A method of evaluating a driving skill executed by a computer includes a skill evaluation step of evaluating a driver's driving skill based on a detection value of a vehicle state, a component separating step of separating the detection value of the vehicle state into a driver's operation component reflecting a driver's motion and a non-driver's operation component without reflecting the driver's motion, and a skill evaluation modifying step of correcting or abandoning evaluation of the driving skill based on at least one of an amount of the driver's operation component and an amount of the non-driver's operation component.

A road surface condition estimation apparatus which accurately estimates a road surface condition even under changes of external environment such as weather, etc., and a road surface condition estimation method using the same is described. The road surface condition estimation apparatus includes: a sensor module which is mounted on a tire; a receiver module which receives sensing information measured by the sensor module; a processing module which extracts a parameter for estimating a road surface condition by analyzing the sensing information received by the receiver module; and an estimation module which estimates the road surface condition by using the parameter extracted by the processing module. The sensing information includes an acceleration of the tire.

An exemplary method for detecting a lateral oscillation of a vehicle includes monitoring yaw rate data and lateral acceleration data of the vehicle, analyzing the yaw rate and lateral acceleration data to generate a yaw rate signal energy distribution and a lateral acceleration signal energy distribution, determining whether a series of conditions are satisfied; and if the conditions are satisfied, automatically controlling the actuator to reduce the lateral oscillation of the vehicle. In some examples, the series of conditions includes the detection of spikes in the yaw rate and lateral acceleration data at approximately the same frequency, a magnitude of the spikes exceeding a first threshold, and a phase shift between the yaw rate and lateral acceleration data exceeding a second threshold.

Described herein are systems, methods, and non-transitory computer readable media for detecting the presence of an authority vehicle in proximity to a vehicle such as an autonomous vehicle and initiating an automated response. Presence of an authority vehicle can be determined based on an analysis of an audio signal stream received from an audio capture device, such as a microphone, present in the vehicle. Various audio signals representative of sounds other than an authority vehicle siren can be filtered from the audio signal stream to produce a filtered output. The filtered output can then be analyzed to determine whether it contains an audio signal indicative of the presence of an authority vehicle. Such a determination can be made by assessing characteristics of the audio signal such as intensity, frequency, and/or periodicity. If an authority vehicle is present, various response measures can be taken such as initiating an automated braking operation.

Vehicles and methods of predicting a surrounding vehicle cut-in and controlling the vehicle to accommodate the vehicle cut-in are disclosed. In one embodiment, a vehicle includes one or more sensors operable to generate data of a surrounding vehicle, one or more processors, and a non-transitory computer-readable medium storing computer-executable instructions. When the computer-executable instructions are executed by the one or more processors, the one or more processors receive the data of the surrounding vehicle, and extract one or more features from the data of the surrounding vehicle. Based on the one or more features, the one or more processors are controlled to determine a probability that the surrounding vehicle will cut in front of the vehicle, and to control the vehicle in accordance with the probability that the surrounding vehicle will cut in front of the vehicle.

A vehicle driving controller includes a determination device that identifies a change in location of a reference interval. The reference interval has a certain magnitude value in power spectrum data received from a radar sensor, which detects a preceding vehicle in front of a host vehicle and determines whether there occurs an altitude difference between the host vehicle and the preceding vehicle based on the change in the location of the reference interval. The driving controller includes a correction device that corrects a power spectrum using a virtual layer when it is determined that the altitude difference exists between the host vehicle and the preceding vehicle. The driving controller includes a controller that controls the driving of the host vehicle based on the corrected spectrum.

A vehicle driving controller includes a determination device that identifies a change in location of a reference interval. The reference interval has a certain magnitude value in power spectrum data received from a radar sensor, which detects a preceding vehicle in front of a host vehicle and determines whether there occurs an altitude difference between the host vehicle and the preceding vehicle based on the change in the location of the reference interval. The driving controller includes a correction device that corrects a power spectrum using a virtual layer when it is determined that the altitude difference exists between the host vehicle and the preceding vehicle. The driving controller includes a controller that controls the driving of the host vehicle based on the corrected spectrum.

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; an SOC detector detecting a state of charge (SOC) of a battery; and a controller controlling operation of a motor based on 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.

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 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; and a controller controlling operation of a motor based on the engine position, the air amount, the position of the accelerator pedal, and the speed of the hybrid electric vehicle.

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 the 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.