Described herein are systems and methods for determination of rolling resistance from a sensor or sensors in a tire or tires for application in smart cars to provide feedback to interested parties, such as Departments of Transportation or tire manufacturers.

There is provided a computerized system comprising a processing unit and associated memory configured to obtain a three-dimensional dataset informative of at least part of a tread of a tire, and determine, using the three-dimensional dataset, data informative of tread depth of the tire.

A device for measuring tread depth of tyres, wherein in use a tyre can be driven over the device in a first direction, the device comprising: a light source arranged to illuminate the tyre; an obstruction extending in a second direction substantially perpendicular to the first direction and arranged to partially block the light emitted from the light source such that a shadow is cast on the tyre when the tyre is located above the device, and such that the shadow is cast on the tyre in a direction substantially perpendicular to the tread of the tyre; and a camera arranged to view an illuminated section of the tyre.

An electronic battery tester for testing a storage battery includes a Kelvin connection configured to electrically couple to the storage battery and a microprocessor configured to determine a dynamic parameter of the storage battery. A forcing function source is configured to apply a forcing function signal to the storage battery through the Kelvin connection. A sensor is electrically coupled to the storage battery and configured to sense an electrical response of the storage battery to the applied forcing function signal. A tire tread gauge is arranged to be inserted into a tread of a tire. The tire tread gauge including a visual indicator. An image capture device is configured to capture an image of the tire tread gauge when the tire tread gauge is inserted into the tread of the tire.

A method for assessing tyre tread depth and/or tyre condition by taking and analysing a camera image or images of a tyre using portable instrumentation.

Apparatus for applying noise-reducing elements to a tyre for vehicle wheels that has a radially inner surface with a service area and a circumferential dimension. The apparatus determines the position in circumferential direction of the service area, determines the position in circumferential direction of a target area on the radially inner surface of the tyre based on the position in circumferential direction of the service area, and applies a noise-reducing element the target area. The position in circumferential direction of the service area is determined by circumferentially inspecting the radially inner surface of the tyre starting from a reference position, detecting the angular position of the service area with respect to the reference position and determining the position in circumferential direction of the service area based on the angular position and on the circumferential dimension of the radially inner surface of the tyre.

A disclosed vehicle component may include at least one split-ring resonator, which may be embedded within a material. The split ring resonator may be formed from a three-dimensional (3D) monolithic carbonaceous growth and may detect an electromagnetic ping emitted from a user device. The split ring resonator may generate an electromagnetic return signal in response to the electromagnetic ping. The electromagnetic return signal may indicate a state of the material in a position proximate to a respective split ring resonator. In some aspects, the split-ring resonator may resonate at a first frequency in response to the electromagnetic ping when the material is in a first state, and may resonate at a second frequency in response to the electromagnetic ping when the material is in a second state. A resonant frequency of the 3D monolithic carbonaceous growth may be based on physical characteristics of the material.

A distance sensor is used for automatically detecting whether an outer wheel of a dual-wheel axle is present. The distance sensor is mounted to detect a distance between the sensor and an outer wheel of a dual-wheel axle. A controller compares the distance information with an expected range of distances if the outer wheel is present and determines that the wheel is not present if the measured distance falls outside the expected range. The methods and systems are particularly suitable for mobile machines, such as a combine harvester, having a rollover risk reduction system and/or a stability control system reliant on accurate width data for the machine, and which can be configured to apply different limits for maximum steering angle and/or maximum speed depending on whether the outer wheel is found to be present.

The tire sensing and analysis system may comprise a measurement device and local application software. The measurement device may make contact with a tire of a vehicle such that the measurement device is positioned at a specific distance and orientation relative to the tire. The measurement device may capture multiple images of the tire using an RGB camera and a pair of infrared cameras. The local application software may analyze the images and may construct a 3D mesh describing the 3-dimensional contours of the tread. The local application software may determine a tread depth and may display status and warning messages on a display unit that is coupled to the measurement device. The measurements may be communicated to remote application software for additional analysis. As non-limiting examples, the remote application software may detect specific tire wear patterns and may transmit a report to share results of the analysis.

A tire defect detection system for detecting defects in a tire. The system includes at least one infrared camera, a pneumatic source and a computing device. The pneumatic source inflates the tire to a predetermined pressure. After inflation, the infrared camera captures a reference frame of a section of the tire. A period of time after capturing the reference frame, the infrared camera captures a subsequent frame. The subsequent frame is compared to the reference frame to detect a portion of the section of the tire that has a lower temperature. The lower temperature is caused by an escape of air from the tire through a defect. The escaping air cools the area of the tire around the defect, so a decrease in temperature indicates the defect.