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 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: 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 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 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: 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: 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.

Abstract: The invention provides a system, a method and a computer program of estimating tire pressure deviations in a number of tires of a vehicle wherein a plurality of possible constellations of one or more pressure deviating tires exists. The system comprises a plurality of pressure deviation detectors (11), wherein each of the detectors (11) is adapted to detect at least one of the pressure deviating tire constellations. The system further comprises an output unit (12) which is adapted to provide for a warning if one of the pressure deviation detectors (11) detects at least one of the pressure deviating tire constellations.

Abstract: A method, system and computer program product for detecting a tire pressure deviation in a tire of a vehicle by determining tire pressure indicating data indicative of a tire pressure condition of the tire and determining tire pressure deviation data indicative of a tire pressure deviation in the tire.

Abstract: A method, an apparatus and a computer program product for estimating the current load of a vehicle wherein a filter bank including a filter for different weight classes, each filter implementing a vehicle model for estimating the current mass of the vehicle. Based on vehicle data indicative of a current driving situation of the vehicle, and filter parameter specific for the respective weight class, each filter provides a load estimation value as filter specific estimation of the current load of the vehicle.

Abstract: The invention is directed to a system, a method and a computer program including program code for carrying out the method, when executed on a processing system, of estimating a tire pressure deviation of a vehicle's tire (2). The system includes an input section (100) adapted to receive as an input signal a vehicle signal, a calculation section (200) adapted to calculate at least one shape factor of a resonance peak associated with the vehicle signal spectrum (2) on the basis of the input signal, and a determination section (300) adapted to derive, depending on said at least one shape factor, a tire pressure signal indicative of a tire pressure deviation within the vehicle's tire (2).

Abstract: In indirect tire pressure monitoring of tires of a vehicle, the following steps and means to carry out the same, respectively, are contemplated:—providing a tire classification database indicating at least one classified tire type;—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,—determining whether the vehicle tire type can be associated to one of the at least one classified tire type; and—, in the case an association is determined, monitoring tire pressure according to the associated classified tire type.