Embodiments of the present disclosure provide a method and apparatus for determining a velocity of an obstacle, a device, and a medium. An implementation includes: acquiring a first point cloud data of the obstacle at a first time and a second point cloud data of the obstacle at a second time; registering the first point cloud data and the second point cloud data by moving the first point cloud data or the second point cloud data; and determining a moving velocity of the obstacle based on a distance between two data points in a registered data point pair.

A method for estimating the weight of loads carried by implements may include controlling an implement subject to actual weighing conditions to lift a load and receiving an input indicative of a sensed force associated with lifting the load. The method may further include determining a correlation value indicative of a correlation between first and second force values for lifting a given load with the implement as a function of the actual weighing conditions and as a function of nominal weighing conditions, respectively, where at least one of the actual weighing conditions differs from at least one of the nominal weighing conditions. Furthermore, the method may include determining an adjusted force value for lifting the load based at least in part on the sensed force and the correlation value. Additionally, the method may include estimating the weight of the load based at least in part on the adjusted force value.

A method for estimating the weight of loads carried by implements may include controlling an implement subject to actual weighing conditions to lift a load and receiving an input indicative of a sensed force associated with lifting the load. The method may further include determining a correlation value indicative of a correlation between first and second force values for lifting a given load with the implement as a function of the actual weighing conditions and as a function of nominal weighing conditions, respectively, where at least one of the actual weighing conditions differs from at least one of the nominal weighing conditions. Furthermore, the method may include determining an adjusted force value for lifting the load based at least in part on the sensed force and the correlation value. Additionally, the method may include estimating the weight of the load based at least in part on the adjusted force value.

A method for estimating load weights for a work vehicle including a boom pivotably coupled to the chassis of the work vehicle at a boom joint and an implement pivotably coupled to the boom at an implement joint may include receiving an input indicative of a tilt force associated with a tilt cylinder configured to pivot the implement about the implement joint, and an input indicative of a lift force associated with a lift cylinder configured to pivot the boom about the boom joint. The method may further include determining a torque about the implement joint caused by the load based on the tilt force and determining a torque about the boom joint caused by the load based on the lift and tilt forces. Additionally, the method may include estimating a weight of the load based on the torques about the boom and implement joints.

A method for estimating load weights for a work vehicle including a boom pivotably coupled to the chassis of the work vehicle at a boom joint and an implement pivotably coupled to the boom at an implement joint may include receiving an input indicative of a tilt force associated with a tilt cylinder configured to pivot the implement about the implement joint, and an input indicative of a lift force associated with a lift cylinder configured to pivot the boom about the boom joint. The method may further include determining a torque about the implement joint caused by the load based on the tilt force and determining a torque about the boom joint caused by the load based on the lift and tilt forces. Additionally, the method may include estimating a weight of the load based on the torques about the boom and implement joints.

An apparatus for measuring velocities of projectiles launched from firearms is disclosed. The apparatus includes a stationary clamp arm and a movable clamp arm works in concert with the stationary clamp arm for clamping the apparatus to a firearm. A thumb screw is employed to secure the movable clamp arm and the stationary clamp arm to the firearm. A sensor module, which is integrated to the stationary clamp, includes a first and second sensor coils, a first magnet adjacent to the first sensor coil, and a second magnet adjacent to the second sensor coil.

An apparatus for measuring velocities of projectiles launched from firearms is disclosed. The apparatus includes a stationary clamp arm and a movable clamp arm works in concert with the stationary clamp arm for clamping the apparatus to a firearm. A thumb screw is employed to secure the movable clamp arm and the stationary clamp arm to the firearm. A sensor module, which is integrated to the stationary clamp, includes a first and second sensor coils, a first magnet adjacent to the first sensor coil, and a second magnet adjacent to the second sensor coil.

Embodiments of the present disclosure provide a method and device for detecting a speed of an obstacle, a computer device, and a storage medium. The method includes: calculating at least two real-time speeds corresponding to the obstacle by using a multi-frame difference algorithm according to multi-frame data acquired by a sensor in a preset time window; calculating at least two speed statistic values corresponding to the obstacle according to the at least two real-time speeds; mapping each of the at least two speed statistic values to a corresponding static probability according to a mapping relationship between speed statistic values and static probabilities, to obtain at least two static probabilities; and fusing the at least two static probabilities to obtain a fused static probability of the obstacle, and determining the speed of the obstacle according to the fused static probability.

Embodiments of the present disclosure provide a method and device for detecting a speed of an obstacle, a computer device, and a storage medium. The method includes: calculating at least two real-time speeds corresponding to the obstacle by using a multi-frame difference algorithm according to multi-frame data acquired by a sensor in a preset time window; calculating at least two speed statistic values corresponding to the obstacle according to the at least two real-time speeds; mapping each of the at least two speed statistic values to a corresponding static probability according to a mapping relationship between speed statistic values and static probabilities, to obtain at least two static probabilities; and fusing the at least two static probabilities to obtain a fused static probability of the obstacle, and determining the speed of the obstacle according to the fused static probability.

A velocity measuring device includes an event sensor, a ranging sensor and a controller. The event sensor could detect a first image frame of an object along a plane at a first time point and detect a second image frame of the object at a second time point. The ranging sensor could detect a first depth of the object along a depth direction at the first time point, wherein the depth direction is substantially perpendicular to the plane and detect a second depth of the object along the depth direction at the second time point. The controller could obtain first-dimensional velocity and a second-dimensional velocity along the plane according to the first image frame, the second image frame, the first depth and the second depth, and obtain a third-dimensional velocity along the depth direction according to the first depth or the second depth.