The disclosure discloses an apparatus for online volumetrically detecting grain yield based on weight calibration comprising left volumetric granary, right volumetric granary and push board. The left volumetric granary is provided on its bottom with first weighing sensor, and in its side with unload grain port opening and first closing door, the right volumetric granary is provided on its bottom with second weighing sensor, and in its side with unload grain port opening and second closing door, the left volumetric granary and the right volumetric granary are provided on their tops with the push board, the push board is a hollow box structure with a top side and a bottom side both opened, and is slidably mounted to a top of the left volumetric granary and the right volumetric granary through a slide driving mechanism.

A method at a sensor apparatus affixed to a transportation asset. The method includes calibrating the sensor apparatus by initiating a vertical impact at the transportation asset, measuring spring oscillation and creating a model of the transportation asset. The method further includes detecting, subsequent to the calibrating, an impact event at the sensor apparatus. The method further includes measuring spring oscillation due to the impact event at the sensor apparatus and using the measured spring oscillation in the model created during calibration to create a load mass estimate for the transportation asset.

Systems and techniques for increasing the efficiency of a process of providing a resource by a resource provider are disclosed. In one example, a method detects a presence of a vehicle at a fuel dispenser, transmits an authorization request message automatically in response to detecting the presence of the vehicle, and automatically allows the fuel dispenser to dispense fuel to the vehicle.

A control method for distribution of braking force of an autonomous vehicle may include a vertical load determination step in which a controller is configured to recognize an object existing in an interior of the vehicle and recognizes data of at least one among a position in the vehicle, a size, volume, density, weight, and center of gravity of the corresponding object, and determines a vertical load applied to each wheel of the vehicle according to the recognized data, wherein the controller transmits data of the determined vertical load of each wheel to a brake controller electrically connected to the controller, and the brake controller 40 determines an amount of the distribution of the braking force for each wheel of the vehicle according to the received data of the vertical load and drives a brake actuator electrically connected to the brake controller according to the determined amount of the distribution of the braking force.

A measurement device is configured to calculate, based on second measurement data provided by a distance detector, second contour data indicating a surface contour of an object contained in the container at a second time after a first time; calculate differential information indicating a difference between first posture data and second posture data which is posture data provided by a posture detector at the second time; rotate, based on the differential information, the second contour data in a three-dimensional coordinate space of the distance detector; and specify a region defined by the rotated second contour data and the first contour data, and calculate, based on the specified region, a volume of the object contained in the container at the second time.

Systems and methods for determining an estimated weight of a vehicle are provided. The system includes at least one data storage and at least one processor. The at least one data storage is configured to store vehicle data associated with the vehicle. The at least one processor is configured to: identify a plurality of vehicle maneuvers based on the vehicle data, each vehicle maneuver being associated with a portion of the vehicle data, each portion of the vehicle data comprising a measured torque profile; generate a plurality of simulated torque profiles for each vehicle maneuver; generate a plurality of error profiles, an error profile being generated for each vehicle maneuver based on differences between the plurality of simulated torque profiles and the measured torque profile corresponding to that vehicle maneuver; and determine the estimated weight of the vehicle based on the plurality of error profiles.

Methods and systems for estimating an axle load of a vehicle are described. In one example, a method is disclosed wherein axle load is estimated in response to an angle between two components of an axle. The angle may change as weight is added to or removed from the axle such that axle load may be determined as a function of the angle.

A power adjustment system and a power adjustment method of an autonomous mobile device are provided. In the power adjustment method, two first current control signals respectively transmitted to two drivers are outputted by a control module. A tilt angle of the autonomous mobile device is detected by an inertial measurement module. A travel route is planned by a navigation module, and the control module obtains a steering angle of the autonomous mobile device during a traveling process. According to different weight values of the autonomous mobile device stored in a database module, a weight of the autonomous mobile device is estimated by the control module. According to the two first current control signals and the weight, the steering angle, and the tilt angle of the autonomous mobile device, two second current control signals respectively transmitted to the two drivers are outputted by the control module.

A computer implemented method for controlling a vehicle includes obtaining a value of the mass of the vehicle, receiving a plurality of time sequential measured first values of one or more further state parameters, calculating a first plurality of time sequential values of the vehicle mass, including a first calculated mass value, using the plurality of measured first values of the one or more further state parameters, the non-linear model, and an extended Kalman filter with a first filter tuning, with the obtained mass value as a start value, receiving a plurality of time sequential measured second values of the one or more of the further state parameters, and calculating a second plurality of time sequential values of the vehicle mass, including a second calculated mass value, using the plurality of measured second values of the one or more further state parameters, the non-linear model, and an extended Kalman filter with a second filter tuning, with the first calculated mass value as a start value, wherein the second filter tuning is made less aggressive than the first filter tuning.

A method for dynamically determining a mass of a vehicle including a propulsion system coupled to a drive wheel is described, and includes monitoring vehicle operating conditions, executing an event-based estimation method based upon the vehicle operating conditions to determine a first vehicle mass state, and executing a recursive estimation method based upon the vehicle operating conditions to determine a second vehicle mass state. A final vehicle mass is determined based upon the first and second vehicle mass states.