Abstract: Disclosed is an electronic system. The electronic system includes a camera device including a camera and a motor that rotates the camera, a first server device that provides the motor with an angle control signal for obtaining first image data corresponding to a first scene including a target object by the camera, and a second server device. The camera device is configured to rotate the camera based on the angle control signal, to obtain the first image data by the rotated camera, and to provide the first server device with the first image data and angle information indicating a rotation state of the camera. The second server device is configured to determine estimated candidate coordinates of coordinates, at which the target object is located, in three-dimensional (3D) space based on 3D map information and the angle information received from the first server device.

Abstract: Provided are a method and apparatus for determining a position of a moving object. A method of determining a position of an object includes receiving an image frame from a camera, determining object recognition information of an object included in the image frame by performing object recognition based on deep learning, tracking the object by performing view control of the camera based on the object recognition information, and determining object global positioning system (GPS) position information of the object based on view state information indicating a degree to which the camera is adjusted by the view control.

Abstract: Provided are a method of recognizing an emotion of a driver and an apparatus using the same. The method includes receiving emotion recognition information including at least one of vehicle state information and driver emotion state information, determining whether a dominant emotion state exists among one or more emotion states possessed by the driver on the basis of the emotion recognition information and an emotion recognition model, and performing a reaction inducing interaction with respect to the driver determined on the basis of the determined dominant emotion state together with the driver when the dominant emotion state of the driver is determined to exist.

Abstract: A digital cockpit system communicates with a cloud server and outputs an output result of a vehicle's internal system according to a human-machine interface (HMI) output policy optimized for a personal driving tendency of a personal driver by using a driver-customized parameter received from the cloud server.

Abstract: A regulated cascode circuit includes a first PMOS FET and a second PMOS FET connected in series between a first terminal that receives a first supply voltage and an output terminal, a first NMOS FET and a second NMOS FET connected in series between the output terminal and a second terminal that receives a second supply voltage, and a regulation circuit. The regulation circuit outputs a first control signal for stabilizing a voltage at a drain of the first PMOS FET to a gate of the second PMOS FET based on a voltage of the drain of the first PMOS FET and outputs a second control signal for stabilizing a voltage change in a source of the first NMOS FET to a gate of the first NMOS FET based on a voltage of the source of the first NMOS FET.

Abstract: A regulated cascode circuit includes a first PMOS FET and a second PMOS FET connected in series between a first terminal that receives a first supply voltage and an output terminal, a first NMOS FET and a second NMOS FET connected in series between the output terminal and a second terminal that receives a second supply voltage, and a regulation circuit. The regulation circuit outputs a first control signal for stabilizing a voltage at a drain of the first PMOS FET to a gate of the second PMOS FET based on a voltage of the drain of the first PMOS FET and outputs a second control signal for stabilizing a voltage change in a source of the first NMOS FET to a gate of the first NMOS FET based on a voltage of the source of the first NMOS FET.