-
公开(公告)号：US20210174547A1
公开(公告)日：2021-06-10
申请号：US17110853
申请日：2020-12-03
Inventor： Jae Hyuck PARK , Yong Woo JO , Doo Seop CHOI , Kyoung Wook MIN , Jeong Dan CHOI
Abstract: The autonomous driving device including a communication circuit configured to communicate with an unmanned aerial vehicle, a plurality of sensors disposed in the autonomous vehicle to monitor all directions of the autonomous vehicle, and a processor, wherein the processor is configured to: control the unmanned aerial vehicle to hover at each of a plurality of waypoints of a designated flight path by controlling a relative position of the unmanned aerial vehicle through the communication circuit, change a posture angle of the unmanned aerial vehicle to a plurality of posture angles corresponding to the waypoints of the flight path, generate a plurality of images including the checkerboard and corresponding to the plurality of waypoints and the plurality of posture angles through the plurality of sensors, and calibrate the plurality of sensors on the basis of a relationship between matching points of the plurality of images.
-
公开(公告)号：US20200182648A1
公开(公告)日：2020-06-11
申请号：US16698792
申请日：2019-11-27
Inventor： Jung Gyu KANG , Kyoung Wook MIN , Yong Woo JO , Doo Seop CHOI , Jeong Dan CHOI , Dong Jin LEE , Seung Jun HAN
IPC: G01C21/36 , G10L13/04 , G06K9/46 , G06F3/0484
Abstract: Provided is a driving guide system, and more specifically, a system for guiding a vehicle occupant in driving through linguistic description. One embodiment of the present invention is an apparatus for guiding driving with linguistic description of a destination, which is installed on a vehicle and guides driving by outputting a linguistic description of a destination building, wherein the apparatus sets a destination according to a command or input, receives appearance information of a building of the destination from a server, and represents and outputs the appearance information in a linguistic form.
-
公开(公告)号：US20240087225A1
公开(公告)日：2024-03-14
申请号：US18367590
申请日：2023-09-13
Inventor： JinWoo KIM , Ki Tae KIM , MyungWook PARK , Kyoung Hwan AN , Jeong Dan CHOI
CPC classification number: G06T17/05 , G06T3/0093 , G06T7/20 , G06T7/50 , G06V10/44 , G06V20/52 , G06V20/58 , G06T2207/10028 , G06V2201/07
Abstract: The interaction system includes: an infrastructure image sensor-based 3D cloud restoration module configured to create a 3D cloud point using a multi-view image received from an infrastructure sensor; a real-time 3D map creation and learning update module configured to generate subset data composed of point clouds into a 3D map using 3D point information received from the infrastructure image sensor-based 3D cloud restoration module; an object estimation module in a 3D space configured to recognize and track an object existing in a 3D space based on the 3D map received from the real-time 3D map creation and learning update module; and a dangerous situation recognition and interaction module in space configured to receive information on an object existing in the 3D space from the object estimation module in the 3D space, recognize a dangerous situation, and provide dangerous situation related information.
-
公开(公告)号：US20230186645A1
公开(公告)日：2023-06-15
申请号：US17993402
申请日：2022-11-23
Inventor： Do Wook KANG , Jae-Hyuck PARK , Kyoung-Wook MIN , Kyung Bok SUNG , Yoo-Seung SONG , Dong-Jin LEE , Jeong Dan CHOI
CPC classification number: G06V20/584 , B60W40/04 , B60W2554/4046 , B60W2420/52
Abstract: Disclosed is a system performing a method for detecting intersection traffic light information including a traffic light detection module including an image sensor for generating first signal data based on traffic light image data in which a traffic light is included, a communication module that receives second signal data for communication with a surrounding object and an external device, an object information collection module that collects dynamic data of the surrounding object, and a signal information inference module that infers third signal data based on the dynamic data. The dynamic data of the surrounding object includes at least one information of whether the surrounding object moves, a moving direction of the surrounding object, and whether the surrounding object accelerates or decelerates. Each of the signal data includes pieces of information about a type of the traffic light and a signal direction of the traffic light.
-
公开(公告)号：US20230177845A1
公开(公告)日：2023-06-08
申请号：US18073111
申请日：2022-12-01
Inventor： Dong-Jin LEE , Jungyu KANG , Kyoung-Wook MIN , Jeong Dan CHOI , Seung Jun HAN
IPC: G06V20/58 , G06V10/774 , G06T7/70 , G06V20/70
CPC classification number: G06V20/584 , G06V10/774 , G06T7/70 , G06V20/70 , G06T2207/20076 , G06T2207/20081
Abstract: Disclosed is a system for executing a traffic light recognition model learning and inference method, includes a data collection platform including a camera for collecting image data, and a first processor that samples traffic light image data including a traffic light among the image data, generates annotation data based on the traffic light image data, and generates a traffic light data set using the traffic light image data and the annotation data, wherein the traffic light data set includes information on a location of the traffic light, a type of the traffic light, traffic light on/off, and a traffic signal direction of the traffic light.
