An autonomous vehicle has a temperature sensor for sensing an air temperature or a road temperature, a processor communicatively connected to the temperature sensor to receive a signal from the temperature sensor, to process the signal and to generate an estimated instantaneous coefficient of friction between a tire of the vehicle and a snow-covered roadway, and a camera to detect salt and/or sand on the roadway and to apply a salt correction factor and/or a sand correction factor to the coefficient of friction to thereby provide a salt-corrected coefficient of friction or a sand-corrected coefficient of friction.

A system and method are provided for estimating and applying vehicle tire traction. Vehicle data (e.g., movement and location-based data) and tire sensor data are collected at a vehicle and transmitted to a remote computing system (e.g., cloud server). A wear status is determined, and traction characteristics determined for at least one tire, based at least on the vehicle data and the determined tire wear status. The predicted tire traction characteristics are transmitted from the remote computing system to an active safety unit associated with the vehicle, or a fleet management system, wherein the recipient is configured to modify vehicle operation settings based on at least the predicted tire traction characteristics. A maximum speed for the vehicle may be defined by the recipient, or a minimum following distance where, e.g., the vehicle is one of multiple vehicles in a defined platoon.

A autonomous vehicle comprising a sensor for sensing a physical property indicative of snow slipperiness; and a processor communicatively connected to the sensor to receive a signal from the sensor indicative of the snow slipperiness, to process the signal and to generate an estimated instantaneous coefficient of friction between a tire of the vehicle and a snow-covered roadway.

A method of sensing wheel rotation can include: sensing magnetic force information in an environment of a wheel by a magnetometer to obtain measured magnetic force information; generating relative magnetic force information by performing mathematical operation processing in accordance with the measured magnetic force information, where the relative magnetic force information does not change with geomagnetic field and does change with a rotation angle of a wheel; and obtaining angle information related to the rotation angle of the wheel in accordance with the relative magnetic force information.

Monitoring vehicles comprising track systems or tires to obtain information regarding the vehicle, including information regarding the track systems or tires, such as an indication of a level of wear, a rupture like a break, a puncture, chunking, de-bonding, etc., which can be used for various purposes, such as, for example, to convey the information to a user (e.g., the operator); control the vehicle (e.g., a speed of the vehicle, operation of a work implement, etc.); transmit the information to a remote party (e.g., a provider such as a manufacturer or distributor of the track systems or tires); etc.

An apparatus for determining a wheel condition on whether wheel locking occurs in each wheel of a vehicle having a main brake apparatus and an auxiliary brake apparatus. The apparatus includes: a WSS (Wheel Speed Sensor) configured to primarily detect whether wheel locking occurs; a TPMS (Tire Pressure Monitoring System) configured to secondarily detect whether wheel locking occurs; and a control unit configured to determine, when the WSS fails, a wheel condition indicative of whether wheel locking occurs in each wheel, by using information detected through the TPMS.

A method for estimating a grip of a tire supporting a vehicle includes generating a first set of data from a tire-mounted sensor unit, generating a second set of data from the tire-mounted sensor unit and from data obtained from the vehicle, and generating a third set of data from data obtained from the vehicle and from the Internet. A grip estimation module is provided. The first, second and third sets of data are received in the grip estimation module. A friction probability distribution is calculated with the grip estimation module using the first, second and third sets of data, and the friction probability distribution is input into at least one vehicle system.

The disclosure relates to a method for monitoring behavior of a tire of a vehicle in a rolling condition of the tire, comprising the steps of: acquiring a signal representative of an acceleration of a specified point of the tire, deriving from the signal a curve which represents a profile of the acceleration of the point during a revolution of the tire, determining a leading portion and a trailing portion of the curve, corresponding to an entry of the point into a footprint region of the tire and corresponding to an exit of the point from the footprint region of the tire, respectively, determining a first measure of a volatility of the signal in the leading portion and a second measure of a volatility of the signal in the trailing portion, and determining an indication of the behavior of the tire based on the first measure and the second measure.

A method of sensing wheel rotation can include: sensing magnetic force information in an environment of a wheel by a magnetometer to obtain measured magnetic force information; generating relative magnetic force information by performing mathematical operation processing in accordance with the measured magnetic force information, where the relative magnetic force information does not change with geomagnetic field and does change with a rotation angle of a wheel; and obtaining angle information related to the rotation angle of the wheel in accordance with the relative magnetic force information.

Techniques are described for determining weight distribution of a vehicle. A method of performing autonomous driving operation includes receiving two sets of values from two sets of sensors, where a first set of sensors measure weights or pressures applied on axles of a vehicle, and where a second set of sensors measure pressures in tires of the vehicle. The method performs an error detection and removal operation to remove or filter out any erroneous values from the two sets of values to obtain two sets of filtered values. The method determines one or more values that describe a weight or pressure applied on the axle to obtain the weight distribution of the vehicle based on the first set of filtered values or the second set of filtered values. Based on the obtained weight distribution of the vehicle, the method can determine a driving operation of the vehicle.