In one embodiment, a method includes receiving first Light Detection and Ranging (LiDAR) data associated with a railroad environment, extracting an asset from the first LiDAR data associated with the railroad environment, and superimposing the asset into a spatial model. The method also includes receiving a field indication associated with a modification to the railroad environment and modifying the spatial model in response to receiving the field indication associated with the modification to the railroad environment. The method further includes receiving second LiDAR data associated with the railroad environment and comparing the second LiDAR data to the modified spatial model.

A method for determining an actual geometry of a track by a track inspection vehicle which is movable on the track, wherein reference points positioned in a lateral environment of the track are automatically recorded by a non-contacting recording system arranged on the track inspection vehicle and their respective actual distance from the track is determined. A three-dimensional trajectory of the track is recorded by an inertial measuring system arranged on the track inspection vehicle, wherein the trajectory is divided by a computing unit into trajectory sections each having a section starting point related to a first reference point and a section end point related to a second reference point, wherein a virtual longitudinal chord is defined for each trajectory section in relation to the assigned reference points, and wherein actual distances between the trajectory and the respectively defined longitudinal chord are calculated for each trajectory section.

A method for calibrating a device for measuring tracks having a track-driveable track-measuring car with a lifting and lining device and track-position measurement sensors measuring the height, direction and superelevation of the rails of the track using the machine frame as a reference zero line. A lifting and lowering device is associated with the track-measuring car. A calibration device is associated with the machine frame the track-measuring car, for calibrating the sensors, is first lowered from a parking position, in which the track-measuring car is lifted from the track, onto the track or into an intermediate position. Calibration stops are moved by an actuator from an idle position into a calibration position, against which the track-measuring car is subsequently raised and applied. The values of the track-position measurement sensors are read out and stored in the measurement system as calibration values, and the track-measuring car is lowered onto the track.

A method for calibrating a device for measuring tracks having a track-driveable track-measuring car with a lifting and lining device and track-position measurement sensors measuring the height, direction and superelevation of the rails of the track using the machine frame as a reference zero line. A lifting and lowering device is associated with the track-measuring car. A calibration device is associated with the machine frame the track-measuring car, for calibrating the sensors, is first lowered from a parking position, in which the track-measuring car is lifted from the track, onto the track or into an intermediate position. Calibration stops are moved by an actuator from an idle position into a calibration position, against which the track-measuring car is subsequently raised and applied. The values of the track-position measurement sensors are read out and stored in the measurement system as calibration values, and the track-measuring car is lowered onto the track.

The present invention defines a method of determining a vertical profile signal of a rail surface that includes, obtaining a vertical acceleration signal acc.sub.1, by measuring vertical acceleration of a bogie of a rail vehicle that runs on the rail surface; processing the vertical acceleration signal to obtain a vertical velocity signal; determining the vertical profile signal of the rail surface, by using the vertical acceleration signal and the vertical velocity signal as inputs to a simulation model of the bogie, the model having an unsprung mass connected to a sprung mass, the vertical acceleration signal acc.sub.1 represents the vertical acceleration of the unsprung mass; and measuring a linear velocity signal of the rail vehicle, the linear velocity signal is used in the step of determining to convert the vertical profile signal from the time domain to the distance domain.

The present invention defines a method of determining a vertical profile signal of a rail surface that includes, obtaining a vertical acceleration signal acc.sub.1, by measuring vertical acceleration of a bogie of a rail vehicle that runs on the rail surface; processing the vertical acceleration signal to obtain a vertical velocity signal; determining the vertical profile signal of the rail surface, by using the vertical acceleration signal and the vertical velocity signal as inputs to a simulation model of the bogie, the model having an unsprung mass connected to a sprung mass, the vertical acceleration signal acc.sub.1 represents the vertical acceleration of the unsprung mass; and measuring a linear velocity signal of the rail vehicle, the linear velocity signal is used in the step of determining to convert the vertical profile signal from the time domain to the distance domain.

Novel tools and techniques for monitoring railway track geometry. In one aspect, some such tools and techniques can determine a location of a platform along a railway, capture one or more images of the railway, and/or analyze the rail configuration at that point. In another aspect, some solutions might employ photogrammetric techniques to analyze the rail configuration and thereafter store data about the rail configuration, perhaps correlated with the location of the images, in a data store.

Novel tools and techniques for monitoring railway track geometry. In one aspect, some such tools and techniques can determine a location of a platform along a railway, capture one or more images of the railway, and/or analyze the rail configuration at that point. In another aspect, some solutions might employ photogrammetric techniques to analyze the rail configuration and thereafter store data about the rail configuration, perhaps correlated with the location of the images, in a data store.

A system and method for monitoring a roadway by comparing captured images to image inconsistencies caused by lost or unnecessary motion and for minimizing lost or unnecessary motion of an axel of a vehicle and filtering erroneous pulses of an electrical signal to generate a trigger signal to capture images is presented. The system enables the minimization of image artifacts causing distortion in an image. The system can take images of a target, compute an object pixel size of the image to ensure calibration of longitudinal measurements, and calibrate the rotary encoder with the camera of the machine vision system. The system can enable calibration of the locomotive components in the field to compensate for the misalignment of the machine vision system and provide safe travels.

A fiber optic sensor unit for detecting a mechanical force acting on a rail includes at least a first sensor fiber, a first elongated fiber optic strain sensor and a second elongated fiber optic strain sensor. The first sensor fiber includes the first strain sensor and is characterized in that the at least one sensor fiber is attached to a sensor plate. The first fiber strain sensor and the second strain sensor are arranged in an x-type or v-type geometry, wherein the first strain sensor and the second strain sensor are arranged in an angle of 60° to 120°, in particular of 90°, to each other. Measurements with increased amplification of the measurement signal and improved raw data can be made.