26 results about "Terrain mapping" patented technology

A method includes generating a three-dimensional (3D) mesh of the virtual environment from a set of images of physical terrain and depth information. The method further includes applying an initial texture to the 3D mesh based on the depth information. The method further includes generating a projection of a 360-degree panorama onto the 3D mesh. The method further includes identifying one or more areas in the projection that are missing the initial texture. The method further includes providing the projection, identification of the one or more areas in the projection that are missing the initial texture, and the depth information to a machine-learning model. The method further includes outputting output texture for the one or more areas in the projection that are missing the initial texture and blending the output texture with the initial texture in the projection to obtain a blended texture in the projection.

1. Name of the product in this design: Graphical User Interface for Displaying Test Results in Electronic Equipment. 2. Intended use of this design: for use in an electronic device. 3. The key design features of this product are the graphical user interface displayed in the electronic device. 4. The image or photo that best illustrates the design points: Design 1 Interface Change State Diagram 1. 5. The hardware design is a conventional design, omitting the rear view, left view, right view, top view, and bottom view. 6. Design 1 is designated as the basic design. 7. Purpose of the graphical user interface: This graphical user interface is used to display and locate detection results, etc. Design 1's main view is the primary interface, with a circular icon control with a lightning shield displayed in the upper right corner. Design 1's interface change state diagram 1 shows the interface state obtained after clicking the circular icon control in the main view of Design 1, with multiple "location" controls displayed at the bottom of the interface. Design 1's interface change state diagram 2 shows the interface state obtained after clicking any of the "location" controls in Design 1's interface change state diagram 1, which highlights the corresponding location area on the 3D terrain map. Design 2's main view serves as the primary interface. Design 3 uses the main view as the primary interface to display the detection results. The main view of the design is the first interface, used to display the location results of the detection results. The map background (i.e., the three-dimensional topographic map background) in Designs 1 to 4 does not constitute part of the claimed design, and it represents the area as the content screen. The areas (i.e., multiple positioning areas) obscured by color blocks within the background of the three-dimensional topographic map in Designs 1 to 4 do not constitute part of the protected appearance design, and the areas referred to therein are content images.

This invention discloses a method for constructing a realistic depth estimation training dataset based on a 3D mesh and 3D Gaussian splashing, relating to the field of UAV aerial surveying technology. The method involves acquiring aerial image sequences using a visible light camera mounted on a UAV platform, and filtering and preprocessing the image quality; generating a dense point cloud and a 3D mesh; training and generating a 3DGS model based on camera pose and image sequences consistent with the 3D mesh; unifying the 3D mesh, camera pose, and 3DGS model to the same world coordinate system; and using Z-buffer rasterization to output pixel-by-pixel depth and validity masks; generating RGB images of the corresponding viewpoint in the 3DGS renderer; and encapsulating the dataset according to a recommended data organization structure. This invention can accurately generate realistic RGB and geometrically accurate depth, with strict pixel alignment between the RGB images and depth maps, adapting to the needs of real-world application scenarios such as UAV aerial surveying and actual terrain mapping.

1. The name of the design product: topography of refraction. 2. The use of the design product: for contactless measurement of the refraction of the center and peripheral locations of the human eye. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

A method for the operation of a mining or construction machine. The method comprises: by usage of a path planner, planning a path for the mining or construction machine. The planning comprises: obtaining determined kinematic constraints associated with the mining or construction machine; obtaining pose candidates in accordance with the kinematic constraints; in an evaluation of a path planner cost function, projecting the obtained pose candidates onto a three-dimensional terrain map; performing a path planner search in two dimensions by usage of one or more search algorithms so as to minimize the path planner cost function; and based on the performed path planner search, determining a trajectory for the mining or construction machine.

This application relates to a robot relocalization method and a robot. The method includes: first, acquiring the robot's current motion measurement data, as well as terrain image data and terrain height data of the robot's current operating position in the work area; then, generating a local terrain descriptor for the current operating position based on the current motion measurement data, the terrain image data, and the terrain height data; next, indexing the local terrain descriptor in a preset terrain descriptor index library to determine the target area corresponding to the current operating position, wherein the terrain descriptor index library includes multiple sets of mapping relationships between terrain descriptors and areas in the work area; finally, relocalizing the robot based on the target area and the current motion measurement data. This method can improve the accuracy of robot relocalization.

