G01G9/00

Patient weight estimation from surface data using a patient model

For patient weight estimation in a medical imaging system, a patient model, such as a mesh, is fit to a depth image. One or more feature values are extracted from the fit patient model, reducing the noise and clutter in the values. The weight estimation is regressed from the extracted features.

Vehicle center of gravity height detection and vehicle mass detection using light detection and ranging point cloud data
11702085 · 2023-07-18 · ·

Vehicle center of gravity (CoG) height and mass estimation techniques utilize a light detection and ranging (LIDAR) sensor configured to emit light pulses and capture reflected light pulses that collectively form LIDAR point cloud data and a controller configured to estimate the CoG height and the mass of the vehicle during a steady-state operating condition of the vehicle by processing the LIDAR point cloud data to identify a ground plane, identifying a height difference between (i) a nominal distance from the LIDAR sensor to the ground plane and (ii) an estimated distance from the LIDAR sensor to the ground plane using the processed LIDAR point cloud data, estimating the vehicle CoG height as a difference between (i) a nominal vehicle CoG height and the height difference, and estimating the vehicle mass based on one of (i) vehicle CoG metrics and (ii) dampening metrics of a suspension of the vehicle.

Vehicle center of gravity height detection and vehicle mass detection using light detection and ranging point cloud data
11702085 · 2023-07-18 · ·

Vehicle center of gravity (CoG) height and mass estimation techniques utilize a light detection and ranging (LIDAR) sensor configured to emit light pulses and capture reflected light pulses that collectively form LIDAR point cloud data and a controller configured to estimate the CoG height and the mass of the vehicle during a steady-state operating condition of the vehicle by processing the LIDAR point cloud data to identify a ground plane, identifying a height difference between (i) a nominal distance from the LIDAR sensor to the ground plane and (ii) an estimated distance from the LIDAR sensor to the ground plane using the processed LIDAR point cloud data, estimating the vehicle CoG height as a difference between (i) a nominal vehicle CoG height and the height difference, and estimating the vehicle mass based on one of (i) vehicle CoG metrics and (ii) dampening metrics of a suspension of the vehicle.

Load meter and load measurement method

A load meter includes a detector, a storage unit, and a load calculator. The detector detects, by using a captured image obtained by capturing a road and a vehicle present on the road, a displacement amount in the captured image, the displacement amount corresponding to displacement caused on the road by application of a load of the vehicle. The storage unit stores information indicating a relation between the load and the displacement amount. The load calculator calculates the load based on the displacement amount and the information.

Load meter and load measurement method

A load meter includes a detector, a storage unit, and a load calculator. The detector detects, by using a captured image obtained by capturing a road and a vehicle present on the road, a displacement amount in the captured image, the displacement amount corresponding to displacement caused on the road by application of a load of the vehicle. The storage unit stores information indicating a relation between the load and the displacement amount. The load calculator calculates the load based on the displacement amount and the information.

WEIGHT ESTIMATION SYSTEM, WEIGHT ESTIMATION METHOD, AND RECORDING MEDIUM
20220394956 · 2022-12-15 ·

A weight estimation system includes: an image capturer that captures an image of an inside of a poultry house; a calculator that calculates a flocking behavior feature quantity of chickens in the poultry house by performing image processing on the image captured by the image capturer; and an estimator that estimates a weight for each chicken in the poultry house, based on the flocking behavior feature quantity calculated.

WEIGHT ESTIMATION SYSTEM, WEIGHT ESTIMATION METHOD, AND RECORDING MEDIUM
20220394956 · 2022-12-15 ·

A weight estimation system includes: an image capturer that captures an image of an inside of a poultry house; a calculator that calculates a flocking behavior feature quantity of chickens in the poultry house by performing image processing on the image captured by the image capturer; and an estimator that estimates a weight for each chicken in the poultry house, based on the flocking behavior feature quantity calculated.

X-ray-based determining of weights for coated substrates

A measurement apparatus includes an x-ray sensor including an x-ray source having a high voltage power supply for emitting an x-ray spectrum and an x-ray detector for providing a measured x-ray signal value responsive to the x-rays received after transmission through a coated substrate including a sheet material having a coating material thereon. A second sensor is a beta gauge or infrared sensor for providing a second sensor signal that includes data for determining a total weight per unit area of the coated substrate or of the sheet material A computing device receives the measured x-ray signal value and the second sensor signal configured to implement an x-ray based calculation that utilizes absorption coefficients for the coating material and sheet material, the measured x-ray signal value, the x-ray spectrum, and the weight measure as a calculation constraint, for computing at least the weight per unit area of the coating material.

Barge gauging with lidar for determining the position of a barge surface and the position of a water surface

A draft survey apparatus for gauging a barge by determining a weight of bulk materials loaded and discharged from the barge in water wherein the water level is provided. The draft survey apparatus includes a light source for emitting photons radially outward from the light source, a receiver for receiving the photons reflected off of the barge and surface, the receiver operable to sense a return angle of the photons, and a processor operable to determine a position of the objects and surfaces in three dimensional space based on the return angle of the photons and a time delay of photons between emission and receipt. The processor is operable to determine the weight of the bulk materials on the barge based on a height of barge above the water level.

Barge gauging with lidar for determining the position of a barge surface and the position of a water surface

A draft survey apparatus for gauging a barge by determining a weight of bulk materials loaded and discharged from the barge in water wherein the water level is provided. The draft survey apparatus includes a light source for emitting photons radially outward from the light source, a receiver for receiving the photons reflected off of the barge and surface, the receiver operable to sense a return angle of the photons, and a processor operable to determine a position of the objects and surfaces in three dimensional space based on the return angle of the photons and a time delay of photons between emission and receipt. The processor is operable to determine the weight of the bulk materials on the barge based on a height of barge above the water level.