The disclosure provides a driving force applied position estimation system that can accurately estimate an applied position of a driving force from an occupant. A measurement system includes a six-axis force sensor provided in a wheelchair, a rotation angle recognition part which recognizes a rotation angle of the six-axis force sensor, and a COP estimation part which estimates a COP that is the applied position of the driving force from the occupant to the wheelchair. The COP estimation part estimates the COP based on a translational force and a moment detected by the six-axis force sensor and based on the rotation angle recognized by the rotation angle recognition part to improve estimation accuracy of the COP estimation part and measurement accuracy of the measurement system.

The disclosure provides a driving force applied position estimation system that can accurately estimate an applied position of a driving force from an occupant. A measurement system includes a six-axis force sensor provided in a wheelchair, a rotation angle recognition part which recognizes a rotation angle of the six-axis force sensor, and a COP estimation part which estimates a COP that is the applied position of the driving force from the occupant to the wheelchair. The COP estimation part estimates the COP based on a translational force and a moment detected by the six-axis force sensor and based on the rotation angle recognized by the rotation angle recognition part to improve estimation accuracy of the COP estimation part and measurement accuracy of the measurement system.

Methods and systems are disclosed for predicting an outcome associated with a driver of a vehicle using a machine learning statistical model. The disclosed techniques include obtaining a plurality of input vectors for plurality of points in time, wherein each input vector includes a plurality of variables with a weight vector. Each variable represents data captured from a sensor or a data source. A training dataset for the machine learning model is created by capturing the values of outcome of interest for various values of each input vector for each point in time. The outcome of interest is the predicted by utilizing the machine learning model. In various embodiments, the predicted outcome of interest may be a risk or an energy consumption level associated with the driver.

Methods and systems are disclosed for predicting an outcome associated with a driver of a vehicle using a machine learning statistical model. The disclosed techniques include obtaining a plurality of input vectors for plurality of points in time, wherein each input vector includes a plurality of variables with a weight vector. Each variable represents data captured from a sensor or a data source. A training dataset for the machine learning model is created by capturing the values of outcome of interest for various values of each input vector for each point in time. The outcome of interest is the predicted by utilizing the machine learning model. In various embodiments, the predicted outcome of interest may be a risk or an energy consumption level associated with the driver.

Methods and systems for estimating an amount of torque that is transferred via a differential ring gear assembly are described. In one example, axial displacement of the differential ring gear assembly is determined and converted into a torque estimate. The torque estimate may be used to verify other powertrain torque estimates or for closed loop torque control.

Methods and systems for estimating an amount of torque that is transferred via a differential ring gear assembly are described. In one example, axial displacement of the differential ring gear assembly is determined and converted into a torque estimate. The torque estimate may be used to verify other powertrain torque estimates or for closed loop torque control.

A method for tire force reserve estimation is applicable to a vehicle. In the method, vehicle motion information including the longitudinal acceleration, the lateral acceleration, the change of the tire rotation angle at different times, the change of the yaw at different times, the steering angle of the steering tires, etc. is continuously detected, for estimating the current normal force, the current longitudinal force and the current lateral force of each of the tires. Finally, the current normal force, the current longitudinal force, the current lateral force and the coefficient of friction of the road relative to the tires are applied to estimate the longitudinal tire force reserve and the lateral tire force reserve.

A method for tire force reserve estimation is applicable to a vehicle. In the method, vehicle motion information including the longitudinal acceleration, the lateral acceleration, the change of the tire rotation angle at different times, the change of the yaw at different times, the steering angle of the steering tires, etc. is continuously detected, for estimating the current normal force, the current longitudinal force and the current lateral force of each of the tires. Finally, the current normal force, the current longitudinal force, the current lateral force and the coefficient of friction of the road relative to the tires are applied to estimate the longitudinal tire force reserve and the lateral tire force reserve.

The invention relates to a drive system for an, in particular electrically driven, aircraft. The drive system is provided with thrust measuring means which measure a currently effective thrust of the thrust generator of the aircraft. The measurement values obtained in this way are supplied to a controller of the drive system, which uses the measured thrust, along with other parameters, to control the drive system such that a selectable parameter, e.g. the thrust or an efficiency of the drive system, can be is optimised.

A force sensor is suitable for an electrohydraulic hitch control system of an agricultural tractor. The force sensor has an outer cylindrical part with a bore and a measuring rod fixed on one side in the bore. A central section of the cylindrical part is provided as force introduction section. Two outer sections of the cylinder part are removed equally far axially from the center of the force introduction section and are provided as abutment sections. The measuring rod is clamped in an area of the force introduction section.