Systems and methods for vehicle navigation
Systems and methods are provided for vehicle navigation. In one implementation, a host vehicle-based sparse map feature harvester system may include at least one processor programmed to receive a plurality of images captured by a camera onboard the host vehicle as the host vehicle travels along a ro...
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| creator | Gideon Wachtel Raz Cohen Maslaton Yahel Guberman Ofer Fridman Ori Segel Moshe Shenfeld Ofer Springer Yoav Taieb |
| description | Systems and methods are provided for vehicle navigation. In one implementation, a host vehicle-based sparse map feature harvester system may include at least one processor programmed to receive a plurality of images captured by a camera onboard the host vehicle as the host vehicle travels along a road segment in a first direction, wherein the plurality of images are representative of an environment of the host vehicle; detect one or more semantic features represented in one or more of the plurality of images, the one or more semantic features each being associated with a predetermined object type classification; identify at least one position descriptor associated with each of the detected one or more semantic features; identify three-dimensional feature points associated with one or more detected objects represented in at least one of the plurality of images; receive position information, for each of the plurality of images, wherein the position information is indicative of a position of the camera when each of the plurality of images was captured; and cause transmission of drive information for the road segment to an entity remotely-located relative to the host vehicle, wherein the drive information includes the identified at least one position descriptor associated with each of the detected one or more semantic features, the identified three-dimensional feature points, and the position information. |
| format | Patent |
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In one implementation, a host vehicle-based sparse map feature harvester system may include at least one processor programmed to receive a plurality of images captured by a camera onboard the host vehicle as the host vehicle travels along a road segment in a first direction, wherein the plurality of images are representative of an environment of the host vehicle; detect one or more semantic features represented in one or more of the plurality of images, the one or more semantic features each being associated with a predetermined object type classification; identify at least one position descriptor associated with each of the detected one or more semantic features; identify three-dimensional feature points associated with one or more detected objects represented in at least one of the plurality of images; receive position information, for each of the plurality of images, wherein the position information is indicative of a position of the camera when each of the plurality of images was captured; and cause transmission of drive information for the road segment to an entity remotely-located relative to the host vehicle, wherein the drive information includes the identified at least one position descriptor associated with each of the detected one or more semantic features, the identified three-dimensional feature points, and the position information.</description><language>eng</language><subject>ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRICITY ; GYROSCOPIC INSTRUMENTS ; MEASURING ; MEASURING DISTANCES, LEVELS OR BEARINGS ; NAVIGATION ; PHOTOGRAMMETRY OR VIDEOGRAMMETRY ; PHYSICS ; SURVEYING ; TESTING ; WIRELESS COMMUNICATIONS NETWORKS</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&date=20240717&DB=EPODOC&CC=GB&NR=2607744B$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76516</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240717&DB=EPODOC&CC=GB&NR=2607744B$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Gideon Wachtel</creatorcontrib><creatorcontrib>Raz Cohen Maslaton</creatorcontrib><creatorcontrib>Yahel Guberman</creatorcontrib><creatorcontrib>Ofer Fridman</creatorcontrib><creatorcontrib>Ori Segel</creatorcontrib><creatorcontrib>Moshe Shenfeld</creatorcontrib><creatorcontrib>Ofer Springer</creatorcontrib><creatorcontrib>Yoav Taieb</creatorcontrib><title>Systems and methods for vehicle navigation</title><description>Systems and methods are provided for vehicle navigation. In one implementation, a host vehicle-based sparse map feature harvester system may include at least one processor programmed to receive a plurality of images captured by a camera onboard the host vehicle as the host vehicle travels along a road segment in a first direction, wherein the plurality of images are representative of an environment of the host vehicle; detect one or more semantic features represented in one or more of the plurality of images, the one or more semantic features each being associated with a predetermined object type classification; identify at least one position descriptor associated with each of the detected one or more semantic features; identify three-dimensional feature points associated with one or more detected objects represented in at least one of the plurality of images; receive position information, for each of the plurality of images, wherein the position information is indicative of a position of the camera when each of the plurality of images was captured; and cause transmission of drive information for the road segment to an entity remotely-located relative to the host vehicle, wherein the drive information includes the identified at least one position descriptor associated with each of the detected one or more semantic features, the identified three-dimensional feature points, and the position information.</description><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRICITY</subject><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><subject>WIRELESS COMMUNICATIONS NETWORKS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZNAKriwuSc0tVkjMS1HITS3JyE8pVkjLL1IoS83ITM5JVchLLMtMTyzJzM_jYWBNS8wpTuWF0twM8m6uIc4euqkF-fGpxQWJyal5qSXx7k5GZgbm5iYmTsaEVQAAnfooUQ</recordid><startdate>20240717</startdate><enddate>20240717</enddate><creator>Gideon Wachtel</creator><creator>Raz Cohen Maslaton</creator><creator>Yahel Guberman</creator><creator>Ofer Fridman</creator><creator>Ori Segel</creator><creator>Moshe Shenfeld</creator><creator>Ofer Springer</creator><creator>Yoav Taieb</creator><scope>EVB</scope></search><sort><creationdate>20240717</creationdate><title>Systems and methods for vehicle navigation</title><author>Gideon Wachtel ; Raz Cohen Maslaton ; Yahel Guberman ; Ofer Fridman ; Ori Segel ; Moshe Shenfeld ; Ofer Springer ; Yoav Taieb</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_GB2607744B3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2024</creationdate><topic>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRICITY</topic><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><topic>WIRELESS COMMUNICATIONS NETWORKS</topic><toplevel>online_resources</toplevel><creatorcontrib>Gideon Wachtel</creatorcontrib><creatorcontrib>Raz Cohen Maslaton</creatorcontrib><creatorcontrib>Yahel Guberman</creatorcontrib><creatorcontrib>Ofer Fridman</creatorcontrib><creatorcontrib>Ori Segel</creatorcontrib><creatorcontrib>Moshe Shenfeld</creatorcontrib><creatorcontrib>Ofer Springer</creatorcontrib><creatorcontrib>Yoav Taieb</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Gideon Wachtel</au><au>Raz Cohen Maslaton</au><au>Yahel Guberman</au><au>Ofer Fridman</au><au>Ori Segel</au><au>Moshe Shenfeld</au><au>Ofer Springer</au><au>Yoav Taieb</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Systems and methods for vehicle navigation</title><date>2024-07-17</date><risdate>2024</risdate><abstract>Systems and methods are provided for vehicle navigation. In one implementation, a host vehicle-based sparse map feature harvester system may include at least one processor programmed to receive a plurality of images captured by a camera onboard the host vehicle as the host vehicle travels along a road segment in a first direction, wherein the plurality of images are representative of an environment of the host vehicle; detect one or more semantic features represented in one or more of the plurality of images, the one or more semantic features each being associated with a predetermined object type classification; identify at least one position descriptor associated with each of the detected one or more semantic features; identify three-dimensional feature points associated with one or more detected objects represented in at least one of the plurality of images; receive position information, for each of the plurality of images, wherein the position information is indicative of a position of the camera when each of the plurality of images was captured; and cause transmission of drive information for the road segment to an entity remotely-located relative to the host vehicle, wherein the drive information includes the identified at least one position descriptor associated with each of the detected one or more semantic features, the identified three-dimensional feature points, and the position information.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY GYROSCOPIC INSTRUMENTS MEASURING MEASURING DISTANCES, LEVELS OR BEARINGS NAVIGATION PHOTOGRAMMETRY OR VIDEOGRAMMETRY PHYSICS SURVEYING TESTING WIRELESS COMMUNICATIONS NETWORKS |
| title | Systems and methods for vehicle navigation |
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