Abstract: Methods, computer program products and apparatuses for estimating the uncertainty of a friction potential value of a wheel of a vehicle are disclosed. The method for estimating the uncertainty of a friction potential value of a wheel of a vehicle comprises obtaining a range of tire models (72). The method further comprises receiving a sensor signal (74) indicative of at least one actual tire-related value. Finally, a friction uncertainty value is calculated (76) based on the received sensor signal and the range of tire models. The friction uncertainty value is indicative of the uncertainty of the friction potential.

Abstract: The disclosed invention makes use of a wheel speed signal to detect a wheel anomaly such as a loose wheel or a wheel with zero pressure. The wheel speed signal is used as a basis to determine a first and a second detection signal. A further basis for determining the first and second detection signals are a first and second reference signal, respectively. The anomaly of e.g. a loose wheel is detected, according to the teaching of the invention if at least one of the detection signals exceeds a threshold. In particular, the disclosure relates to methods, systems and computer program products to achieve the mentioned objective.

Abstract: The disclosure relates to systems, methods and computer program products for detecting tire pressure loss in tires of a vehicle. The system comprises a sensor, which is arranged at the vehicle remotely from the tires, mechanically coupled at least indirectly to a chassis of the 5 vehicle, and configured to detect a property indicative of tilting spatial movement of the chassis. The system further comprises a processing unit, which is communicatively coupled with the sensor, configured to receive sensor signals from the sensor, the sensor signals being indicative of tilting spatial movement of the chassis, and configured to detect a tire pressure based on the sensor signals. The processing unit is configured to detect a tire pressure loss responsive to the 10 sensor signals indicating a tilting spatial movement of the chassis towards the at least one tire.

Abstract: The disclosed invention makes use of slip related values to calculate friction related values and tire stiffness related values and feeds back an estimated tire stiffness relates value or a calculated friction related as a basis for further calculations. In particular, the disclosure relates to methods, apparatuses and computer program products to achieve the mentioned objective.

Abstract: A system for estimating the friction between a road surface and a tire of a vehicle includes at least one first sensor and at least one vehicle processing device containing a friction estimation algorithm which is arranged to estimate the friction between the road surface and the tire of the vehicle based on friction related measurements is provided. The vehicle processing device is arranged to: receive an estimate of the expected friction between the road surface and the tire of the vehicle from a central processing device, from a storage device in the vehicle, or from at least one second sensor in the vehicle; adapt the friction estimation algorithm based on said received estimate of the expected friction; receive at least one friction related measurement from the at least one first sensor in the vehicle; and use the adapted friction estimation algorithm to perform an estimation of the friction between the road surface and the tire of the vehicle based on the at least one friction related measurement.

Abstract: A system for determining a tire change status in a vehicle is provided. The system includes at least one processing device and a storage device. The at least one processing device may be arranged to: calculate a value of at least one reference parameter which may be used in indirect tire pressure monitoring; store the calculated value of said at least one reference parameter in the storage device; retrieve a previously stored value of said at least one reference parameter from the storage device; determine a similarity parameter based on a similarity between the calculated value and the previously stored value of said at least one reference parameter; and determine a tire change status, indicating whether or not the tires have been re-filled or replaced, by comparing said similarity parameter with a threshold.

Abstract: A system for determining a tire pressure status in a vehicle is provided. The system includes at least one processing device, which may be arranged to: estimate values of a set of predetermined vehicle parameters; calculate a tire pressure parameter as a predetermined function of the values of the set of predetermined vehicle parameters, wherein said predetermined function has been generated by training a machine learning system, such as, for example, a neural network or a Support Vector Machine, using values of a large number of sets of predetermined vehicle parameters and associated tire pressure parameters; and determine a tire pressure status, indicating whether or not there is tire under-inflation, by comparing said tire pressure parameter with a threshold.

Abstract: A system for monitoring the condition of a road surface travelled by a plurality of vehicles, each including at least one sensor, is provided. The system includes a central processing arrangement arranged to: map at least a part of the road surface with a number of cells; receive road surface data for the cells, which road surface data is based on measurements made by the sensors as the plurality of vehicles travel on the road surface; and calculate a probability for at least one road surface parameter for each cell travelled by the plurality of vehicles based at least on road surface data received from the plurality of vehicles.

Abstract: Methods, apparatuses and computer program products for estimating absolute wheel roll radii and/or a vertical compression value of wheels of a vehicle are disclosed, wherein yaw rates of the vehicle, wheel speeds of first and second wheels, and optionally lateral acceleration of the vehicle are measured and used as a basis for the estimation.

Abstract: A system for monitoring the condition of a road surface travelled by a plurality of vehicles, each including at least one sensor, is provided. The system includes a central processing arrangement arranged to: map at least a part of the road surface with a number of cells; receive road surface data for the cells, which road surface data is based on measurements made by the sensors as the plurality of vehicles travel on the road surface; and calculate a probability for at least one road surface parameter for each cell travelled by the plurality of vehicles based at least on road surface data received from the plurality of vehicles.

