A system and methods for generating automated real-time live video stream of a target that is moving around an obstacle of pre-defined area uses an automated video streaming provided with a plurality of video cameras that are positioned about the pre-defined area by tracking the moving target and displaying the moving target on the animated timeline such as current class leader will be automatically displayed and compared, in real time, with the rider on the track and integrating the data collected by the wireless network to make video stream from that camera to the optimized video stream.

A speed evaluation system is provided for assessing a speed of a vehicle. The speed evaluation system includes a wear measurement system, which assesses a state of a tire of the vehicle. The wear measurement system includes a casing placed on a ground surface. The speed evaluation system further includes a timing device that determines at least two instants of passage of the vehicle over two distinct or non-distinct points of passage of the casing of the wear measurement system, and a processor that calculates, as a function of the instants of passage and of dimensional data of the casing and/or dimensional data of the vehicle, a speed of passage of the vehicle over the casing. A method of implementing the speed evaluation system also is provided.

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.

In order to simplify the troubleshooting in a cableway during operation of the cableway, a unique car identification is assigned to each car, with the car identification of each car being known by the cableway control system. At least one function monitoring unit transmits malfunctions triggered by cars during the operation of the cableway to the cableway control system in a function status message FSi. The cableway control system assigns a malfunction that was received to the triggering car and the malfunctions together with the car identification of the triggering car are stored and evaluated in the cableway control system.

In order to simplify the troubleshooting in a cableway during operation of the cableway, a unique car identification is assigned to each car, with the car identification of each car being known by the cableway control system. At least one function monitoring unit transmits malfunctions triggered by cars during the operation of the cableway to the cableway control system in a function status message FSi. The cableway control system assigns a malfunction that was received to the triggering car and the malfunctions together with the car identification of the triggering car are stored and evaluated in the cableway control system.

Deriving a clean timing signal from a waveform is disclosed. A sensor-of-interest (SOI) sample set and a waveform sample set that correspond to the SOI sample set in time is collected. The waveform sample set is partitioned into a plurality of waveform sample subsets, and the SOI sample set is partitioned into a plurality of SOI sample subsets, each SOI sample subset corresponding to one of the plurality of waveform sample subsets. A plurality of waveform sample subset angular speeds is determined, wherein each waveform sample subset angular speed corresponds to a different waveform sample subset. An aggregate mean angular speed based on the plurality of waveform sample subset angular speeds is determined. Each SOI sample subset is resampled to the aggregate mean angular speed based on the corresponding waveform sample subset angular speed to generate a plurality of resampled SOI subsets.

Deriving a clean timing signal from a waveform is disclosed. A sensor-of-interest (SOI) sample set and a waveform sample set that correspond to the SOI sample set in time is collected. The waveform sample set is partitioned into a plurality of waveform sample subsets, and the SOI sample set is partitioned into a plurality of SOI sample subsets, each SOI sample subset corresponding to one of the plurality of waveform sample subsets. A plurality of waveform sample subset angular speeds is determined, wherein each waveform sample subset angular speed corresponds to a different waveform sample subset. An aggregate mean angular speed based on the plurality of waveform sample subset angular speeds is determined. Each SOI sample subset is resampled to the aggregate mean angular speed based on the corresponding waveform sample subset angular speed to generate a plurality of resampled SOI subsets.

A contactless odometer system can include a sensor array. The sensor array can include a plurality of sensing elements adjacent to a target surface and configured to receive signals based on a distance separating the sensing element from the adjacent surface and a defect present below the adjacent surface of the target. The system can also include a controller configured to receive the signals from first and second locations within the target and to generate first and second defect maps corresponding to the first and second locations. The controller can identify overlapping portions of first and second defect maps and can determine a translation distance in at least one direction. Related methods of determining a distance traveled by a contactless odometer system are also provided.

A contactless odometer system can include a sensor array. The sensor array can include a plurality of sensing elements adjacent to a target surface and configured to receive signals based on a distance separating the sensing element from the adjacent surface and a defect present below the adjacent surface of the target. The system can also include a controller configured to receive the signals from first and second locations within the target and to generate first and second defect maps corresponding to the first and second locations. The controller can identify overlapping portions of first and second defect maps and can determine a translation distance in at least one direction. Related methods of determining a distance traveled by a contactless odometer system are also provided.