Abstract: A vehicle control device and a vehicle driving control method includes determining whether a motion sickness prevention mode is entered, based on road condition information and user-configured information about whether to activate the motion sickness prevention mode, while a vehicle is driving, and controlling, in case that the motion sickness prevention mode is entered, the vehicle by varying driving control factors, which includes at least one of longitudinal limit acceleration, a hydraulic braking amount, a regenerative braking amount, a braking distribution ratio, and a shift gear configured for the vehicle, depending on whether the vehicle accelerates or decelerates in a low-speed driving situation where the vehicle's speed is equal to or lower than a predetermined first reference speed.

Abstract: A method of tracking a command and control (C&C) server, which is performed by an apparatus for monitoring a process activity and a registry change of a host personal computer (PC), may comprise: storing a virtual private network (VPN) communication internet protocol (IP) when malware within the host PC attempts a VPN connection to an external server; monitoring or storing transmitted and received data between the host PC and the external server; analyzing the transmitted and received data; and registering the VPN communication IP on a blacklist when a suspicious activity is present in a result of the analysis of the transmitted and received data.

Abstract: An apparatus for controlling autonomous driving of a vehicle is introduced. The apparatus may comprise at least one communication circuit configured to communicate with an external device, and a processor configured to identify, based on information provided through the at least one communication circuit, an average speed and atmospheric pressure change on a driving path of the vehicle, determine, based on the atmospheric pressure change and an atmospheric pressure change limit value, a speed limit, output, based on the average speed and the speed limit, a vehicle speed control value, and control, based on the output vehicle speed control value, autonomous driving of the vehicle.

Abstract: A method and apparatus for controlling a vehicle based on weather information and road environment information can include obtaining weather information and wheel slip information on a road on which a vehicle is traveling, such as when a weather and road environment association mode is ON, determining a weather association factor based on the weather information, determining a wheel slip correction factor based on the wheel slip information, determining a driving torque factor based on the weather association factor and the wheel slip correction factor, and controlling a driving source of the vehicle based on the driving torque factor.

Abstract: In a method and apparatus for fusion detection in a vehicle battery charging system, the apparatus can include an inlet sharing DC/AC charging ports, a DC charging system connected to a first conduction path from the inlet, having a motor and inverter, a first relay group having a first and second relay, arranged along the first path to connect the inlet with the DC charging system, an AC charging system connected to a second conduction path from the inlet, a second relay group having a third and fourth relay, arranged along the second path to connect the inlet with the AC charging system, and a controller configured to close all relays except the target relay, provide a constant voltage in DC or AC charging system connected to the target relay, and measure voltage at the input terminal of the other charging system to detect fusion in one of the relays.

Abstract: The present disclosure provides a method of effectively deblurring a defocus blur in an input image based on an inverse kernel. The defocus deblurring method includes: generating, by an encoder network, an input feature map by encoding the input image; filtering, by an atrous convolution network including a plurality of atrous convolutional layers arranged in parallel, the input feature map to generate an output feature map having reduced blur component; and generating, by a decoder network, an output image having reduced blur from the output feature map with the reduced blur component and the input image.

Abstract: An information protection method based on software-defined perimeter (SDP) for Internet of Things (IoT) cloud security may comprise: receiving, at an SDP controller, an onboarding request message with an identity (ID) token from an SDP client acting as an initiating host, the onboarding request message comprising information requesting authentication of the SDP client and a handshake parameter specifying a handshake protocol for use in an SDP access process; and issuing, at the SDP controller, an SDP client credential corresponding to the handshake parameter.

Abstract: An apparatus for controlling autonomous driving of a vehicle is introduced. The apparatus may comprise at least one communication circuit configured to communicate with an external device, and a processor configured to identify, based on information provided through the at least one communication circuit, an average speed and atmospheric pressure change on a driving path of the vehicle, determine, based on the atmospheric pressure change and an atmospheric pressure change limit value, a speed limit, output, based on the average speed and the speed limit, a vehicle speed control value, and control, based on the output vehicle speed control value, autonomous driving of the vehicle.

Abstract: A method and apparatus for controlling a vehicle based on weather information and road environment information can include obtaining weather information and wheel slip information on a road on which a vehicle is traveling, such as when a weather and road environment association mode is ON, determining a weather association factor based on the weather information, determining a wheel slip correction factor based on the wheel slip information, determining a driving torque factor based on the weather association factor and the wheel slip correction factor, and controlling a driving source of the vehicle based on the driving torque factor.

Abstract: Provided are a vehicle driving information providing method and system, the method including: operating in a turning radius control mode by determining a parking situation or a U-turn situation while a vehicle is driving; determining a driving force for each of wheels located on left and right sides of the vehicle according to one predetermined configuration mode, which is set up for an operation in the turning radius control mode, among a plurality of predetermined configuration modes including different target turning radii of the vehicle; and generating and outputting an expected driving path of the vehicle, based on the determined driving force.

