Abstract: A LiDAR cleaning system according to an embodiment disclosed herein may include a case having a transparent protective window and configured to protect a LiDAR sensor mounted therein, a cleaning device configured to clean the protective window, a communication module configured to obtain driving information of a vehicle, and a controller functionally connected to the LiDAR sensor, the cleaning device, and the communication module. The controller may determine whether the LiDAR sensor is obstructed due to contamination of the protective window using the LiDAR sensor, may determine whether a driving situation satisfies a safe operating condition of the cleaning device based on the driving information when obstruction of the LiDAR sensor is confirmed, and may remove contamination of the protective window through the cleaning device when the driving situation satisfies the operating condition.

Abstract: An electrode assembly including a positive electrode, a negative electrode, and a separator provided between the positive electrode and the negative electrode, in which a dry adhesive force of the separator to the negative electrode is greater than a dry adhesive force of the separator to the positive electrode is provided.

Abstract: The present disclosure relates to an all-solid lithium secondary battery and a preparation method thereof, wherein the all-solid lithium secondary battery includes a positive electrode active material layer, a negative electrode active material layer, and a solid electrolyte layer disposed between the positive electrode active material layer and the negative electrode active material layer, wherein the negative electrode active material layer includes a carbon structure and silver nanoparticles, the carbon structure includes a structure in which a plurality of graphene sheets are connected to each other, and the plurality of graphene sheets include two or more graphene sheets having different plane directions.

Abstract: Disclosed are a device for multiple interactions between moving objects and autonomous vehicles and a driving method thereof. The device for multiple interactions between moving objects and autonomous vehicles includes memory in which a program for multiple interactions between moving objects and autonomous vehicles has been stored and a processor configured to execute the program. The processor confirms the status of the moving object including at least any one of a nearby vehicle, a pedestrian, and a mobility user and transmits a control command for a notification function that shares situation information.

Abstract: Provided is a dynamic automation level-based autonomous driving system and a method thereof, and more particularly, an autonomous driving system that preferentially performs maximum autonomous driving based on a dynamic automation level in bad weather and irregular road environments and a method thereof. The dynamic automation level-based autonomous driving system includes a route server configured to generate operational design domain determination information and to plan a global route so that an automated driving mode is preferenced, and an autonomous vehicle configured to drive along the global route, to change automation levels by using multi-layer operational design domain definition information and driving situation monitoring information, and to perform autonomous driving.

Abstract: A communication system based on augmented reality includes a user terminal which extracts semantic information from an actual environmental image, and transmits an augmented reality content request comprising the extracted semantic information, and a base station device which receives the augmented reality content request, and transmits an object rendered to the user terminal according to whether the object is recognized based on the semantic information comprised in the augmented reality content request.

Abstract: The present invention relates to an electrode manufacturing method for manufacturing a foldable battery cell, the electrode manufacturing method including a coating step of forming an electrode mixture coated portion on an electrode sheet so as to include an uncoated portion having no electrode mixture formed thereon by coating, a step of slitting the electrode sheet into a plurality of unit electrode sheets, and a step of notching the slit electrode sheet, wherein the uncoated portion includes an electrode tab formation portion and a folding portion formed so as to be parallel to a direction in which the electrode sheet is taken out.

Abstract: A fluid flow control apparatus includes a cooling function. The fluid flow control apparatus includes at least one controllable first valve configured to selectively discharge a first fluid through at least one first outlet, and a first flow path disposed to allow the first fluid to flow therethrough and surround the at least one first valve.

Abstract: Disclosed is a technology which generates a virtual environment similar to a driving environment in a simulation environment by using generative artificial intelligence (AI) technology and develops, verifies, and evaluates an autonomous driving system through a complicated scenario in generated various environments.

Abstract: Disclosed herein is a method for learning to drive growing autonomous vehicles in real time based on driver interaction, which includes (a) an autonomous vehicle performing autonomous driving learning based on driving guidance information generated using information received from a driving expert, (b) the autonomous vehicle performing external driving environment recognition matching on a result of recognition of a recognition system and a result of recognition of the driving expert, and (c) the autonomous vehicle performing reviewing and learning after driving training to improve a level of autonomous driving.

