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公开(公告)号：US20230029566A1
公开(公告)日：2023-02-02
申请号：US17873684
申请日：2022-07-26
发明人： Young-il KIM , Seong Hee PARK , Soonyong SONG , Geon Min YEO , Il Woo LEE , Wun-Cheol JEONG , Tae-Wook HEO
摘要： Provided are a method and system for detecting a UAV using a plurality of image sensors. A method of detecting a UAV includes detecting, by each of a plurality of detection image sensors, a UAV in a UAV detection area, transmitting, when the UAV is detected, position information of the detection image sensor detecting the UAV and distance information of the UAV to a classification image sensor, acquiring, by the classification image sensor, a magnified image of the UAV by setting a parameter of a camera of the classification image sensor according to the position information and the distance information, and classifying a type of the UAV by analyzing the magnified image.
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公开(公告)号：US20210218901A1
公开(公告)日：2021-07-15
申请号：US17104289
申请日：2020-11-25
发明人： Young-Il KIM , Seong Hee PARK , Soonyong SONG , Geon Min YEO , Il Woo LEE , Wun-Cheol JEONG , Tae-Wook HEO
摘要： In order to detect an unmanned aerial vehicle (UAV) in a monitoring area using a rotatable camera, an integrated sensor configures a first detection area in the monitoring area by rotating the camera after fixing the focal length of the camera to an initial value, and configures a second detection area in the monitoring area by rotating the camera after changing at least one of the focal length of the camera and a rotation path representing a distance from the origin of the monitoring area.
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公开(公告)号：US20220208013A1
公开(公告)日：2022-06-30
申请号：US17483120
申请日：2021-09-23
发明人： Young-il KIM , Seong Hee PARK , Soonyong SONG , Geon Min YEO , Il Woo LEE , Wun-Cheol JEONG , Tae-Wook HEO
摘要： A method and device for detecting an illegal unmanned aerial vehicle (UAV) using a radio wave wall are provided. The method includes generating a radio wave wall between a plurality of reconnaissance UAVs that include a first reconnaissance UAV and second reconnaissance UAVs, using one or more wireless signals transmitted and received between the plurality of reconnaissance UAVs, and determining whether an illegal UAV enters the radio wave wall based on radio signal strengths of wireless signals received from the second reconnaissance UAVs.
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公开(公告)号：US20210019644A1
公开(公告)日：2021-01-21
申请号：US16929975
申请日：2020-07-15
发明人： Hyunseok KIM , Myung Eun KIM , Seonghyun KIM , Young Sung SON , Jongkwon SON , Soonyong SONG , Donghun LEE , Ingook JANG , Jin Chul CHOI
摘要： A method and an apparatus for exclusive reinforcement learning are provided, comprising: collecting information of states of an environment through the communication interface and performing a statistical analysis on the states using the collected information; determining a first state value of a first state among the states in a training phase and a second state value of a second state among the states in an inference phase based on analysis results of the statistical analysis; performing reinforcement learning by using one reinforcement learning unit of a plurality of reinforcement learning unit which performs reinforcement learnings from different perspectives according to the first state value; and selecting one of actions determined by the plurality of reinforcement learning unit based on the second state value and applying selected action to the environment.
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公开(公告)号：US20210019640A1
公开(公告)日：2021-01-21
申请号：US16922310
申请日：2020-07-07
发明人： Myung Eun KIM , Seonghyun KIM , Hyunseok KIM , Young Sung SON , Jongkwon SON , Soonyong SONG , Donghun LEE , Ingook JANG , Jin Chul CHOI
摘要： An apparatus and method for abnormal situation detection are disclosed. An abnormal situation detection apparatus can map first sensor data among sensor data transmitted from a plurality of sensors into a vector value, convert it into first situation information in the form of an image pattern, and generate a learning model using the first situation information and an abnormal situation reference range. In addition, the abnormal situation detection apparatus can convert second sensor data among sensor data transmitted from a plurality of sensors into a form that can be input to the learning model, and determine whether an abnormal situation occurs by applying the converted second data to the learning model.
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