Abstract: An information protection method based on software-defined perimeter (SDP) for Internet of Things (IoT) cloud security may comprise: receiving, at an SDP controller, an onboarding request message with an identity (ID) token from an SDP client acting as an initiating host, the onboarding request message comprising information requesting authentication of the SDP client and a handshake parameter specifying a handshake protocol for use in an SDP access process; and issuing, at the SDP controller, an SDP client credential corresponding to the handshake parameter.

Abstract: A vehicle and a control method therefor are disclosed. The vehicle control method includes receiving integrated control information including one or more integrated control items with operation conditions set for one or more controllable items of the vehicle, providing an integrated control menu based on the integrated control information, and, when one of the integrated control items is selected from the integrated control menu, controlling each of the controllable items comprised in the selected integrated control item in accordance with the operation conditions corresponding thereto.

Abstract: A vehicle control device and a vehicle driving control method includes determining whether a motion sickness prevention mode is entered, based on road condition information and user-configured information about whether to activate the motion sickness prevention mode, while a vehicle is driving, and controlling, in case that the motion sickness prevention mode is entered, the vehicle by varying driving control factors, which includes at least one of longitudinal limit acceleration, a hydraulic braking amount, a regenerative braking amount, a braking distribution ratio, and a shift gear configured for the vehicle, depending on whether the vehicle accelerates or decelerates in a low-speed driving situation where the vehicle's speed is equal to or lower than a predetermined first reference speed.

Abstract: A vehicle control device and a vehicle driving control method include determining whether a motion sickness prevention mode is entered, based on road condition information and user-configured information about whether to activate the motion sickness prevention mode, during driving of a vehicle, and controlling, when the motion sickness prevention mode is entered, the vehicle based on a torque profile generated to reduce a passenger's feeling of acceleration or deceleration depending on whether the vehicle accelerates or decelerates in a high-speed driving situation where the vehicle's speed exceeds a predetermined first reference speed.

Abstract: A vehicle control device and a vehicle driving control method include comparing a vehicle's speed with a predetermined first reference speed when a motion sickness prevention mode is entered based on user-configured information about whether to activate the motion sickness prevention mode during driving of the vehicle, and controlling, based on a result of the comparison with the first reference speed, the vehicle to reduce a change in longitudinal acceleration of the vehicle or reduce a feeling of acceleration or deceleration experience by a passenger in the vehicle in consideration of whether an obstacle is recognized.

Abstract: Provided are a vehicle driving information providing method and system, the method including: operating in a turning radius control mode by determining a parking situation or a U-turn situation while a vehicle is driving; determining a driving force for each of wheels located on left and right sides of the vehicle according to one predetermined configuration mode, which is set up for an operation in the turning radius control mode, among a plurality of predetermined configuration modes including different target turning radii of the vehicle; and generating and outputting an expected driving path of the vehicle, based on the determined driving force.

Abstract: A video quality improvement method may comprise: inputting a structure feature map converted from current target frame by first convolution layer to first multi-task unit and second multi-task unit, which is connected to an output side of first multi-task unit, among the plurality of multi-task units; inputting a main input obtained by adding the structure feature map to a feature space, which is converted by second convolution layer from those obtained by concatenating, in channel dimension, a previous target frame and a correction frame of the previous frame to first multi-task unit; and inputting current target frame to Nth multi-task unit connected to an end of output side of second multi-task unit, wherein Nth multi-task unit outputs a correction frame of current target frame, and machine learning of the video quality improvement model is performed using an objective function calculated through the correction frame of current target frame.

Abstract: A method for generating a super-resolution video by using a multi-camera video may comprise: generating a resolution-improved ultra-wide-angle video frame at an arbitrary time step by inputting an ultra-wide-angle video frame of a first resolution at the arbitrary time step, ultra-wide-angle video frames right before and right after the arbitrary time step, and a wide-angle video frame for reference at the arbitrary time step, to a bidirectional neural network, wherein the generating of the resolution-improved ultra-wide-angle video frame is performed using accumulated information at a past time step based on the arbitrary time step, and accumulated information at a future time step based on the arbitrary time step, and wherein a second resolution, which is a resolution of the generated ultra-wide-angle video frame, is greater than the first resolution.

Abstract: A Merkle tree-based data management method may comprise: aligning data into two-dimensional square matrix; calculating a hash value of each node of the two-dimensional square matrix; calculating hash values of each row of the two-dimensional square matrix; generating an additional column with nodes having the hash values of each row; calculating hash values of each column of the two-dimensional square matrix; generating an additional row with nodes having hash values of each column; and calculating a Merkle root by concatenating the hash values of the additional column and the hash values of the additional row.

Abstract: The present disclosure provides a method of effectively deblurring a defocus blur in an input image based on an inverse kernel. The defocus deblurring method includes: generating, by an encoder network, an input feature map by encoding the input image; filtering, by an atrous convolution network including a plurality of atrous convolutional layers arranged in parallel, the input feature map to generate an output feature map having reduced blur component; and generating, by a decoder network, an output image having reduced blur from the output feature map with the reduced blur component and the input image.