Disclosed herein an autonomous driving system includes a first sensor installed in a vehicle, having a field of view facing in front of the vehicle, and configured to acquire front image data; a second sensor selected from the group consisting of a radar and a light detection and ranging, installed in the vehicle, having a detection field of view facing in front of the vehicle, and configured to acquire forward detection data; a communicator configured to receive a high definition map at a current location of the vehicle from an external server; and a controller including a processor configured to process the high definition map, the front image data, and the forward detection data.

Sound signals that are not audible are generated by one or more speakers disposed in the vehicle. Reflected sound signals from a driver or a passenger of the vehicle that are not audible are received by one or more microphones disposed in the vehicle. A behavior-induced acoustic pattern is detected based on the reflected ultrasound signals. The behavior-induced acoustic pattern is analyzed to recognize a behavior of the driver or the passenger of the vehicle. A response or an alert is generated according to the recognized behavior of the driver or the passenger in the vehicle.

The vehicle evaluation system includes processing circuitry 110 and a storage device 120. The storage device 120 stores data of a learned model that has been trained to generate reference operation data from training sound data. The processing circuitry 110 is configured to execute a generation process and an evaluation process. The generation process is a process that generates generated data, which is data in an operation status, by inputting, to the learned model, evaluation sound data recorded while operating the target vehicle 10 for a predetermined period of time. The evaluation process is a process that compares target operation data, which indicates the operation status of the target vehicle collected simultaneously with the evaluation sound data, with the generated data to evaluate the target vehicle 10 based on the magnitude of deviation between them.

A method for determining the start of movement of a motor vehicle equipped with a system for monitoring tire pressure of a motor vehicle. Communication between the receiver and each pressure monitoring system emitter being subjected to a Doppler effect so that a periodic component is inserted by the emitter into the signal emitted to the receiver. The method includes: acquiring the intermediate-frequency signal before demodulation by a processor to extract data carried by the radiofrequency signal, determining the FFT of the IF signal, determining the average value of the FFT of the IF signal over a preset duration, and determining whether there is a frequency deviation by comparing the instantaneous value of the fast Fourier transform to the average value of the fast Fourier transform, if so, determining whether the emitter for monitoring the pressure of a tire is moving and that the vehicle is moving.

An apparatus for active vibration control of a hybrid electric vehicle including an engine and a motor is disclosed. The apparatus includes: a position sensor to detect position information of the engine or the motor; and a controller to select a reference angle signal based on a signal from the position sensor. The controller performs fast Fourier transform (FFT) analysis by generating a reference angle, extracts a vibration component of each frequency through the FFT analysis, generates a reference signal by performing inverse FFT, and performs active vibration control of each frequency by reflecting a basic amplitude ratio, an adjustable rate according to an engine load, and an engine torque to the reference signal.

The invention relates to a method for operating a motor vehicle system which is designed to guide the motor vehicle in different driving situation classes in a fully automated manner. The method includes ascertaining a current driving situation class from multiple specified driving situation classes using at least some of driving situation data, each driving situation class is assigned at least one analysis function. The method further includes retrieving configuration parameter sets assigned to the analysis functions of the current driving situation class from a database and producing analysis units which carry out the analysis function and which have not yet been provided by configuring configuration objects using the retrieved configuration parameter sets.

A vehicle control device including a tire-side device and a vehicle-side device is provided. The tire-side device includes a vibration detection unit that outputs a detection signal corresponding to a magnitude of vibration of a tire, a signal processing unit that generates data representing a friction coefficient between the tire and a road surface by processing the detection signal, and a transmitter that transmits the data. The vehicle-side device includes a receiver that receives the data and a travel control unit that estimates the friction coefficient based on the data, acquires a braking distance of the vehicle based on the friction coefficient, and controls acceleration and deceleration of the vehicle based on the braking distance.

Disclosed are a method of and an apparatus for controlling a vibration of a hybrid electric vehicle. An apparatus of controlling a vibration of a hybrid electric vehicle disclosure may include: an engine position detector detecting a position of an engine; an air amount detector detecting an air amount flowing into the engine; an accelerator pedal position detector detecting a position of an accelerator pedal; a vehicle speed detector detecting a speed of the hybrid electric vehicle; an SOC detector detecting a state of charge (SOC) of a battery; and a controller. The controller controls the operation of a motor based of the position of the engine, the air amount, the position of the accelerator pedal, the speed of the hybrid electric vehicle, and the SOC of the battery.

The present disclosure relates to an apparatus for extracting vibration of a hybrid vehicle, and more particularly, to an apparatus and a method of extracting vibration of a hybrid vehicle by varying a target vibration frequency. An apparatus for extracting vibration of a hybrid electric vehicle includes: an engine and a driving motor, which are power sources; a starter motor/generator connected to the engine; and a control unit configured to measure a motor speed of the starter motor/generator, to generate a speed variation quantity based on the motor speed of the starter motor/generator, to calculate a vibration frequency of the engine when the speed variation quantity exceeds a reference value, to set a filter band based on the vibration frequency of the engine, and to extract, with the filter band, a vibration of the engine.

Disclosed are a method of and an apparatus for controlling a vibration of a hybrid electric vehicle. An apparatus for controlling a vibration of a hybrid electric vehicle may include: an engine position detector detecting a position of an engine; an air amount detector detecting an air amount flowing into the engine; an accelerator pedal position detector detecting a position of an accelerator pedal; a vehicle speed detector detecting a speed of the hybrid electric vehicle; and a controller. The controller controls operation of a motor based on the position of the engine, the air amount, the position of the accelerator pedal, and the speed of the hybrid electric vehicle.