Abstract: The present disclosure relates to the estimation of a velocity of a first object using accelerometer signals, indicating an acceleration of the first object and/or a second object coupled to a first object. To this end, a characteristic frequency in the accelerometer signal spectrum may be determined, preferably by applying a parametric model or by performing a spectrum analysis, and used as a basis to estimate the velocity of the first object based on the determined characteristic frequency. The characteristic frequency may be determined by identifying the frequency having the maximum spectral amplitude or by identifying the fundamental frequency or a particular harmonic in the spectrum.

Abstract: In accordance with one or more embodiments herein, a system for monitoring the condition of a road surface traveled by a plurality of vehicles, each comprising at least one sensor, is provided. The system comprises a central processing arrangement arranged to: map at least a part of the road surface with a number of cells; receive road surface data for the cells, which road surface data is based on measurements made by the sensors as the plurality of vehicles travel on the road surface; and calculate a probability for at least one road surface parameter for each cell traveled by the plurality of vehicles based at least on road surface data received from the plurality of vehicles.

Abstract: A system for determining a tire pressure status in a vehicle is provided. The system includes at least one processing device, which may be arranged to: estimate values of a set of predetermined vehicle parameters; calculate a tire pressure parameter as a predetermined function of the values of the set of predetermined vehicle parameters, wherein said predetermined function has been generated by training a machine learning system, such as, for example, a neural network or a Support Vector Machine, using values of a large number of sets of predetermined vehicle parameters and associated tire pressure parameters; and determine a tire pressure status, indicating whether or not there is tire under-inflation, by comparing said tire pressure parameter with a threshold.

Abstract: A system for determining a tire change status in a vehicle is provided. The system includes at least one processing device and a storage device. The at least one processing device may be arranged to: calculate a value of at least one reference parameter which may be used in indirect tire pressure monitoring; store the calculated value of said at least one reference parameter in the storage device; retrieve a previously stored value of said at least one reference parameter from the storage device; determine a similarity parameter based on a similarity between the calculated value and the previously stored value of said at least one reference parameter; and determine a tire change status, indicating whether or not the tires have been re-filled or replaced, by comparing said similarity parameter with a threshold.

Abstract: A system for estimating the friction between a road surface and a tire of a vehicle includes at least one first sensor and at least one vehicle processing device containing a friction estimation algorithm which is arranged to estimate the friction between the road surface and the tire of the vehicle based on friction related measurements is provided. The vehicle processing device is arranged to: receive an estimate of the expected friction between the road surface and the tire of the vehicle from a central processing device, from a storage device in the vehicle, or from at least one second sensor in the vehicle; adapt the friction estimation algorithm based on said received estimate of the expected friction; receive at least one friction related measurement from the at least one first sensor in the vehicle; and use the adapted friction estimation algorithm to perform an estimation of the friction between the road surface and the tire of the vehicle based on the at least one friction related measurement.

Abstract: In accordance with one or more embodiments herein, a system for monitoring the condition of a road surface travelled by a plurality of vehicles, each comprising at least one sensor, is provided. The system comprises a central processing arrangement arranged to: map at least a part of the road surface with a number of cells; receive road surface data for the cells, which road surface data is based on measurements made by the sensors as the plurality of vehicles travel on the road surface; and calculate a probability for at least one road surface parameter for each cell travelled by the plurality of vehicles based at least on road surface data received from the plurality of vehicles.

Abstract: A system and method for issuing a tire pressure deviation in a vehicle's tire is described. The system may include a calculation unit adapted to calculate temporally successive output signals indicative of a tire pressure condition in the vehicle's tire on the basis of temporally successive vehicle's signals. The system may also include a calibration unit adapted to determine a calibration value on the basis of a number of temporally successive output signals from the calculation unit. The system may also include a detection unit configured to detect a tire pressure deviation in the vehicle's tire on the basis of further temporally successive output signals from the calculation unit and the calibration value from the calibration unit, after determination of the calibration value by the calibration unit.

Abstract: The present invention relates to the detection of a short term irregularity under a driving vehicle having a first wheel, by determining a first sensor signal indicative of time dependent vibrations at the first wheel, using a first sensor; determining a second sensor signal indicative of a vertical movement the vehicle chassis, using a second sensor; and detect a short term irregularity of a road surface under the driving vehicle based on the first sensor signal and the second sensor signal.

Abstract: System for determining tire wear for tires of a wheeled motor vehicle including a direct tire pressure determination unit being configured to measure at least the tire pressure of the tires; an indirect tire pressure determination unit being configured to determine for at least some of the tires a roll radius factor corresponding to or depending from the roll radius of the respective tire; a tire force determination unit being configured to determine a vertical force factor corresponding to or depending from a vertical force applied to the tires; and a processing unit for determining the tire wear for such tires of the motor vehicle for which the indirect tire pressure determination unit provides the respective roll radius factor, namely by compensating the roll radius factor of the tires provided by the indirect tire pressure determination unit.

Abstract: A method and system for indirect tire pressure monitoring of tires of a vehicle is described. The method may include providing a tire classification database indicating at least one classified tire type. The method may also include determining a vehicle tire type for the vehicle on the basis of vehicle data in including information on at least one tire currently used with the vehicle, and determining whether the vehicle tire type can be associated to one of the at least one classified tire type. The method may also include, in the case an association is determined, monitoring tire pressure according to the associated classified tire type.