Abstract: An embodiment apparatus for calculating a weight of a vehicle includes a sensor configured to sense a 3-axis acceleration value of each wheel of the vehicle, a receiver configured to receive sensing data of the sensor, a storage configured to store vehicle data of the vehicle, and a weight calculator configured to calculate a loaded weight of the vehicle using the 3-axis acceleration value and the vehicle data.

Abstract: An apparatus for estimating a motion of a vehicle occupant, and a method therefor, can store motion estimating models of a vehicle occupant, collect behavior data of a vehicle, determine a traveling mode of the vehicle based on a longitudinal acceleration among the behavior data of the vehicle, and estimate a motion of the vehicle occupant using at least one of the motion estimating models corresponding to the traveling mode of the vehicle. The motion estimating models can include a first model corresponding to a dynamic mode of the vehicle and a second model corresponding to a steady state mode of the vehicle.

Abstract: An apparatus for controlling a vehicle includes at least one sensor to obtain status data of a user of the vehicle and data related to a motion of the user, and a processor to generate at least one motion sickness model, based on the status data of the passenger and the data related to the motion of the passenger, which are previously obtained, select a motion sickness model corresponding to the status data of the user, from among the at least one motion sickness model, and predict a motion sickness index of the user, by inputting the data related to the motion of the user into the selected motion sickness model.

Abstract: An apparatus for diagnosing a fault of a vehicle component, may include: a processor; a memory storing one or more programs configured to be executed by the processor; and the one or more programs include instructions for: an acceleration sensor for detecting an acceleration signal; feature extraction unit for extracting features related to a fault of a vehicle component from the detected acceleration signal; and a machine learning model for diagnosing a fault of the vehicle component based on the extracted features, wherein the machine learning model may be a model selected according to a preset evaluation index among a plurality of machine learning models trained based on training data sets.

Abstract: An apparatus for diagnosing a fault of a vehicle component, may include: a processor; a memory storing one or more programs configured to be executed by the processor; and the one or more programs include instructions for: an acceleration sensor for detecting an acceleration signal; feature extraction unit for extracting features related to a fault of a vehicle component from the detected acceleration signal; and a machine learning model for diagnosing a fault of the vehicle component based on the extracted features, wherein the machine learning model may be a model selected according to a preset evaluation index among a plurality of machine learning models trained based on training data sets.

Abstract: An independent suspension system includes: a steering unit configured to adjust the steering angle of a wheel; a shock absorber engaged with the wheel in order to absorb impacts applied to the wheel and including a first shock absorber and a second shock absorber, each of which being arranged in a forward-rearward direction on opposite side surfaces of the wheel; and a link unit disposed between the shock absorber and the steering unit in order to vary the distance between the wheel and the steering unit. The link unit includes a first upper arm disposed between the first shock absorber and the steering unit, a second upper arm disposed between the second shock absorber and the steering unit, and a ground clearance adjustment unit engaged with the first and second upper arms in order to vary the distance between the first and second upper arms.

Abstract: An independent suspension system includes: a steering unit configured to adjust the steering angle of a wheel; a shock absorber engaged with the wheel in order to absorb impacts applied to the wheel and including a first shock absorber and a second shock absorber, each of which being arranged in a forward-rearward direction on opposite side surfaces of the wheel; and a link unit disposed between the shock absorber and the steering unit in order to vary the distance between the wheel and the steering unit. The link unit includes a first upper arm disposed between the first shock absorber and the steering unit, a second upper arm disposed between the second shock absorber and the steering unit, and a ground clearance adjustment unit engaged with the first and second upper arms in order to vary the distance between the first and second upper arms.

Abstract: A patent map (PM) database (DB) is constructed by employing a PM technique classification system and a technique classification PM DB. PM related information obtained by accessing a PM related server through Internet is provided and PM related information produced by an operator of the PM technique classification system is generated. A lower rank technique connection point and a higher rank technique connection point are connected between technique classification columns in the DB by using the PM related information, allowing at least one bibliographical data to be described in the lowest technique classification column of the lowest rank and storing technique classification information in the technique classification PM DB.