An assembly determines operating parameters of a tire. The assembly includes a tripod sensor mounted within an inner cavity of the tire underneath a crown portion and an innerliner on which the tripod sensor is mounted. The tripod sensor includes a tri-axial accelerometer for creating a circumferential signal for determining slip ratio, a lateral signal for determining a slip angle, and a radial signal for determining load on the tire.

A wear measurement system for a component is disclosed. The wear measurement system may include an imaging device configured to obtain a plurality of two-dimensional images of the component. The wear measurement system may also include a controller. The controller may be configured to generate a three-dimensional point cloud representing the component based on the two-dimensional images. The controller may also be configured to overlay a computer model of the component on the three-dimensional point cloud. Further, the controller may be configured to project the computer model on the two-dimensional images. The controller may also be configured to select at least two reference points appearing in each of a subset of images selected from the two-dimensional images. The controller may be configured to determine locations of the two reference points in the three-dimensional point cloud, determine an image distance between the locations, and determine an amount of wear based on the image distance.

Systems and methods are disclosed herein for estimating or predicting operating conditions/states (e.g., tire wear) based on signal reconstruction from low frequency data sources. A processor periodically receives signals generated from a monitoring device at a first (lower) sampling rate, and further determines a reference signal representing one cycle of the generated signals, and a period of the received signals based on analysis across multiple cycles of generated signals, wherein the period is not an integer multiple of the first sampling rate. A curve is constructed corresponding to signals generated from the monitoring device at a second (higher) sampling rate, at least by correlating multiple cycles of signals at the first sampling rate and the reference signal. Current conditions/states are estimated, substantially in real time, based at least in part on the constructed curve, and an output signal is selectively generated based on the estimated current conditions/states.

An object surface managing method comprising: (a) emitting detecting light to the groove via alight source; (b) receiving first reflected detecting light from the surface and second reflected detecting light from a bottom of the groove via a light sensor; and (c) calculating a groove depth of the groove according to the first reflected detecting light and the second reflected detecting light.

A tire device has a tire side device and a vehicle body side system, and determines a road surface condition and detects a tire wear state. The tire side device includes a vibration detection unit that outputs a detection signal according to a magnitude of a tire vibration, a control unit extracts a feature amount during one rotation of the tire, and a first data communication unit that transmits a road surface data including a feature amount. The vehicle body side system includes a second data communication unit that receives road surface data, a road surface determination part that determines a road surface condition based on the road surface data, an integral calculation part that calculates an integral value of the feature amount in a specific frequency band included in the road surface data, and a wear determination part that detects the tire wear state from the integral value.

A wear detection system for truck steer tires is provided. A plurality of sipe groups are located in a tread rib of the tire. Each sipe group includes a first sipe group portion having an axially inward directed apex and a second sipe group portion having an axially outwardly directed apex, such that an axially directed wear force component causes the apex of the sipe group directed in the direction of the wear force component to be more tactilely detectable by a human fingertip than the apex of the other sipe group portion.

A method for measuring the depth of tread in a vehicle tire includes measuring acceleration signals from a tire module arranged on the inner side of the tire. A minimum acceleration value is then determined during rotation of the vehicle tire and at a constant traveling speed whereafter the maximum internal radius of the inner side of the tire is determined in the center of a ground contact area of the vehicle tire. The depth of tread of the vehicle tire is determined with signal processing whereafter the determined depth of tread is transmitted to a receiving unit in the vehicle.

A method, a system and a computer-readable medium for detecting a wheel tread depth include a first detector, a second detector and a processor. The first detector is configured to detect a moving distance of a vehicle moved by at least one wheel. The second detector is configured to detect a number of tunes of the wheel while the vehicle moves the moving distance. The processor is electrically connected to the first detector and the second detector. The processor is configured to compute a current diameter of the wheel according to the moving distance and the number of tunes of the wheel and determine a parameter of the tread pattern of the wheel according to the current diameter of the wheel and a reference value.

Methods and systems are provided for mobile platforms. A mobile platform comprises a body and a radar system. The body includes a wheel assembly, and the radar system is installed on the wheel assembly.

An arithmetic model generation system includes a tire information acquisition unit, a position information acquisition unit, a wear amount calculator, and an arithmetic model update unit. The tire information acquisition unit acquires tire data including a temperature and pressure of a tire. The position information acquisition unit acquires position data for a vehicle on which the tire is mounted. The wear amount calculator includes an arithmetic model that generates an estimated wear amount of at least one groove of the tire, the wear amount calculator calculating the estimated wear amount of at least one groove of the tire by using the arithmetic model by inputting the tire data and the position data. The arithmetic model update unit updates the arithmetic model based on a wear amount measured by a tire measurement device external to the vehicle and the estimated wear amount.