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公开(公告)号：US20230056581A1
公开(公告)日：2023-02-23
申请号：US17532089
申请日：2021-11-22
Inventor： Yoo-Seung SONG , Joo-Young KIM , Kyoung-Wook MIN , Yong-Woo JO , Jeong-Dan CHOI
Abstract: Disclosed herein are a cooperative driving method based on driving negotiation and an apparatus for the same. The cooperative driving method is performed by a cooperative driving apparatus for cooperative driving based on driving negotiation, and includes determining whether cooperative driving is possible in consideration of a driving mission of a requesting vehicle that requests cooperative driving with neighboring vehicles, when it is determined that cooperative driving is possible, setting a responding vehicle from which cooperative driving is to be requested among the neighboring vehicles, performing driving negotiation between the requesting vehicle and the responding vehicle based on a driving negotiation protocol, and when the driving negotiation is completed, performing cooperative driving by providing driving guidance information for vehicle control to at least one of the requesting vehicle and the responding vehicle.
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2.发明申请公开(公告)号：US20180262881A1
公开(公告)日：2018-09-13
申请号：US15674939
申请日：2017-08-11
Inventor： Myung-In JI , Young-Su CHO , Joo-Young KIM , Ju-ll JEON , Sang-Joon PARK
IPC: H04W4/02
Abstract: Disclosed herein are a user-participation data selection apparatus and method for updating a positioning infrastructure DB. The user user-participation data selection apparatus includes a data communication unit for transmitting and receiving user-participation data, a movement path reconstruction unit for reconstructing an entire information movement path corresponding to the user-participation data using all information included in the user-participation data, a reliability calculation unit for calculating reliability corresponding to the entire information movement path, and a data selection unit for selecting update-use data for updating a positioning infrastructure DB based on the reliability.
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公开(公告)号：US20170132248A1
公开(公告)日：2017-05-11
申请号：US15154280
申请日：2016-05-13
Inventor： Joo-Young KIM , Myung-In JI , Ju-Il JEON , Young-Su CHO
Abstract: An apparatus for creating a link-type grid fingerprint database includes a collected data processing unit for receiving positioning resource information collected from a link, which represents a path along which a pedestrian can move in an indoor space, and storing the positioning resource information in a collection DB, and a database creation unit for creating a link-type fingerprint database based on the positioning resource information and information about the link, stored in the collection DB, and storing the created link-type grid fingerprint database in a positioning DB.
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4.发明申请公开(公告)号：US20160337804A1
公开(公告)日：2016-11-17
申请号：US15072240
申请日：2016-03-16
Inventor： Joo-Young KIM , Seung-Yong LEE , Young-Su CHO , Myung-In JI , Sang-Joon PARK , Sung-Woong SHIN
IPC: H04W4/02
Abstract: Disclosed herein are a positioning environment analysis apparatus, and a method and system for predicting location determination performance of a terminal. The presented system includes one or more collection devices for acquiring collected data that includes information about positioning resources for respective points, an LBS platform including a collection server for receiving the collected data from the one or more collection devices, and arranging and storing the collected data in a DB, and a positioning DB creation device for analyzing and processing the positioning resource information and creating a positioning DB to be used for location determination, and a positioning environment analysis apparatus for loading environment analysis data from one or more of the collection server, the positioning DB, and a user terminal, and evaluating and predicting, based on the environment analysis data, location determination performance values for respective points in a service area, for respective positioning resources.
Abstract translation: 这里公开了一种定位环境分析装置，以及用于预测终端的位置确定性能的方法和系统。 所呈现的系统包括一个或多个收集装置，用于采集收集的数据，其包括关于各个点的定位资源的信息; LBS平台，包括用于从一个或多个收集装置接收所收集的数据的收集服务器，以及布置和存储所收集的数据 以及用于分析和处理定位资源信息并创建用于位置确定的定位DB的定位DB创建装置，以及用于从一个或多个收集服务器加载环境分析数据的定位环境分析装置， 定位DB和用户终端，并且基于环境分析数据，评估和预测针对各个定位资源的服务区域中的各个点的位置确定性能值。
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公开(公告)号：US20190132701A1
公开(公告)日：2019-05-02
申请号：US16176697
申请日：2018-10-31
Inventor： Jae-Hyuk CHOI , Joo-Young KIM , Young-Su CHO , Myung-In JI
Abstract: Disclosed herein are a mobile-communication-based navigation service method for supporting emergency rescue and a service server using the method. The present invention relates to provision of an interactive navigation service between a rescuer and a person who needs to be rescued in a mobile-communication-based navigation service method for supporting emergency rescue.
