12 results about "Horizon line" patented technology

The embodiment of the invention provides a simulation map generation method and a related device, the method can be applied to the field of intelligent driving, and the method comprises the following steps: obtaining navigation data, obtaining topological data corresponding to a navigation path and electronic horizon line data corresponding to a vehicle position from the navigation data, the vehicle position is the position in the navigation path; according to topological data and electronic horizon line data, a simulation map corresponding to the navigation path is generated, the topological data comprises data of road sections in the navigation path, and the electronic horizon line data comprises first description information of a first road corresponding to the position of the vehicle, so that a complete high-precision map does not need to be actually collected at a first road site; the generation efficiency of the simulation map is improved; only the simulation map corresponding to the position area through which the vehicle can run in the simulation test process is generated, resources consumed in the generation process of the simulation map corresponding to the position area which is not used are saved, and the generation efficiency of the simulation map is further improved.

The invention discloses a geosteering method based on interactive seismic forward modeling establishment, and relates to the technical field of geosteering in oil-gas exploration and development. The method comprises the steps of firstly establishing a work area and constructing a seismic wave velocity field through an interactive interface, then generating a depth domain seismic section, then interactively drawing a stratigraphic position line and a fault line based on the section, discretizing the stratigraphic position line and the fault line into a space point set with geological attributes, then constructing a triangular mesh model based on the point set, identifying a stratigraphic framework, and finally, constructing a seismic wave velocity field based on the triangular mesh model. Then dynamically estimating shale content and porosity based on measured data of a drilled section, obtaining longitudinal wave velocity through rock physical forward modeling, extrapolating and interpolating the longitudinal wave velocity by combining a stratigraphic framework, establishing a velocity model for seismic forward modeling, and performing seismic wave field forward modeling to obtain a seismic wave field; and finally, carrying out multi-dimensional feature comparison on the forward modeling response and the actual seismic section, if a matching criterion is met, making a guiding strategy, otherwise, reversely adjusting model parameters and carrying out forward modeling iteration again until matching.

The invention provides an unmanned aerial vehicle attitude angle measurement method based on horizon line detection. The method comprises the following steps: defining horizon line key points; constructing an end-to-end horizon line key point detection neural network, wherein the end-to-end horizon line key point detection neural network comprises a backbone network, a transposed convolutional network and a self-attention module; predicting horizon line key point coordinates according to the end-to-end horizon line key point coordinate feature map; acquiring a horizon line according to the predicted horizon line key point coordinates; and the roll angle and the pitch angle of the unmanned aerial vehicle are obtained according to the imaging relation of the horizon line in the camera. The technical problem of low air alignment precision caused by difficulty in accurately acquiring the attitude of the micro inertial navigation system in an air flight scene in the prior art can be solved.

This invention discloses an interface layout method and system based on MR (Mixed Reality) technology in the field of Mixed Reality. The method includes the following steps: obtaining the user's field of vision; within the user's field of vision, the interface is presented in a 360-degree surround view when the user rotates around themselves as the origin, or in a planar / curved form when the user moves, thereby determining the interface display range; wherein, the interface display range is based on the user's horizon line, ranging from a field of view angle of 10 degrees above the horizon line to a field of view angle of 60 degrees below the horizon line. The interface layout method and system based on MR technology provided by this invention, through a surround-view, tiled interface layout centered on the user's eye point, distributes the interface within a suitable visual distribution range, effectively displaying interface elements and content. Combined with the three-dimensional display characteristics of mixed reality, it optimizes and improves the arrangement of interface display elements and the interface layout method, solving the problems of chaotic interface element arrangement and unreasonable interface layout.

The present application provides a railway subgrade horizon intelligent identification method, device, equipment, medium and product. The method comprises longitudinally cutting and sampling a radar image of a railway subgrade to obtain multiple horizontal slice images of the radar image; the multiple horizontal slice images of the radar image are subjected to horizon detection and labeling through a preset target detection model to obtain multiple horizontal slice images of the radar image after labeling and a labeling text file, the labeling text file comprising horizon labeling texts corresponding to the multiple horizontal slice images of the radar image after labeling; horizon point coordinates corresponding to positions of the multiple horizontal slice images of the radar image are determined according to the horizon labeling texts in the labeling text file; and the determined horizon point coordinates corresponding to the positions of the multiple horizontal slice images of the radar image are spliced to obtain a horizon line of the railway subgrade. The present method greatly reduces the manual workload and is more accurate than the results of manual tracking.

