Abstract: The present disclosure relates to a method of recycling a positive electrode active material and a recycled positive electrode active material prepared by the same. More particularly, the present disclosure relates to a method of recycling a positive electrode active material, the method including step A of fragmenting a waste battery including a positive electrode, a separator, and a negative electrode to form waste battery scraps; step B of removing the negative electrode by jetting compressed air onto the waste battery scraps; and step C of treating the waste battery scraps from which the negative electrode has been removed with a solvent to remove the separator and obtain positive electrode scraps, and a recycled positive electrode active material prepared by the method.

Abstract: Disclosed herein are a method, an apparatus and a storage medium for encoding/decoding using a transform-based feature map. An optimal basis vector is extracted from one or more feature maps, and a transform coefficient is acquired through a transform using the basis vector. The basis vector and the transform coefficient may be transmitted through a bitstream. In an embodiment, one or more feature maps are reconstructed using the basis vector and the transform coefficient, which are decoded from the bitstream.

Abstract: The present disclosure relates to a method of identifying a posture and detecting a specific behavior based on artificial intelligence. A method of detecting an abnormal behavior in a video based on a computational device according to an embodiment of the present disclosure may involve obtaining at least one video frame; obtaining at least one piece of human posture information from a first artificial intelligence based on the obtained video frame; obtaining information on whether an abnormal behavior has been detected and at least one piece of abnormal behavior information from a second artificial intelligence based on at least one piece of human posture information obtained in chronological order; and marking the at least one video frame based on the information on whether an abnormal behavior has been detected and the at least one piece of abnormal behavior information.

Abstract: A method of classifying an object according to an embodiment includes extracting a first feature by transforming rectangular coordinates of points included in the box of the object, obtained from a point cloud acquired using a LiDAR sensor, into complex coordinates and performing Fast Fourier Transform (FFT) on the complex coordinates, obtaining an average and a standard deviation as a second feature, the average and the standard deviation being parameters of a Gaussian model for the points included in the box of the object, and classifying the type of object based on at least one of the first feature or the second feature.

Abstract: An embodiment device for detecting a boundary of a road in a 3D point cloud using a cascade classifier includes a rule-based classifier configured to determine whether a received LiDAR cluster has a likelihood of becoming a candidate for the boundary of the road using a box parameter surrounding a point cloud constituting the LiDAR cluster and a point parameter, and a learning-based classifier configured to apply a machine-learning scheme to the LiDAR cluster selected as the candidate for the boundary of the road by the rule-based classifier to determine the LiDAR cluster to be the boundary of the road or an object other than the boundary of the road.

Abstract: An accelerator pedal for a vehicle, which has a hysteresis generation structure, may be provided. The accelerator pedal includes: a housing which includes a pivot shaft; a pedal unit which includes a hinge connected pivotably to the housing; a first spring which is positioned under the pedal unit in such a manner as to be pressed downward when the pedal unit is pivoted; a friction member which is pivotably connected to the housing and contacts the hinge; a second spring which provides an elastic force to the friction member; and a force transmitting member which is positioned between the friction member and the second spring and transmits the elastic force of the second spring to the friction member.

Abstract: A pedal effort generator using a cam may be provided that includes: a housing which includes a rotating shaft disposed therewithin; a cam which is disposed on an inner surface of the housing; a pedal effort generation unit which moves along one surface of the cam; a pedal unit which includes a pedal pad disposed on one side thereof and includes a receiving recess in which a portion of the pedal effort generation unit is disposed on the other side thereof, a portion of between the one side and the other side which is connected to the rotating shaft of the housing and is pivotable about the rotating shaft; and an elastic member which is disposed between the inner surface of the housing and the other side of the pedal unit to apply an elastic force to the pedal unit. The pedal effort generation unit includes a roller unit which moves along one surface of the cam by the pivoting of the pedal unit and includes a spring which is coupled to the roller unit.

Abstract: A pedal includes a pedal effort adjuster configured to generate pedal effort in response to an increase in stroke of a pedal arm, where the pedal effort adjuster includes a detent spring for generating the pedal effort by load of the detent spring that is decreased after being increased in response to a change in reaction force caused by the increase in stroke and a return spring for generating the pedal effort by load of the return spring that is increased by maintaining reaction force caused by the increase in stroke.