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Patent Agency Ranking
公开(公告)号：US20150201303A1
公开(公告)日：2015-07-16
申请号：US14595335
申请日：2015-01-13
Inventor： Myung-In JI , Young-Su CHO , Joo-Young KIM , Yang-Koo LEE , Sang-Joon PARK , Jong-Hyun PARK
IPC: H04W4/02
Abstract: Disclosed herein is an apparatus and method for correcting the location of a base station. The apparatus includes a data collection unit for receiving collected data including collection places and scan data acquired from the collection places from a collection-only terminal, and receiving scan data having no collection places from a user service terminal. A determination unit obtains correlations between respective base stations based on a number of times each base station in an identical search group is found in a search using the collected data or the scan data, and determines whether a base station has been moved, deleted or added, based on the correlations between respective base stations. A location specification unit specifies a location of the corresponding base station that has changed due to any one of the movement, deletion, and addition of the base station, based on results of the determination.
Abstract translation: 这里公开了一种用于校正基站的位置的装置和方法。 该装置包括：数据收集单元，用于从收集站终端接收收集位置和从收集位置获取的扫描数据的收集数据，以及从用户服务终端接收没有收集位置的扫描数据。 确定单元基于使用所收集的数据或扫描数据在搜索中找到相同搜索组中的每个基站的次数来获得各个基站之间的相关性，并且确定基站是否被移动，删除或添加 基于各基站之间的相关性。 位置指定单元基于确定的结果指定由于基站的移动，删除和添加中的任何一个而改变的相应基站的位置。
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公开(公告)号：US20230053134A1
公开(公告)日：2023-02-16
申请号：US17886198
申请日：2022-08-11
Inventor： Joo-Young KIM , Kyoung-Wook Min , Yong-Woo Jo , Doo-Seop Choi , Jeong-Dan Choi
Abstract: Disclosed herein are a deep network learning method using an autonomous vehicle and an apparatus for the same. The deep network learning apparatus includes a processor configured to select a deep network model requiring an update in consideration of performance, assign learning amounts for respective vehicles in consideration of respective operation patterns of multiple autonomous vehicles registered through user authentication, distribute the deep network model and the learning data to the multiple autonomous vehicles based on the learning amounts for respective vehicles, and receive learning results from the multiple autonomous vehicles, and memory configured to store the deep network model and the learning data.
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公开(公告)号：US20220164609A1
公开(公告)日：2022-05-26
申请号：US17380663
申请日：2021-07-20
Inventor： Dong-Jin LEE , Do-Wook KANG , Jungyu KANG , Joo-Young KIM , Kyoung-Wook MIN , Jae-Hyuck PARK , Kyung-Bok SUNG , Yoo-Seung SONG , Taeg-Hyun AN , Yong-Woo JO , Doo-Seop CHOI , Jeong-Dan CHOI , Seung-Jun HAN
Abstract: Disclosed herein are an object recognition apparatus of an automated driving system using error removal based on object classification and a method using the same. The object recognition method is configured to train a multi-object classification model based on deep learning using training data including a data set corresponding to a noise class, into which a false-positive object is classified, among classes classified by the types of objects, to acquire a point cloud and image data respectively using a LiDAR sensor and a camera provided in an autonomous vehicle, to extract a crop image, corresponding to at least one object recognized based on the point cloud, from the image data and input the same to the multi-object classification model, and to remove a false-positive object classified into the noise class, among the at least one object, by the multi-object classification model.
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公开(公告)号：US20170248428A1
公开(公告)日：2017-08-31
申请号：US15441481
申请日：2017-02-24
Inventor： Young-Su CHO , Jae-Hyuk CHOI , Joo-Young KIM , Myung-In JI
CPC classification number: G01C21/206 , G01C21/08 , H04W4/026 , H04W4/027 , H04W4/33
Abstract: Disclosed herein are an indoor positioning system and method. The indoor positioning method includes generating measurement information by measuring a geomagnetic field generated from a ferromagnetic substance present in indoor space, and a slope of a user terminal device, generating declination angle information and inclination angle information using the measurement information, generating true north navigation coordinate system-based geomagnetic field vector information using the declination angle information and the inclination angle information, receiving geomagnetic field heatmap information, generated using collection information that is collected at indoor reference locations, and performing indoor positioning based on the true north navigation coordinate system-based geomagnetic field vector information and the geomagnetic field heatmap information.
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10.发明申请公开(公告)号：US20170201865A1
公开(公告)日：2017-07-13
申请号：US15401585
申请日：2017-01-09
Inventor： Young-Su CHO , Joo-Young KIM , Ju-Il JEON , Myung-In JI
CPC classification number: H04W4/026 , H04L41/145
Abstract: Disclosed herein are a location estimation apparatus and method using a combination of different positioning resources. The location estimation apparatus includes a motion model generation unit for generating a motion model corresponding to a state variable of a terminal based on a current time, a weight calculation unit for extracting a dynamic location database (DB) from a location DB based on multiple pieces of measurement information received from the terminal, and calculating a weight proportional to a likelihood of the multiple pieces of measurement information based on the dynamic location DB, and a location estimation unit for estimating a location and direction of the terminal by applying the weight to at least one sample value corresponding to the motion model.
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