Abstract: The present invention relates to a method for providing information for artificial intelligence-based lung cancer diagnosis using a biomarker(s) for diagnosing lung cancer and clinical information of a test subject, and more specifically, to a metabolomic biomarker(s) composition for diagnosing lung cancer comprising kynurenine (KN), hexanoyl-L-carnitine (HC), octanoyl-L-carnitine (OC), decanoyl-L-carnitine (DC), dodecanoyl-L-carnitine (DDC), myristoyl-L-carnitine (MC) and palmitoyl-L-carnitine (PC), and a method for providing artificial intelligence-based information for diagnosing lung cancer using the metabolomic biomarker(s) and clinical information of a test subject.

Abstract: A memory system includes a memory device and a controller. The memory device includes at least one storage region. The controller is coupled to the memory device. The controller is configured to transmit to the memory device a command used for storing data in the at least one storage region or reading stored data from the at least one storage region. The controller is configured to differently perform scheduling, based on whether addresses, input along with at least two commands belonging to a preset range of commands to be transmitted to the memory device, are overlapped, so that a first order in which the commands are input from an external device is equal to a second order in which the commands are transmitted to the memory device.

Abstract: The present disclosure relates to a defensive driving vehicles interaction system (D2VIS), and to an autonomous driving predictive defensive driving system through an interaction based on forward vehicle driving and situation judgement information and a method thereof. An autonomous driving predictive defensive driving system through an interaction based on forward vehicle driving and situation judgement information according to the present disclosure includes an inter-vehicle distance recognition unit configured to recognize a distance between a surrounding vehicle and an ego vehicle, a situation recognition unit configured to recognize situation information including surrounding information of the surrounding vehicle, and a driving situation response determination unit configured to share data for determining a defensive driving action by using the situation information.

Abstract: Provided is an electronic device including: a sensor module; a memory storing map data; and a processor functionally connected to the sensor module and the memory, wherein, when it is determined to execute a minimum risk maneuver (MRM) mode during autonomous driving, the processor recognizes a road structure and a static road object at a current location and a forward area from the current location based on the sensor module and map data, and determines a stopping method of the MRM mode according to a result of the recognition of the road structure and the static road object, and stops the vehicle with the determined stopping method.

Abstract: A data storage apparatus includes a memory device and a memory controller. The memory controller is configured to determine that at least a portion of logical addresses included in adjacent write requests in a sequence of write requests continuously received from an external apparatus overlaps. The memory controller is configured to execute an overlap write mode in which deferring programming of data of an overlapping logical address.

Abstract: A method for manufacturing an electrode for an all-solid-state battery is provided. The method comprises steps of applying granules containing an active material on a current collector, aligning and fixing the granules, applying a solid electrolyte solution on the granules, and moving the solid electrolyte solution into pores between the granules by reducing the pressure by vacuum at 20° C. to 40° C.

Abstract: The present invention relates to an electrode assembly, a secondary battery including the electrode assembly, and a method of manufacturing the electrode assembly, wherein a corona surface treatment is applied to a portion of a surface of a separator located inside a unit cell to increase interfacial adhesion between the separator and an electrode without decreasing electrolyte impregnability.

Abstract: The present technology relates to an electronic device. According to the present technology, a memory controller may include a garbage collection controller and a sustain detector. The garbage collection controller may generate garbage collection information including valid page count values of victim memory blocks on which garbage collection is to be performed among a plurality of memory blocks included in a memory device. The sustain detector in communication with the garbage collection controller may generate sustain information indicating whether random write performance for the memory device is in a sustain state in which a random write performance value related to a capability of the random write performance is greater than or equal to a threshold value based on the garbage collection information.

Abstract: The present disclosure relates to a data construction and learning system and method based on a method of splitting and arranging multiple images. The data construction and learning system based on a method of splitting and arranging multiple images includes an input unit configured to receive images captured by a plurality of cameras disposed in a vehicle, a memory in which a program for merging the images into a single image and estimating information on a road situation and an object has been stored, and a processor configured to execute the program. The processor merges and recognizes, as one situation, road situations and objects redundantly included in the images.

Abstract: The interaction system includes: an infrastructure image sensor-based 3D cloud restoration module configured to create a 3D cloud point using a multi-view image received from an infrastructure sensor; a real-time 3D map creation and learning update module configured to generate subset data composed of point clouds into a 3D map using 3D point information received from the infrastructure image sensor-based 3D cloud restoration module; an object estimation module in a 3D space configured to recognize and track an object existing in a 3D space based on the 3D map received from the real-time 3D map creation and learning update module; and a dangerous situation recognition and interaction module in space configured to receive information on an object existing in the 3D space from the object estimation module in the 3D space, recognize a dangerous situation, and provide dangerous situation related information.