-
Patent Agency Ranking
16.发明申请公开(公告)号：US20180101172A1
公开(公告)日：2018-04-12
申请号：US15602912
申请日：2017-05-23
Inventor： Kyoung Wook MIN , Jeong Dan CHOI , Jun Gyu KANG , Sang Heon PARK , Kyung Bok SUNG , Joo Chan SOHN , Dong Jin LEE , Yong Woo JO , Seung Jun HAN
CPC classification number: G01C21/32 , G05D1/0287 , G05D2201/0213 , H04W4/023 , H04W4/44 , H04W4/46
Abstract: Provided are an apparatus and method for sharing and learning driving environment data to improve the decision intelligence of an autonomous vehicle. The apparatus for sharing and learning driving environment data to improve the decision intelligence of an autonomous vehicle includes a sensing section which senses surrounding vehicles traveling within a preset distance from the autonomous vehicle, a communicator which transmits and receives data between the autonomous vehicle and another vehicle or a cloud server, a storage which stores precise lane-level map data, and a learning section which generates mapping data centered on the autonomous vehicle by mapping driving environment data of a sensing result of the sensing section to the precise map data, transmits the mapping data to the other vehicle or the cloud server through the communicator, and performs learning for autonomous driving using the mapping data and data received from the other vehicle or the cloud server.
-
公开(公告)号：US20150241880A1
公开(公告)日：2015-08-27
申请号：US14629518
申请日：2015-02-24
Inventor： Jung Sook KIM , Ju Wan KIM , Jeong Dan CHOI
CPC classification number: G05D1/0287 , B60W50/0097 , G05D1/0055 , G08G1/09626 , G08G1/096725 , G08G1/096791 , G08G1/162 , G08G1/163 , G08G1/165 , G08G1/166
Abstract: Provided are an apparatus and method for sharing vehicle information among autonomous vehicles. According to the apparatus and method, not only current driving-related information and future driving-related information of a self vehicle but also current driving-related information and future driving-related information of another vehicle is acquired and used to control travel of the self vehicle. Accordingly, the safety of travel is improved, and efficient autonomous travel is enabled.
Abstract translation: 提供了一种用于在自主车辆之间共享车辆信息的装置和方法。 根据该装置和方法，不仅获取了当前驾驶相关信息和自车辆的未来驾驶相关信息，而且获取了当前驾驶相关信息和其他车辆的未来驾驶相关信息，并用于控制自身的行驶 车辆。 因此，旅行的安全性得到改善，并且能够实现有效的自主旅行。
-
公开(公告)号：US20240233157A9
公开(公告)日：2024-07-11
申请号：US18491916
申请日：2023-10-23
Inventor： Jae-Hyuck PARK , Kyoung-Wook MIN , Jeong Dan CHOI
CPC classification number: G06T7/55 , G06V10/7715 , G06T2207/20221
Abstract: Disclosed is a processor which includes a camera image feature extractor that extracts a camera image feature based on a camera image, a LIDAR image feature extractor that extracts a LIDAR image feature based on a LIDAR image, a sampling unit that performs a sampling operation based on the camera image feature and the LIDAR image feature and generates a sampled LIDAR image feature, a fusion unit that fuses the camera image feature and the sampled LIDAR image feature and generates a fusion map, and a decoding unit that decodes the fusion map and generates a depth map. The sampling operation includes back-projecting a pixel location of the camera image feature on a camera coordinate system to generate a back-projection point, and projecting the back-projection point on a plane of the LIDAR image to calculate sampling coordinates.
-
公开(公告)号：US20240135564A1
公开(公告)日：2024-04-25
申请号：US18491916
申请日：2023-10-22
Inventor： Jae-Hyuck PARK , Kyoung-Wook MIN , Jeong Dan CHOI
CPC classification number: G06T7/55 , G06V10/7715 , G06T2207/20221
Abstract: Disclosed is a processor which includes a camera image feature extractor that extracts a camera image feature based on a camera image, a LIDAR image feature extractor that extracts a LIDAR image feature based on a LIDAR image, a sampling unit that performs a sampling operation based on the camera image feature and the LIDAR image feature and generates a sampled LIDAR image feature, a fusion unit that fuses the camera image feature and the sampled LIDAR image feature and generates a fusion map, and a decoding unit that decodes the fusion map and generates a depth map. The sampling operation includes back-projecting a pixel location of the camera image feature on a camera coordinate system to generate a back-projection point, and projecting the back-projection point on a plane of the LIDAR image to calculate sampling coordinates.
-
20.发明公开公开(公告)号：US20240134009A1
公开(公告)日：2024-04-25
申请号：US18487276
申请日：2023-10-15
Inventor： Yeong Sang PARK , Kyoung-Wook Min , Jeong Dan CHOI
Abstract: A method of filtering dynamic objects in radar-based ego-motion estimation includes converting measurement value at current time, measured by radar sensor, into point cloud, classifying the point cloud into points of a first object predicted as static object and points of a second object predicted as dynamic object, based on position value of dynamic object tracked at previous time, classifying the points of the first object into the points of the static object predicted as normal value and the points of the dynamic object predicted as outlier, based on outlier filtering algorithm, classifying the points of the second object into points of a candidate static object and points of a candidate dynamic object, based on velocity model of the static object, and tracking a position value of the dynamic object at current time, based on the points of the dynamic object and the points of the candidate dynamic object.
-
-
-
-
-
-
-
-
-
Search Results
26
records
(took 0.016 seconds)
