Abstract: The present invention relates to a method and an apparatus for interlayer prediction, and the method for interlayer prediction, according to the present invention, comprises the steps of: deciding whether to apply an interlayer prediction to an enhancement layer; and performing a prediction on a current block of the enhancement layer based on reference information that is generalized and generated from a reference picture, which is decoded, of a reference layer, when the interlayer prediction is applied, wherein the reference layer information can be encoding information of a reference block, which corresponds to a current block of the enhancement layer, from the reference layer, and residual information.

Abstract: The present exemplary embodiments may provide a negative electrode material for a lithium secondary battery, the negative electrode material containing nano-silicon, crystalline carbon, amorphous carbon, and carbon nanotubes, wherein one end of the carbon nanotube is located inside the negative electrode material and the other end of the carbon nanotube protrudes out of the negative electrode material, and an average length of the carbon nanotubes protruding out of the negative electrode material is 0.1 ?m to 1 ?m.

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.

Abstract: Disclosed herein is a method for deidentifying a driver image dataset. The method includes generating a combination dataset having a preset size based on a driver image dataset, extracting face shape information from each of pieces of driver image data forming the driver image dataset, and generating a deidentified dataset using the combination dataset and the face shape information.

Abstract: Provided is a driving guide system, and more specifically, a system for guiding a vehicle occupant in driving through linguistic description. One embodiment of the present invention is an apparatus for guiding driving with linguistic description of a destination, which is installed on a vehicle and guides driving by outputting a linguistic description of a destination building, wherein the apparatus sets a destination according to a command or input, receives appearance information of a building of the destination from a server, and represents and outputs the appearance information in a linguistic form.

Abstract: Provided is a driving guide system, and more specifically, a system for guiding a vehicle occupant in driving through linguistic description. One embodiment of the present invention is an apparatus for guiding driving with linguistic description of a destination, which is installed on a vehicle and guides driving by outputting a linguistic description of a destination building, wherein the apparatus sets a destination according to a command or input, receives appearance information of a building of the destination from a server, and represents and outputs the appearance information in a linguistic form.

Abstract: Provided is an autonomous driving technology in which the autonomous driving method includes planning global travelling such that guidance information of global node points is acquired, determining a location of a subject vehicle, generating a first local high-definition map such that the first local high-definition map is generated for at least one section in a global-travelling planned route included in the planning of the global travelling using at least one of a road view and an aerial view provided from a map server, planning a local route for autonomous driving using the first local high-definition map, and controlling the subject vehicle according to the planning of the local route to perform the autonomous driving.