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公开(公告)号：EP3736191A1
公开(公告)日：2020-11-11
申请号：EP19764996.5
申请日：2019-03-06
发明人： JU, Jaeyong , KIM, Myungsik , HAN, Seunghoon , LIM, Taegyu , MOON, Boseok
摘要： An electronic device for and a method of assisting vehicle driving are provided. The electronic device includes a plurality of cameras configured to capture a surrounding image around a vehicle; at least one sensor configured to sense an object around the vehicle; and a processor configured to obtain, during vehicle driving, a plurality of image frames as the surrounding image of the vehicle is captured based on a preset time interval by using the plurality of cameras, based on the object is sensed using the at least one sensor while the vehicle is being driven, extract an image frame corresponding to a time point when and a location where the object has been sensed, from among the obtained plurality of image frames, perform object detection from the extracted image frame, and perform object tracking of tracking a change in the object, from a plurality of image frames obtained after the extracted image frame.
The present disclosure also relates to an artificial intelligence (Al) system that utilizes a machine learning algorithm, such as deep learning, and applications of the AI system.-
公开(公告)号：EP4186650A1
公开(公告)日：2023-05-31
申请号：EP21856061.3
申请日：2021-07-02
发明人： JU, Jaeyong
摘要： Disclosed are a robot and a method for controlling a robot. The method for controlling the robot according to the present disclosure comprises the steps of: obtaining a captured image of a user; analyzing the image to obtain first information relating to the user's position and the user's eye gaze direction; on the basis of the position and direction in which the image has been captured, obtaining matching information for matching the first information to a map corresponding to an environment in which the robot operates; on the basis of the matching information and the first information, obtaining second information relating to the user's position and eye gaze direction on the map; and inputting the second information in an artificial intelligence model trained to identify an object on the map, so as to identify an object corresponding to the user's eye gaze direction on the map.
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