OBJECT DETECTION APPARATUS BASED ON NEURAL NETWORK LEARNING AND METHOD OF THE SAME
Provided are an apparatus for detecting an object based on neural network learning and a method thereof which can effectively learn learning data for deep learning. To this end, the apparatus for detecting an object based on neural network learning comprises: a plurality of lidar units wherein a par...
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| creator | SUHYUNG KIM HYEONGJUN JANG YUSNAG PARK YUNSUNG NOH JAENAM YU KIHONG PARK TAEWON AHN JUHYEOK RA |
| description | Provided are an apparatus for detecting an object based on neural network learning and a method thereof which can effectively learn learning data for deep learning. To this end, the apparatus for detecting an object based on neural network learning comprises: a plurality of lidar units wherein a part of the lidar units collects first plane data by scanning a front object in a first direction and another part of the lidar units collects second plane data by scanning the front object in a second direction; and a neural network learning unit for performing neural network learning for the front object based on the first plane data and the second plane data.
신경망 학습 기반의 객체 검출 장치는 전방 객체에 관해 일부는 제1 방향으로 스캐닝을 수행하여 제1 평면 데이터를 수집하고 다른 일부는 제2 방향으로 스캐닝을 수행하여 제2 평면 데이터를 수집하는 복수의 라이다부들 및 상기 제1 및 제2 평면 데이터들을 기초로 상기 전방 객체에 관한 신경망 학습을 수행하는 신경망 학습부를 포함한다. |
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신경망 학습 기반의 객체 검출 장치는 전방 객체에 관해 일부는 제1 방향으로 스캐닝을 수행하여 제1 평면 데이터를 수집하고 다른 일부는 제2 방향으로 스캐닝을 수행하여 제2 평면 데이터를 수집하는 복수의 라이다부들 및 상기 제1 및 제2 평면 데이터들을 기초로 상기 전방 객체에 관한 신경망 학습을 수행하는 신경망 학습부를 포함한다.</description><language>eng ; kor</language><subject>ANALOGOUS ARRANGEMENTS USING OTHER WAVES ; CALCULATING ; COMPUTING ; COUNTING ; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES ; HANDLING RECORD CARRIERS ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES ; MEASURING ; PHYSICS ; PRESENTATION OF DATA ; RADIO DIRECTION-FINDING ; RADIO NAVIGATION ; RECOGNITION OF DATA ; RECORD CARRIERS ; TESTING</subject><creationdate>2019</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=20190401&DB=EPODOC&CC=KR&NR=101964100B1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20190401&DB=EPODOC&CC=KR&NR=101964100B1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>SUHYUNG KIM</creatorcontrib><creatorcontrib>HYEONGJUN JANG</creatorcontrib><creatorcontrib>YUSNAG PARK</creatorcontrib><creatorcontrib>YUNSUNG NOH</creatorcontrib><creatorcontrib>JAENAM YU</creatorcontrib><creatorcontrib>KIHONG PARK</creatorcontrib><creatorcontrib>TAEWON AHN</creatorcontrib><creatorcontrib>JUHYEOK RA</creatorcontrib><title>OBJECT DETECTION APPARATUS BASED ON NEURAL NETWORK LEARNING AND METHOD OF THE SAME</title><description>Provided are an apparatus for detecting an object based on neural network learning and a method thereof which can effectively learn learning data for deep learning. To this end, the apparatus for detecting an object based on neural network learning comprises: a plurality of lidar units wherein a part of the lidar units collects first plane data by scanning a front object in a first direction and another part of the lidar units collects second plane data by scanning the front object in a second direction; and a neural network learning unit for performing neural network learning for the front object based on the first plane data and the second plane data.