The invention provides an anti-upheaval method and device for a combined visual system or an enhanced flight visual system, and the method comprises the following steps: determining the position of a real horizon line in a current EVS image, and obtaining the position of the real horizon line on the EVS image through a camera matrix of the EVS, the latitude and longitude of an airplane, the height of the airplane and an airport plane equation. And determining the maximum elevation line position in the current EVS image. Finding an image point with the highest position in the EVS image for elevation points in a given range, and obtaining a straight line which passes through the point and is parallel to the horizon, namely the maximum elevation line. And starting or inhibiting the anti-upheaval function according to the input of the pilot.

This application provides a method and apparatus for detecting violations in badminton serve height. First, a video of the target serve is acquired by a camera at the standard serve height. A vanishing line detection algorithm is used to solve for the horizon line in the video, where the horizon line is the baseline corresponding to the standard serve height in the video. Then, the video is input into a preset serve state detection model for feature extraction and prediction to obtain the probability that the video is in a serve state, which is compared with a preset threshold to determine whether the video is in a serve state. When the video is in a serve state, a preset target detection model is used to determine the position of the shuttlecock. Finally, the position of the shuttlecock is compared with the horizon line to determine whether the serve is illegal. This method can objectively and automatically identify violations in badminton serve height at the moment of serve, improving the accuracy of serve height violation detection. Furthermore, the algorithm has a simple structure and low operating cost.

The GUI shown in the image diagram functions as a spirit level when shooting images or videos. The user can ensure that the shooting equipment is level by using the horizon line drawn between the outer and inner circles of the double circle shown in the center of the image diagram as a guide and adjusting the angle of the shooting equipment so that the straight line drawn at an angle inside the inner circle is horizontal.

An aircraft display system includes a display; and a unit for generating display on the display, suitable for dynamically displaying on the display at least one horizon line, a slope scale with respect to the horizon line, and a velocity vector symbol. When approaching a landing strip, the display generating unit is suitable for displaying, below the horizon line, a flare floor symbol, defining, along with the horizon line, a range of possible slope values for the flare.

The invention relates to a computer-implemented method (100) for operating at least one vehicle (60), wherein the at least one vehicle (60) has at least one image acquisition unit (62) for providing at least one digital image of an environment arranged in front of the at least one vehicle (60), comprising at least the following steps: determining (102) first estimated position data of at least two different first points (24, 26) of a first horizon line (28) in a first digital image (22) from the at least one image acquisition unit (62) by means of at least one trained machine learning algorithm (16);Determining (104) second estimated position data of at least two different second points (34, 36) of a second horizon line (38) in a second digital image (32) acquired after the first digital image (22) by the at least one image acquisition unit (62), using at least one trained machine learning algorithm (16); checking (106) whether a visible horizon (20) is approaching in front of the vehicle (60), at least based on the first horizon line (28) and the second horizon line (38); and providing (108) at least one control signal to adjust the speed of the vehicle (60) when a visible horizon (20) is approaching in front of the vehicle (60). The method (100) exhibits increased accuracy for horizon line detection.

The application provides a real-time detection method for the horizon line of an infrared image, comprising the following steps: image preprocessing: performing Gaussian filtering on the infrared image to obtain a filtered image; edge detection: performing edge detection on the filtered image to eliminate non-edge pixel points; straight line detection: detecting straight line segments in the filtered image from which the non-edge pixel points are eliminated; filtering oblique lines and vertical lines: filtering straight line segments with slopes not within a preset range to obtain n (n >= 1) candidate horizon lines; determining the horizon line: extracting the row values at both ends of all the candidate horizon lines, constructing 2n horizontal boundary lines located on the row values, and dividing the image into a sky region and a ground region; the gray mean value of the sky region is greater than that of the ground region, and the boundary line with the minimum sum of the gray variances of the sky region and the ground region is set as the horizon line. The application has good robustness even for complex conditions such as clouds and power lines in the sky, and meets the real-time processing requirement.

The application discloses a fault-dissolved body position determination method, device, equipment and medium. The method comprises the following steps: acquiring a plurality of seismic profile graphs; the seismic profiles in each seismic profile graph are parallel and not in the same plane; the positions of at least one horizon line in each seismic profile graph are identified; the regions of fault-dissolved bodies in each seismic profile graph are identified; and the spatial position relationship between each horizon line and each fault-dissolved body is determined according to the positions of the horizon lines and the regions of the fault-dissolved bodies. The embodiment of the application can acquire the stratum horizon information where the fault-dissolved body is located, and determine the position relationship between the fault-dissolved body and the stratum horizon.