Machine learning-based parking lot parking space state recognition method and system
The invention relates to a machine learning-based parking lot parking space state recognition method and system. The method includes the steps that: the specific installation positions of cameras aredetermined according to the size information of the specific parking spaces of a parking lot; the cam...
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| creator | MOU XIAODONG WANG YUEDUI WANG GUANGCHENG |
| description | The invention relates to a machine learning-based parking lot parking space state recognition method and system. The method includes the steps that: the specific installation positions of cameras aredetermined according to the size information of the specific parking spaces of a parking lot; the cameras capture the images of the parking lot in real time, target parking spaces are marked, and marked image data are stored; all vehicles are marked in the stored image data, the marked image data are learned, a parking space map model, a vehicle identification model, and a non-vehicle object modelare established, and feedback is performed continuously, so that the models can be optimized; and the three established models are compared with image data which are acquired in real time, so that arecognition result can be obtained; the recognition result is converted into parking space real-time state information, and the parking space real-time state information is sent to users, and the parking space state information |
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The method includes the steps that: the specific installation positions of cameras aredetermined according to the size information of the specific parking spaces of a parking lot; the cameras capture the images of the parking lot in real time, target parking spaces are marked, and marked image data are stored; all vehicles are marked in the stored image data, the marked image data are learned, a parking space map model, a vehicle identification model, and a non-vehicle object modelare established, and feedback is performed continuously, so that the models can be optimized; and the three established models are compared with image data which are acquired in real time, so that arecognition result can be obtained; the recognition result is converted into parking space real-time state information, and the parking space real-time state information is sent to users, and the parking space state information</description><language>chi ; eng</language><subject>ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRICITY ; PHYSICS ; PICTORIAL COMMUNICATION, e.g. TELEVISION ; SIGNALLING ; TRAFFIC CONTROL SYSTEMS</subject><creationdate>2018</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=20181106&DB=EPODOC&CC=CN&NR=108766022A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20181106&DB=EPODOC&CC=CN&NR=108766022A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>MOU XIAODONG</creatorcontrib><creatorcontrib>WANG YUEDUI</creatorcontrib><creatorcontrib>WANG GUANGCHENG</creatorcontrib><title>Machine learning-based parking lot parking space state recognition method and system</title><description>The invention relates to a machine learning-based parking lot parking space state recognition method and system. 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The method includes the steps that: the specific installation positions of cameras aredetermined according to the size information of the specific parking spaces of a parking lot; the cameras capture the images of the parking lot in real time, target parking spaces are marked, and marked image data are stored; all vehicles are marked in the stored image data, the marked image data are learned, a parking space map model, a vehicle identification model, and a non-vehicle object modelare established, and feedback is performed continuously, so that the models can be optimized; and the three established models are compared with image data which are acquired in real time, so that arecognition result can be obtained; the recognition result is converted into parking space real-time state information, and the parking space real-time state information is sent to users, and the parking space state information</abstract><oa>free_for_read</oa></addata></record> |
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| language | chi ; eng |
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| subjects | ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY PHYSICS PICTORIAL COMMUNICATION, e.g. TELEVISION SIGNALLING TRAFFIC CONTROL SYSTEMS |
| title | Machine learning-based parking lot parking space state recognition method and system |
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