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公开(公告)号：US20230419080A1
公开(公告)日：2023-12-28
申请号：US18301037
申请日：2023-04-14
Inventor： Dooseop CHOI , Kyoung-Wook MIN , Dong-Jin LEE , Yongwoo JO , Seung Jun HAN
IPC: G06N3/0455 , G06N3/0442 , G06N3/08 , B60W60/00
CPC classification number: G06N3/0455 , G06N3/0442 , G06N3/08 , B60W60/0027 , B60W2554/4041 , B60W2556/10 , B60W2554/402 , B60W2420/42 , B60W2552/53 , B60W2556/40
Abstract: The present disclosure relates to an apparatus and a method for predicting future trajectories of various types of objects using an artificial neural network trained by a method for training an artificial neural network to predict future trajectories of various types of moving objects for autonomous driving. The apparatus for predicting future trajectories includes a shared information generation module configured to: collect location information of one or more objects around an autonomous vehicle for a predetermined time, generate past movement trajectories for the one or more objects based on the location information, and generate a driving environment feature map for the autonomous vehicle based on road information around the autonomous vehicle and the past movement trajectories; and a future trajectory prediction module configured to generate future trajectories for the one or more objects based on the past movement trajectories and the driving environment feature map.
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2.发明公开公开(公告)号：US20240101149A1
公开(公告)日：2024-03-28
申请号：US18471474
申请日：2023-09-21
Inventor： Dong-Jin LEE , Kyoung-Wook MIN , Jeong-Woo LEE , Jeong Dan CHOI , Seung Jun HAN
IPC: B60W60/00
CPC classification number: B60W60/001 , B60W2554/4049
Abstract: A method of automatically detecting a dynamic object recognition error in an autonomous vehicle is provided. The method includes parsing sensor data obtained by frame units from a sensor device equipped in an autonomous vehicle to generate raw data by using a parser, analyzing the raw data to output a dynamic object detection result by using a dynamic object recognition model, determining that detection of a dynamic object recognition error succeeds by using an error detector when the dynamic object detection result satisfies an error detection condition, and storing the raw data and the dynamic object detection result by using a non-volatile memory when the detection of the dynamic object recognition error succeeds.
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Patent Agency Ranking
3.发明公开公开(公告)号：US20240123973A1
公开(公告)日：2024-04-18
申请号：US18365071
申请日：2023-08-03
Inventor： Jung-Gyu KANG , Dong-Jin LEE , Kyoung-Wook MIN
CPC classification number: B60W30/06 , B60W30/18036 , G06V10/26 , G06V20/586 , B60W2554/20
Abstract: Disclosed herein are an apparatus and method for automatic parking based on recognition of a parking area environment. The method may include searching for an available parking space, determining whether reverse parking is possible by recognizing the environment of the available parking space, recognizing at least one additional vehicle located in the vicinity of the available parking space, and setting a parking destination based on the determination of whether reverse parking is possible and the result of recognition of the at least one additional vehicle.
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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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5.发明公开公开(公告)号：US20240124002A1
公开(公告)日：2024-04-18
申请号：US18454964
申请日：2023-08-24
Inventor： Jeong-Woo LEE , Kyoung-Wook MIN , Kyung Bok SUNG , Dong-Jin LEE , Jeong Dan CHOI
IPC: B60W50/038 , B60W50/02 , B60W60/00 , G08G1/16
CPC classification number: B60W50/038 , B60W50/0205 , B60W60/0015 , G08G1/16
Abstract: A method for changing a route when an error occurs in an autonomous driving AI includes collecting error information of the AI when an error of the AI has occurred, extracting, from a storage, past error information about a same kind of AI as that of the AI based on the error information of the AI, generating an error analysis result based on the past error information, generating an error analysis result message based on the error analysis result, and determining whether the driving of the autonomous driving vehicle needs to be stopped based on the error analysis result message.
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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.
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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.
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