A sound measurement system intended to be installed on a motor vehicle, the system comprising: a microphone, an element for supporting the microphone, mechanical means for protecting the microphone against various projections (water, dust, etc.) from the environment of the vehicle, and mechanical means for protecting the microphone from airborne noise originating from the routing of the sound wave between the source and the measurement (cavity noise) and from the environment of the measuring system (turbulence around the measuring device), the various mechanical protection means being separate or combined. A motor vehicle may be provided with such a system.

A time series waveform of detected vibration of a tire during travel is multiplied by a window function of a prescribed time width and a time series waveform for each time window is extracted to calculate a feature vector from the time series waveform for each time window. Thereafter, when determining the state of the road surface during travel using the feature vector for each time window and road surface models, a plurality of the aforementioned road surface models is constructed depending on the magnitude of a braking/driving force, the braking/driving force acting on the aforementioned tire is estimated, and the state of the road surface is determined using the road surface models, which depend on the aforementioned feature vector and the magnitude of the estimated braking/driving force. The aforementioned road surface models are constructed with learning data comprising time series waveform data of tire vibration obtained by causing a vehicle mounted with a tire provided with an acceleration sensor to travel on road surfaces in multiple road surface states.

A parking assistance unit comprises: a step determination unit that executes a first determination process for determining whether a step that a vehicle wheel has contacted is a step for stopping the vehicle; and a braking/drive force setting unit that executes a stop request control for requesting stopping of a vehicle by increasing the braking force of the vehicle, when a step has been determined by the first determination process to be a step for stopping the vehicle.

An over actuated system capable of controlling wheel parameters, such as speed (e.g., by torque and braking), steering angles, caster angles, camber angles, and toe angles, of wheels in an associated vehicle. The system may determine the associated vehicle is in a rollover state and adjust wheel parameters to prevent vehicle rollover. Additionally, the system may determine a driving state and dynamically adjust wheel parameters to optimize driving, including, for example, cornering and parking. Such a system may also dynamically detect wheel misalignment and provide alignment and/or corrective driving solutions. Further, by utilizing degenerate solutions for driving, the system may also estimate tire-surface parameterization data for various road surfaces and make such estimates available for other vehicles via a network.

An emergency braking preparation system for a vehicle may include: a vehicle detector configured to detect a vehicle speed; a driving road detector configured to detect the type of a driving road; a surrounding environment detector configured to detect a surrounding environment of the vehicle; an emergency braking controller configured to control a braking pressure of a brake to a preset braking state; and a controller configured to control an FOV of a camera according to one or more of the vehicle speed detected by the vehicle detection unit, the driving road detected by the driving road detection unit, and the surrounding environment detected by the surrounding environment detection unit, and control the emergency braking controller according to the FOV of the camera.

A method for evaluating the firmness of the ground on which is running a vehicle equipped with at least one mounted assembly having a radial stiffness k.sub.radial comprising a tyre casing having a crown, two sidewalls and two beads, equipped with a sensor sensitive to the circumferential curvature and positioned in line with the crown, comprises the following steps: Estimating a value of the curvature .sub.A of the tire casing corresponding to first steady-state conditions of the tire casing in contact with the ground; and Evaluating the relative firmness of the ground with respect to the radial stiffness k.sub.radial of the mounted assembly as being a function of the value of the curvature .sub.A of the tire casing.

A road surface state estimation device includes a tire-side device and a vehicle-body-side system. The tire-side device is disposed in a tire. The vehicle-body-side system is disposed in a vehicle body. The tire-side device outputs a detection signal corresponding to a magnitude of vibration of the tire, generates road surface data based on the detection signal, and performs data communication with the vehicle-body-side system. The vehicle-body-side system acquires information related to the road surface state, performs the data communication with the tire-side device, transmits vehicle-body-side information indicating that the change in the road surface state occurs to the tire-side device when determining that a change in the road surface state occurs based on the information related to the road surface state, and estimates the road surface state based on the road surface data received by the second transceiver.

The present disclosure relates to a support braking apparatus and method for a vehicle capable of detecting braking target candidates for a vehicle, matching a braking amount required for the detected braking target candidates with a braking amount of a driver to select a specific braking target, and braking a subject vehicle by following up braking required for the selected braking target even if the driver does not maintain a braking control for the selected braking target. A support braking apparatus for a vehicle according to an embodiment of the present disclosure includes: a braking amount measurer configured to measure a first braking amount based on signals input from an acceleration sensor and a wheel sensor; a braking target detector configured to detect braking target candidates on a driving route by a camera and a radar; a braking target selector configured to match a first braking amount with a second braking amount to stop a subject vehicle within a braking range for the braking target candidates to select the braking target, and a braking controller configured to control an automatic braking to stop the subject vehicle within the braking range for the selected braking target.

A driving assistance apparatus is provided with: a recognizer configured to recognize a surrounding situation of a host vehicle; a controller programmed to execute a deceleration assistance control of assisting in decelerating a host vehicle when a predetermined condition is satisfied; a determinator configured to determine whether or not the host vehicle is traveling on a roadway on the basis of the recognized surrounding situation; and a restraining device configured to restrain execution of the deceleration assistance control by a controller if it is determined that the host vehicle is not traveling on a roadway, in comparison with a situation in which it is determined that the host vehicle is traveling on a roadway.

An arithmetic model generation system includes a sensor information acquisition unit, a tire force calculator, and an arithmetic model update unit. The sensor information acquisition unit acquires acceleration of a tire. The tire force calculator includes an arithmetic model for calculating tire force F based on the acceleration, and calculates the tire force F by inputting the acceleration acquired by the sensor information acquisition unit. The arithmetic model update unit compares tire axial force measured by the tire and the tire force F calculated by the tire force calculator, and updates the arithmetic model.