The application relates to an underwater terrain image template matching method combining a contrast learning idea, and belongs to the technical field of digital image processing.The underwater terrain image template matching method combining the contrast learning idea is realized through the following steps: step one, view data enhancement is performed on input data; step two, feature extraction is performed on the enhanced data in step one; step three, sample extraction is performed on the extracted features in step two; step four, the extracted sample features in step three are fused; and step five, model optimization is performed on the fused features in step four.The device can solve the problem that end-to-end training is realized in a self-supervised form without additional data labeling, and the positive and negative sample contrast form can improve the discrimination ability of interference targets, and further provides the underwater terrain image template matching method combining the contrast learning idea.

This invention provides a highly efficient photon scanning method and ranging technique, primarily combining rotational scanning and push-broom techniques, and employing a multi-beam emission method. When the aircraft is moving in a straight line, rotational scanning and push-brooming can be simultaneously achieved simply by rotating the light source. A single-photon array detector is used to collect the echo photons reflected from the detected surface by the probe laser. This invention significantly advances the rapid measurement of depth features of large-area targets. Rotational scanning makes the sampled target points denser and improves the spatial resolution of the detection; push-brooming allows the system to measure more target points in the scanning direction, increasing the detection area. This invention has good development potential in fields such as terrain mapping and single-photon 3D imaging.

This invention discloses a composite tracked triangular wheel omnidirectional chassis and a dynamic weighted trajectory planning method, relating to the field of autonomous navigation technology. A visual perception module processes acquired terrain images and obstacle information and inputs them into a perception network, outputting terrain complexity coefficients and obstacle 3D coordinates. A heterogeneous motion constraint model of the composite tracked triangular wheel chassis is constructed to determine kinematic boundaries. A terrain-chassis dual-drive dynamic weighted evolution model is established, introducing coupling factors to dynamically allocate four-dimensional weights. A dynamic velocity window is generated through a two-layer strategy of illegal velocity pruning and artificial potential field obstacle avoidance. The trajectory is predicted based on an improved DWA algorithm, and the trajectory score is calculated using four-dimensional weights. The optimal trajectory is output, and the motion state is fed back to form a closed loop. This invention uses the aforementioned composite tracked triangular wheel omnidirectional chassis and dynamic weighted trajectory planning method to improve the problems of single chassis performance and poor algorithm-hardware compatibility.

The present application relates to a kind of railway bridge hole arrangement method and system based on reinforcement learning.The artificial manual bridge hole arrangement design has the problems of heavy workload, and low automation level.This method obtains plane topographic map and three-dimensional ground model;Extract the control factor of plane topographic map and three-dimensional ground model;Input line design data;According to line design data, the relationship between line and control factor is calculated;According to line design data, the projection distance of line to ground is calculated, and the bridge arrangement range is determined;The influence factors of hole span arrangement are discretized;Discretized influence factors are used as input conditions, Q-learning algorithm is started, and bridge hole span is calculated.The present application uses Q-learning reinforcement learning algorithm, based on plane topographic map, three-dimensional ground model, combined with line data, bridge component template, automatically calculates pier position, realizes bridge hole span automatic arrangement, and greatly improves the efficiency of bridge arrangement.

The present invention addresses the challenge of enabling safe work operations when a work machine is attached to a vehicle body and the vehicle operates autonomously, by paying attention to obstacles around the work area and notifying the supervisor of any dangers that may hinder movement. [Solution] In an autonomous work vehicle equipped with a positioning device 30 on a vehicle body 2 fitted with a work machine W, which performs work autonomously while recognizing its position on a topographic map, the management device for the autonomous work vehicle is characterized by the following: Cameras K1, K2, K3, and K4 pointed around the vehicle capture images of the area around the vehicle, and the video unit 40d of the control unit 40 uses these images to create an overhead view of the work machine-equipped vehicle W1. A bird's-eye view of the work machine-equipped vehicle W1 with the work machine W attached is displayed on the monitor 15, and when the vehicle body 2 is moving and it is predicted that the work machine-equipped vehicle W1 will approach an obstacle, an alarm is issued to alert the manager of the work vehicle.

A topometric map that enables autonomous navigation of an inventory robot. The topometric map is generated using the layout of a storage site and is made up of vertices and edges. The vertices are generated at pallet locations and other structural locations, and edges are generated between neighboring vertices. Vertices and edges have associated metrics that aid in the routing of the robot. The metrics of the vertices and edges may be updated as the robot navigates through the storage site by using a perception engine and state estimator. The metrics of the edges can be used to calculate an energy cost. The robot determines a shortest path between a source and destination vertex based on the energy cost associated with each edge.

