Object recognition method and device, object recognition equipment and storage medium
The embodiment of the invention provides an object recognition method and device, object recognition equipment and a storage medium. The object identification method comprises the steps: acquiring vehicle driving data, image data and first data of an automatic driving vehicle, wherein the first data...
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Patent |
Sprache: | chi ; 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 | ZHAO YINMEI NIE YONGZHONG |
description | The embodiment of the invention provides an object recognition method and device, object recognition equipment and a storage medium. The object identification method comprises the steps: acquiring vehicle driving data, image data and first data of an automatic driving vehicle, wherein the first data is acquired by a laser radar; and inputting the vehicle driving data, the image data and the firstdata into a preset fusion recognition model to obtain an object recognition result of the automatic driving vehicle, wherein the preset fusion recognition model comprises Kalman filtering and a neuralnetwork. According to the object identification method provided by the embodiment of the invention, the accuracy of the object identification method can be improved.
本申请实施例提供了一种物体识别方法、装置、物体识别设备及存储介质。物体识别方法,包括:获取自动驾驶车辆的车辆行驶数据、图像数据、第一数据;其中,第一数据由激光雷达采集;将车辆行驶数据、图像数据、第一数据输入预设融合识别模型,得到自动驾驶车辆的物体识别结果;其中,预设融合识别模型包括卡尔曼滤波和神经网络。根据本申请实施例的物体识别方法,可以提高物体识别方法的准确性。 |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN112307890A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN112307890A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN112307890A3</originalsourceid><addsrcrecordid>eNrjZAj1T8pKTS5RKEpNzk_PyyzJzM9TyE0tychPUUjMS1FISS3LTE7VUcjHVJVaWJpZkJuaVwJWWFySX5SYngrUm5JZmsvDwJqWmFOcyguluRkU3VxDnD10Uwvy41OLCxKTU_NSS-Kd_QwNjYwNzC0sDRyNiVEDAO0uOVs</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Object recognition method and device, object recognition equipment and storage medium</title><source>esp@cenet</source><creator>ZHAO YINMEI ; NIE YONGZHONG</creator><creatorcontrib>ZHAO YINMEI ; NIE YONGZHONG</creatorcontrib><description>The embodiment of the invention provides an object recognition method and device, object recognition equipment and a storage medium. The object identification method comprises the steps: acquiring vehicle driving data, image data and first data of an automatic driving vehicle, wherein the first data is acquired by a laser radar; and inputting the vehicle driving data, the image data and the firstdata into a preset fusion recognition model to obtain an object recognition result of the automatic driving vehicle, wherein the preset fusion recognition model comprises Kalman filtering and a neuralnetwork. According to the object identification method provided by the embodiment of the invention, the accuracy of the object identification method can be improved.
本申请实施例提供了一种物体识别方法、装置、物体识别设备及存储介质。物体识别方法,包括:获取自动驾驶车辆的车辆行驶数据、图像数据、第一数据;其中,第一数据由激光雷达采集;将车辆行驶数据、图像数据、第一数据输入预设融合识别模型,得到自动驾驶车辆的物体识别结果;其中,预设融合识别模型包括卡尔曼滤波和神经网络。根据本申请实施例的物体识别方法,可以提高物体识别方法的准确性。</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</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=20210202&DB=EPODOC&CC=CN&NR=112307890A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25544,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210202&DB=EPODOC&CC=CN&NR=112307890A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZHAO YINMEI</creatorcontrib><creatorcontrib>NIE YONGZHONG</creatorcontrib><title>Object recognition method and device, object recognition equipment and storage medium</title><description>The embodiment of the invention provides an object recognition method and device, object recognition equipment and a storage medium. The object identification method comprises the steps: acquiring vehicle driving data, image data and first data of an automatic driving vehicle, wherein the first data is acquired by a laser radar; and inputting the vehicle driving data, the image data and the firstdata into a preset fusion recognition model to obtain an object recognition result of the automatic driving vehicle, wherein the preset fusion recognition model comprises Kalman filtering and a neuralnetwork. According to the object identification method provided by the embodiment of the invention, the accuracy of the object identification method can be improved.
本申请实施例提供了一种物体识别方法、装置、物体识别设备及存储介质。物体识别方法,包括:获取自动驾驶车辆的车辆行驶数据、图像数据、第一数据;其中,第一数据由激光雷达采集;将车辆行驶数据、图像数据、第一数据输入预设融合识别模型,得到自动驾驶车辆的物体识别结果;其中,预设融合识别模型包括卡尔曼滤波和神经网络。根据本申请实施例的物体识别方法,可以提高物体识别方法的准确性。</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZAj1T8pKTS5RKEpNzk_PyyzJzM9TyE0tychPUUjMS1FISS3LTE7VUcjHVJVaWJpZkJuaVwJWWFySX5SYngrUm5JZmsvDwJqWmFOcyguluRkU3VxDnD10Uwvy41OLCxKTU_NSS-Kd_QwNjYwNzC0sDRyNiVEDAO0uOVs</recordid><startdate>20210202</startdate><enddate>20210202</enddate><creator>ZHAO YINMEI</creator><creator>NIE YONGZHONG</creator><scope>EVB</scope></search><sort><creationdate>20210202</creationdate><title>Object recognition method and device, object recognition equipment and storage medium</title><author>ZHAO YINMEI ; NIE YONGZHONG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN112307890A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>ZHAO YINMEI</creatorcontrib><creatorcontrib>NIE YONGZHONG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ZHAO YINMEI</au><au>NIE YONGZHONG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Object recognition method and device, object recognition equipment and storage medium</title><date>2021-02-02</date><risdate>2021</risdate><abstract>The embodiment of the invention provides an object recognition method and device, object recognition equipment and a storage medium. The object identification method comprises the steps: acquiring vehicle driving data, image data and first data of an automatic driving vehicle, wherein the first data is acquired by a laser radar; and inputting the vehicle driving data, the image data and the firstdata into a preset fusion recognition model to obtain an object recognition result of the automatic driving vehicle, wherein the preset fusion recognition model comprises Kalman filtering and a neuralnetwork. According to the object identification method provided by the embodiment of the invention, the accuracy of the object identification method can be improved.
本申请实施例提供了一种物体识别方法、装置、物体识别设备及存储介质。物体识别方法,包括:获取自动驾驶车辆的车辆行驶数据、图像数据、第一数据;其中,第一数据由激光雷达采集;将车辆行驶数据、图像数据、第一数据输入预设融合识别模型,得到自动驾驶车辆的物体识别结果;其中,预设融合识别模型包括卡尔曼滤波和神经网络。根据本申请实施例的物体识别方法,可以提高物体识别方法的准确性。</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | chi ; eng |
recordid | cdi_epo_espacenet_CN112307890A |
source | esp@cenet |
subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
title | Object recognition method and device, object recognition equipment and storage medium |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T19%3A52%3A36IST&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=ZHAO%20YINMEI&rft.date=2021-02-02&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN112307890A%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 |