An illustrative example embodiment of a computer implemented method for estimating a vertical profile of a road in front of or behind a host vehicle includes monitoring a detection point at a surrounding or preceding vehicle by a sensor on the host vehicle, determining at least one value for a height of the detection point with respect to a reference level at the host vehicle based on the elevation angle of the detection point, and estimating the vertical profile of the road based on the at least one value for the height of the detection point. An estimation of a height of the object with respect to a road surface may be corrected by the estimated vertical profile.

A method for determining trajectory of a mobile object, including: provision of an object including sensors; displacement of the sensors along one and the same trajectory, the sensors maintaining one and the same distance between themselves and each measuring one and the same physical quantity; determination of instants for which the object has travelled an aggregate curvilinear distance which is equal to an integer multiple of the distance and calculation of a direction tangent to the trajectory of the object, for each of the instants determined; automatic reconstruction of the trajectory followed by the mobile object during its displacement by an interpolation, based on, for each reference instant determined, the measured tangent calculated for the reference instant.

A method for determining trajectory of a mobile object, including: provision of an object including sensors; displacement of the sensors along one and the same trajectory, the sensors maintaining one and the same distance between themselves and each measuring one and the same physical quantity; determination of instants for which the object has travelled an aggregate curvilinear distance which is equal to an integer multiple of the distance and calculation of a direction tangent to the trajectory of the object, for each of the instants determined; automatic reconstruction of the trajectory followed by the mobile object during its displacement by an interpolation, based on, for each reference instant determined, the measured tangent calculated for the reference instant.

A method including: recording a first image of a first field region; automatically treating a plant within the first region in-situ based on the first image; automatically verifying the plant treatment with a second image of the first region; and automatically treating a second region concurrently with treatment verification.

A method including: recording a first image of a first field region; automatically treating a plant within the first region in-situ based on the first image; automatically verifying the plant treatment with a second image of the first region; and automatically treating a second region concurrently with treatment verification.

In one embodiment of the subject matter described herein, a system is provided that includes a vehicle that is operating in accordance with the operational settings of a trip plan. The operational settings dictate how the vehicle system is to travel at different locations along the route. A processor of the system may identify differences between the operational settings of the trip plan and the operational settings at which the vehicle actually travels. The processor may further identify whether the differences are caused by a grade error.

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 method for measuring and registering 3D coordinates has a 3D scanner measure a first collection of 3D coordinates of points from a first registration position. A 2D scanner collects horizontal 2D scan sets as 3D measuring device moves from first to second registration positions. A processor determines first and second translation values and a first rotation value based on collected 2D scan sets. 3D scanner measures a second collection of 3D coordinates of points from second registration position. Processor adjusts second collection of points relative to first collection of points based at least in part on first and second translation values and first rotation value. Processor identifies a correspondence among registration targets in first and second collection of 3D coordinates, and uses this correspondence to further adjust the relative position and orientation of first and second collection of 3D coordinates.

Target point cloud data about a specific road are extracted from perimeter point cloud data acquired by moving a road surface measurement device along a measurement route and scanning the surroundings thereof. A data storage unit stores trajectory point sequence data that represent, as a plurality of trajectory points, the perimeter point cloud data and a trajectory of the movement of the road surface measurement device. A trajectory point sequence setting unit acquires a trajectory point sequence at equal intervals from the trajectory point sequence data. An extraction area setting unit sets, as extraction areas, a column area Ci and a parallelepiped area Hi that are geometric areas disposed at predetermined positions below a trajectory point Xi. An approximate nearest neighbor search processing unit and an extraction processing unit extract, as the target point cloud data, point data that belong to this extraction area of the perimeter point cloud data.