The application discloses a network space mapping method based on weak supervision learning, comprising the following steps: S1, establishing a public network space mapping IP address library, and identifying known IP information; using self-owned basic resource data to collect information of IP with relatively clear unit attribution; S2, identifying IP address association information of non-known IP address. In the application, through self-developed asset identification algorithm, weak supervision learning algorithm is used to extract website features, high-precision asset labels are made, and internet assets are spatially mapped. The main contents of mapping include IP street-level geographic location, industry classification, IP port service information, certificate information, website feature information, etc. In a manner of combining spatial mapping map and vector topographic map, data is presented. The network space mapping map is the infrastructure for realizing digital production and life and digital governance in the digital era, and is of great significance for providing network security event monitoring and analysis, emergency response and attack tracing.

This invention relates to the field of robot outdoor navigation technology and discloses a large-model-driven method for constructing a hybrid outdoor navigation map for robots, comprising the following steps: S1, collecting point cloud and image data through airborne sensors in an outdoor non-flat environment; S2, constructing a large-scale textual visual model based on terrain text and image data, and outputting terrain segmentation results; S3, iteratively fusing terrain image labels to generate a local point cloud map with terrain semantic labels based on point cloud data; S4, extracting terrain geometric information and constructing a local grid map representation model; S5, storing terrain geometric and semantic features in grid cells, constructing a comprehensive cost function, and designing an adaptive map resolution to update the local grid map; S6, establishing a global topological map, fusing a hierarchical mapping mechanism, and constructing a grid-topology hybrid navigation map. This invention has strong adaptability and scalability, providing a robust map foundation for subsequent motion planning.

The application relates to the technical field of artificial intelligence, and provides an agent environment generation method and device based on regret estimation, which comprises the following steps: S1: generating an environment map based on a tile pair regret matrix, the tile pair regret matrix records the regret values of tile transition pairs of a robot agent in the environment map, and the greater the regret value, the greater the probability of generating the tile transition pair in the environment map; S2: acquiring the transition results of each tile transition pair in the current training round of the robot agent based on the environment map; S3: estimating the regret value of each tile transition pair based on the transition results, and the higher the failure rate, the greater the regret value, so as to obtain a temporary regret matrix; and S4: updating the tile pair regret matrix based on the temporary regret matrix, and jumping to step S1 until the training of the robot agent is completed. When the environment map is generated, the application is more inclined to generate the terrain tile of the tile transition pair with a high regret value, so that the training is more targeted.

The present application relates to the technical field of visual analysis, in particular to a similarity visual analysis method for a standard fingerprint of momordica grosvenori raw materials, the present application performs smoothing processing and second derivative operation on a standard fingerprint, constructs a rigidity weight vector based on curvature energy, and introduces the rigidity weight vector into a dynamic time warping algorithm to realize a restricted elastic alignment between a to-be-tested fingerprint and a standard fingerprint. On this basis, a spectrum difference is mapped into centripetal load and normal load of a ring-shaped elastic grid through projection and residual decomposition, a single-batch topological surface is generated by solving grid deformation, and a three-dimensional terrain map is constructed by stacking and interpolating multiple batch results. Further, a Laplace field analysis is performed on the three-dimensional terrain map, abnormal extreme values are extracted, and pattern matching is performed with a process fault knowledge base to output corresponding quality abnormal batches and process diagnosis conclusions, so that intuitive expression of the similarity of the momordica grosvenori raw material fingerprint and intelligent analysis of process abnormalities are realized.

This invention belongs to the field of robot perception technology, specifically relating to a perception method for a magnetic quadruped robot based on binocular vision and elevation map fusion. The method includes the following steps: synchronously acquiring image data and angular velocity and linear acceleration data, and preprocessing them; extracting and tracking features from the images, and pre-integrating IMU data between consecutive keyframes to obtain relative motion increments; constructing a joint optimization objective function within a sliding window to solve for the robot's six-degree-of-freedom pose; using the pose to transform the current depth point cloud to the world coordinate system, and using probabilistic fusion to update the two-dimensional grid elevation map to obtain a local terrain map containing the elevation mean and uncertainty. This invention deeply integrates high-precision state estimation and terrain mapping, effectively solving the problems of positioning drift and inaccurate perception of small terrains in magnetic climbing robots on vertical curved surfaces and in environments with weak texture, significantly improving the robot's autonomous operation capability and safety.