신경망 학습 기반의 객체 검출 장치는 전방 객체에 관해 일부는 제1 방향으로 스캐닝을 수행하여 제1 평면 데이터를 수집하고 다른 일부는 제2 방향으로 스캐닝을 수행하여 제2 평면 데이터를 수집하는 복수의 라이다부들 및 상기 제1 및 제2 평면 데이터들을 기초로 상기 전방 객체에 관한 신경망 학습을 수행하는 신경망 학습부를 포함한다.</description><subject>ANALOGOUS ARRANGEMENTS USING OTHER WAVES</subject><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES</subject><subject>HANDLING RECORD CARRIERS</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES</subject><subject>MEASURING</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RADIO DIRECTION-FINDING</subject><subject>RADIO NAVIGATION</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2019</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyrEKwjAQgOEsDqK-w0FnIUERHC_N1dS2SUmuOJYicRIt1PfHDD6A0wc__1oEr69UMhjiTO0dYN9jQB4iaIxkICdHQ8A2wzcfGmgJg6vdBdAZ6Iitz1cFbAkidrQVq8f0XNLu50YUFXFp92l-j2mZp3t6pc_YBCXV-XRUUmqtDv9dX2NLMB0</recordid><startdate>20190401</startdate><enddate>20190401</enddate><creator>SUHYUNG KIM</creator><creator>HYEONGJUN JANG</creator><creator>YUSNAG PARK</creator><creator>YUNSUNG NOH</creator><creator>JAENAM YU</creator><creator>KIHONG PARK</creator><creator>TAEWON AHN</creator><creator>JUHYEOK RA</creator><scope>EVB</scope></search><sort><creationdate>20190401</creationdate><title>OBJECT DETECTION APPARATUS BASED ON NEURAL NETWORK LEARNING AND METHOD OF THE SAME</title><author>SUHYUNG KIM ; HYEONGJUN JANG ; YUSNAG PARK ; YUNSUNG NOH ; JAENAM YU ; KIHONG PARK ; TAEWON AHN ; JUHYEOK RA</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_KR101964100BB13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; kor</language><creationdate>2019</creationdate><topic>ANALOGOUS ARRANGEMENTS USING OTHER WAVES</topic><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES</topic><topic>HANDLING RECORD CARRIERS</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES</topic><topic>MEASURING</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RADIO DIRECTION-FINDING</topic><topic>RADIO NAVIGATION</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>SUHYUNG KIM</creatorcontrib><creatorcontrib>HYEONGJUN JANG</creatorcontrib><creatorcontrib>YUSNAG PARK</creatorcontrib><creatorcontrib>YUNSUNG NOH</creatorcontrib><creatorcontrib>JAENAM YU</creatorcontrib><creatorcontrib>KIHONG PARK</creatorcontrib><creatorcontrib>TAEWON AHN</creatorcontrib><creatorcontrib>JUHYEOK RA</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>SUHYUNG KIM</au><au>HYEONGJUN JANG</au><au>YUSNAG PARK</au><au>YUNSUNG NOH</au><au>JAENAM YU</au><au>KIHONG PARK</au><au>TAEWON AHN</au><au>JUHYEOK RA</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>OBJECT DETECTION APPARATUS BASED ON NEURAL NETWORK LEARNING AND METHOD OF THE SAME</title><date>2019-04-01</date><risdate>2019</risdate><abstract>Provided are an apparatus for detecting an object based on neural network learning and a method thereof which can effectively learn learning data for deep learning. To this end, the apparatus for detecting an object based on neural network learning comprises: a plurality of lidar units wherein a part of the lidar units collects first plane data by scanning a front object in a first direction and another part of the lidar units collects second plane data by scanning the front object in a second direction; and a neural network learning unit for performing neural network learning for the front object based on the first plane data and the second plane data.
신경망 학습 기반의 객체 검출 장치는 전방 객체에 관해 일부는 제1 방향으로 스캐닝을 수행하여 제1 평면 데이터를 수집하고 다른 일부는 제2 방향으로 스캐닝을 수행하여 제2 평면 데이터를 수집하는 복수의 라이다부들 및 상기 제1 및 제2 평면 데이터들을 기초로 상기 전방 객체에 관한 신경망 학습을 수행하는 신경망 학습부를 포함한다.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | ANALOGOUS ARRANGEMENTS USING OTHER WAVES CALCULATING COMPUTING COUNTING DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES HANDLING RECORD CARRIERS IMAGE DATA PROCESSING OR GENERATION, IN GENERAL LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES MEASURING PHYSICS PRESENTATION OF DATA RADIO DIRECTION-FINDING RADIO NAVIGATION RECOGNITION OF DATA RECORD CARRIERS TESTING |
| title | OBJECT DETECTION APPARATUS BASED ON NEURAL NETWORK LEARNING AND METHOD OF THE SAME |
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