System for constructing and training lane element classifications for autonomous driving vehicles
A lane element classification system for an autonomous driving vehicle includes one or more controllers including a classifier having a neural network that classifies lane elements of a lane map structure based on one or more lane attributes. In one embodiment, one or more controllers execute instru...
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creator | PALIT, ILAN ZOU GUANGYU BACKUS BERNARDUS NICOLAAS RUDOLF LOSH, MICHAEL, A |
description | A lane element classification system for an autonomous driving vehicle includes one or more controllers including a classifier having a neural network that classifies lane elements of a lane map structure based on one or more lane attributes. In one embodiment, one or more controllers execute instructions to construct a neural network. In another embodiment, one or more controllers train a neural network to classify each lane element of the lane map structure.
一种用于自动驾驶车辆的车道元分类系统,包括一个或多个控制器,该控制器包括具有神经网络的分类器,该神经网络基于一个或多个车道属性对车道图结构的车道元进行分类。在一种实施方式中,一个或多个控制器执行指令以构建神经网络。在另一实施例中,一个或多个控制器训练神经网络,以对车道图结构的每个车道元进行分类。 |
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一种用于自动驾驶车辆的车道元分类系统,包括一个或多个控制器,该控制器包括具有神经网络的分类器,该神经网络基于一个或多个车道属性对车道图结构的车道元进行分类。在一种实施方式中,一个或多个控制器执行指令以构建神经网络。在另一实施例中,一个或多个控制器训练神经网络,以对车道图结构的每个车道元进行分类。</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; 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&date=20240802&DB=EPODOC&CC=CN&NR=118427655A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240802&DB=EPODOC&CC=CN&NR=118427655A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>PALIT, ILAN</creatorcontrib><creatorcontrib>ZOU GUANGYU</creatorcontrib><creatorcontrib>BACKUS BERNARDUS NICOLAAS RUDOLF</creatorcontrib><creatorcontrib>LOSH, MICHAEL, A</creatorcontrib><title>System for constructing and training lane element classifications for autonomous driving vehicles</title><description>A lane element classification system for an autonomous driving vehicle includes one or more controllers including a classifier having a neural network that classifies lane elements of a lane map structure based on one or more lane attributes. In one embodiment, one or more controllers execute instructions to construct a neural network. In another embodiment, one or more controllers train a neural network to classify each lane element of the lane map structure.
一种用于自动驾驶车辆的车道元分类系统,包括一个或多个控制器,该控制器包括具有神经网络的分类器,该神经网络基于一个或多个车道属性对车道图结构的车道元进行分类。在一种实施方式中,一个或多个控制器执行指令以构建神经网络。在另一实施例中,一个或多个控制器训练神经网络,以对车道图结构的每个车道元进行分类。</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyzEKwkAQheFtLES9w3gAi6hRWwmKlY32YdjM6sBmNuxMAt5eIx7A6vHD-6YOby81aiGkDD6JWu69sTwApQHLyDJGRCGgSC2JgY-oyoE9Gn_El2JvSVKbeoUm8zCagZ7sI-ncTQJGpcVvZ255Pt2ry4q6VJN26EnI6upaFIfter8ry-Pmn88boHg-5A</recordid><startdate>20240802</startdate><enddate>20240802</enddate><creator>PALIT, ILAN</creator><creator>ZOU GUANGYU</creator><creator>BACKUS BERNARDUS NICOLAAS RUDOLF</creator><creator>LOSH, MICHAEL, A</creator><scope>EVB</scope></search><sort><creationdate>20240802</creationdate><title>System for constructing and training lane element classifications for autonomous driving vehicles</title><author>PALIT, ILAN ; ZOU GUANGYU ; BACKUS BERNARDUS NICOLAAS RUDOLF ; LOSH, MICHAEL, A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN118427655A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>PALIT, ILAN</creatorcontrib><creatorcontrib>ZOU GUANGYU</creatorcontrib><creatorcontrib>BACKUS BERNARDUS NICOLAAS RUDOLF</creatorcontrib><creatorcontrib>LOSH, MICHAEL, A</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>PALIT, ILAN</au><au>ZOU GUANGYU</au><au>BACKUS BERNARDUS NICOLAAS RUDOLF</au><au>LOSH, MICHAEL, A</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>System for constructing and training lane element classifications for autonomous driving vehicles</title><date>2024-08-02</date><risdate>2024</risdate><abstract>A lane element classification system for an autonomous driving vehicle includes one or more controllers including a classifier having a neural network that classifies lane elements of a lane map structure based on one or more lane attributes. In one embodiment, one or more controllers execute instructions to construct a neural network. In another embodiment, one or more controllers train a neural network to classify each lane element of the lane map structure.
一种用于自动驾驶车辆的车道元分类系统,包括一个或多个控制器,该控制器包括具有神经网络的分类器,该神经网络基于一个或多个车道属性对车道图结构的车道元进行分类。在一种实施方式中,一个或多个控制器执行指令以构建神经网络。在另一实施例中,一个或多个控制器训练神经网络,以对车道图结构的每个车道元进行分类。</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
title | System for constructing and training lane element classifications for autonomous driving vehicles |
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