofer ; Buberman, Ori ; Hayon, Gaby ; Rubinsky, Sergey ; Gdalyahu, Yoram ; Stein, Gideon ; Ferencz, Andras ; Taieb, Yoav ; Shashua, Amnon ; Reisman, Aran ; Huberman, David ; Tubis, Igor ; Shalev-Shwartz, Shai ; Aviel, Yuval ; Bellaiche, Levi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_AU2016219343BB23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2021</creationdate><topic>GYROSCOPIC INSTRUMENTS</topic><topic>MEASURING</topic><topic>MEASURING DISTANCES, LEVELS OR BEARINGS</topic><topic>NAVIGATION</topic><topic>PHOTOGRAMMETRY OR VIDEOGRAMMETRY</topic><topic>PHYSICS</topic><topic>SURVEYING</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>Braunstein, Daniel</creatorcontrib><creatorcontrib>Springer, Ofer</creatorcontrib><creatorcontrib>Buberman, Ori</creatorcontrib><creatorcontrib>Hayon, Gaby</creatorcontrib><creatorcontrib>Rubinsky, Sergey</creatorcontrib><creatorcontrib>Gdalyahu, Yoram</creatorcontrib><creatorcontrib>Stein, Gideon</creatorcontrib><creatorcontrib>Ferencz, Andras</creatorcontrib><creatorcontrib>Taieb, Yoav</creatorcontrib><creatorcontrib>Shashua, Amnon</creatorcontrib><creatorcontrib>Reisman, Aran</creatorcontrib><creatorcontrib>Huberman, David</creatorcontrib><creatorcontrib>Tubis, Igor</creatorcontrib><creatorcontrib>Shalev-Shwartz, Shai</creatorcontrib><creatorcontrib>Aviel, Yuval</creatorcontrib><creatorcontrib>Bellaiche, Levi</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Braunstein, Daniel</au><au>Springer, Ofer</au><au>Buberman, Ori</au><au>Hayon, Gaby</au><au>Rubinsky, Sergey</au><au>Gdalyahu, Yoram</au><au>Stein, Gideon</au><au>Ferencz, Andras</au><au>Taieb, Yoav</au><au>Shashua, Amnon</au><au>Reisman, Aran</au><au>Huberman, David</au><au>Tubis, Igor</au><au>Shalev-Shwartz, Shai</au><au>Aviel, Yuval</au><au>Bellaiche, Levi</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Sparse map for autonomous vehicle navigation</title><date>2021-09-02</date><risdate>2021</risdate><abstract>Systems and methods are provided for constructing, using, and updating the sparse map for autonomous vehicle navigation. In one implementation, a non-transitory computer-readable medium includes a sparse map for autonomous vehicle navigation along a road segment. The sparse map includes a polynomial representation of a target trajectory for the autonomous vehicle along the road segment and a plurality of predetermined landmarks associated with the road segment, wherein the plurality of predetermined landmarks are spaced apart by at least 50 meters. The sparse map has a data density of no more than 1 megabyte per kilometer.</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | eng |
recordid | cdi_epo_espacenet_AU2016219343BB2 |
source | esp@cenet |
subjects | GYROSCOPIC INSTRUMENTS MEASURING MEASURING DISTANCES, LEVELS OR BEARINGS NAVIGATION PHOTOGRAMMETRY OR VIDEOGRAMMETRY PHYSICS SURVEYING TESTING |
title | Sparse map for autonomous vehicle navigation |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-10T22%3A53%3A22IST&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=Braunstein,%20Daniel&rft.date=2021-09-02&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EAU2016219343BB2%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 |