Abstract:
A processor implemented image processing method includes recognizing a target object in a first frame of an input image; adjusting an exposure of a second frame of the input image based on a brightness of the target object; and generating a synthesized image by synthesizing the first frame and the second frame.
Abstract:
A processor implemented image processing method includes recognizing a target object in a first frame of an input image; adjusting an exposure of a second frame of the input image based on a brightness of the target object; and generating a synthesized image by synthesizing the first frame and the second frame.
Abstract:
A method and apparatus for estimating battery life are provided. A method of estimating battery life may involve estimating first status information of a battery based on battery information acquired from the battery, estimating second status information of the battery using a partial cycle model corresponding to a battery degradation pattern for a partial cycle, and calculating the battery life based on a comparison between the first status information and the second status information.
Abstract:
A processor implemented image processing method includes recognizing a target object in a first frame of an input image; adjusting an exposure of a second frame of the input image based on a brightness of the target object; and generating a synthesized image by synthesizing the first frame and the second frame.
Abstract:
Disclosed is a method and apparatus of detecting an object approaching a vehicle, the method includes a user from the image, extracting feature points associated with the device or a portion of the user's body from the image of the user, detecting the object using a device based on the feature point, and issuing an alert of the approaching object.
Abstract:
A method of analyzing data related to a driving range estimation of a vehicle includes collecting attribute data related to the driving range estimation of the vehicle, analyzing a correlation between the attribute data and a driving range of the vehicle, generating a vehicle driving range estimation model based on the analyzed correlation, and analyzing a sensitivity between the vehicle driving range estimation model and the attribute data.
Abstract:
Disclosed is a virtual driving lane generation method and apparatus for recognizing vehicles near a host vehicle, extracting feature information indicating a directionality of the nearby vehicles, generating a virtual auxiliary driving lane based on the feature information, and generating a virtual driving lane for the host vehicle based on the virtual auxiliary driving lane and the side line information.
Abstract:
An apparatus for estimating a state of charge (SOC) of a battery in an electric vehicle is provided. The apparatus may include a driving history data storage configured to store driving history data for each category among categories generated based on a frequency of appearance of road data, a driving profile generator configured to categorize road data associated with a driving route for each of the generated categories and generate a driving profile with respect to the driving route based on the driving history data corresponding to the categorized road data, and a battery SOC estimator configured to estimate the SOC of a the battery with respect to the driving route based on the driving profile.
Abstract:
A method of analyzing data related to a driving range estimation of a vehicle includes collecting attribute data related to the driving range estimation of the vehicle, analyzing a correlation between the attribute data and a driving range of the vehicle, generating a vehicle driving range estimation model based on the analyzed correlation, and analyzing a sensitivity between the vehicle driving range estimation model and the attribute data.