Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 권성경 | - |
dc.contributor.author | 현유진 | - |
dc.contributor.author | 이진희 | - |
dc.contributor.author | 이종훈 | - |
dc.contributor.author | 손상혁 | - |
dc.date.accessioned | 2020-02-25T02:50:27Z | - |
dc.date.available | 2020-02-25T02:50:27Z | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11750/11183 | - |
dc.description.abstract |
| - |
dc.title | 저해상도 2D 라이다 센서를 이용한 사람 탐지 장치 및 방법 | - |
dc.title.alternative | HUMAN DETECTION APPARATUS AND METHOD USING LOW-RESOLUTION TWO-DIMENSIONAL | - |
dc.type | Patent | - |
dc.publisher.country | US | - |
dc.identifier.patentApplicationNumber | 15-618877 | - |
dc.date.application | 2017-06-09 | - |
dc.identifier.patentRegistrationNumber | 10-366-282 | - |
dc.date.registration | 2019-07-30 | - |
dc.contributor.assignee | (재)대구경북과학기술원(100/100) | - |
dc.description.claim | 1. A human detection method performed by a processor using a light detection and ranging (LIDAR) sensor, the human detection method comprising: receiving LIDAR data generated by reflecting a laser signal that continues to be transmitted to a search region from a plurality of objects in the search region;clustering a plurality of points included in the received LIDAR data by the same objects based on a correlation between the plurality of points;deriving a characteristic function based on the clustered points, the characteristic function being used to identify a shape of a human; anddetermining whether each of the objects is a human based on the derived characteristic function. | - |
dc.type.iprs | 특허 | - |
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