This invention discloses a zero-trust network security threat early warning system and method based on critical terrain analysis. First, network traffic is captured and preprocessed. Traffic analysis automatically discovers the network topology and identifies key devices, constructing a critical terrain map. Vulnerability information from existing vulnerability platforms is collected, and knowledge modeling is performed using entity data (including vulnerabilities, devices, ports, services, and attack chains) and relational data such as impact, dependency, association, and triggering. Node vulnerability information is acquired, and the attack costs and benefits of associated vulnerabilities are quantitatively evaluated. A dynamic network attack-defense game model is constructed based on the quantitative results. Using the constructed vulnerability knowledge graph and exploitable associated vulnerabilities in the critical terrain, a zero-trust network critical terrain attack map is generated. Targeted strategies for critical terrain are formulated. Based on the associated vulnerability analysis results and targeted countermeasures, the generated attack map is used to infer attack paths for critical terrain, achieving full automation from anomaly detection and risk assessment to threat early warning.

A robotic control system may be configured to translate a first set of location coordinates based on a first location numbering system to a second set of location coordinates based on a unified location numbering system. A robotic control system may receive layout data of a warehouse, the layout data containing a plurality of location coordinates of racks and storage locations. The location coordinates may be of a first format based on the first location numbering system that is specific to the warehouse. The robotic control system may analyze the format of the location coordinates to select, from a plurality of candidate conversion algorithms, a suitable conversion algorithm to translate the plurality of location coordinates of the first format to a second format based on the unified numbering system. The robotic control system may store the translated location coordinates for use in generating a topometric map of the warehouse.

This invention discloses a method for generating urban bridge models based on parametric rule-driven principles, belonging to the field of bridge model generation technology. The method includes: S1, determining the workflow design mode and generating a skeleton model using different generation methods based on different design modes; S2, inputting the skeleton model into urban 3D modeling software and using CGA rules to drive the skeleton model to generate a 3D model of the bridge superstructure; S3, inputting the skeleton model into urban 3D modeling software and using CGA rules to drive the skeleton model to generate a 3D model of the bridge substructure; S4, using an interactive parameter adjustment interface to dynamically adjust the parameters of the 3D models of the bridge superstructure and substructure; and S5, outputting the adjusted 3D models of the bridge superstructure, substructure, and terrain layer as scene assets. This invention uses CGA rule code to achieve automated modeling, improving model generation efficiency and accuracy while reducing modeling costs and data delivery difficulty.

This invention provides a smart and visualized method and system for rapid design of construction access roads for mountainous highways. First, it acquires topographic maps of mountainous roads, oblique photogrammetry data from drones, and information on special areas. Then, it optimizes a multi-class support vector machine (SVM) based on this data. Using the optimized SVM, it calibrates digital fences and hierarchical information in an initial geographic model to obtain an oblique photogrammetry geographic model. Next, it initializes multiple alternative routes for the construction access road and uses a genetic algorithm for iterative optimization to select the optimal route. This invention uses drone oblique photogrammetry technology to solve the problems of low efficiency, large errors, and insufficient model accuracy in traditional surveying. Simultaneously, it uses a dynamic fitness function to overcome the limitations of traditional design that only focuses on static costs. Combined with a genetic algorithm for multi-scheme iteration, it uses dynamic risk factors to predict potential disruption events throughout the construction cycle, achieving a balance between short-term construction costs and long-term construction risks.

The utility model discloses a mountain topography surveying and mapping unmanned plane protection structure, including the box, the upper portion fixed mounting of box has two groups of mounting seat, and two groups mounting seat's upper portion fixed mounting has the support platform, and the upper portion fixed mounting of support platform has four groups spring shock absorber, and four groups spring shock absorber's upper end installs the landing board, the lower portion welding of box has the bottom box, the inside bearing mounting of box has the lead screw lever. Advantageous effects: the utility model is provided with the inserted rod, and the overall stability is realized through the inserted rod and the ground fixation, and the protection structure and mountain topography surveying and mapping unmanned plane fixed connection are not needed, and the design avoids the problem that the traditional protection structure increases the additional weight of mountain topography surveying and mapping unmanned plane because of fixed connection, reduces the power consumption of mountain topography surveying and mapping unmanned plane mobile power supply, effectively prolongs the single flight distance and surveying and mapping time length of mountain topography surveying and mapping unmanned plane, and improves the operation efficiency and practicality of equipment.

The technologies described herein relate to computing position of an aircraft, such as latitude / longitude coordinates, based upon range and Doppler measurements generated by a range-Doppler radar sensor system. The range-Doppler radar system irradiates an area below an airborne aircraft with radar signals and detects return signals that have reflected from a surface of the earth. The range-Doppler radar system generates range and Doppler measurements based upon the detected return signals. Range measurements are assigned to Doppler bins based upon the Doppler measurements that correspond to the range measurements, and range measurements are selected from the Doppler bins based upon the values of the range measurements. The selected range measurements are employed to identify positions on a digital terrain map that represents the surface of an environment. The position of the aircraft is computed based upon the identified positions on the digital terrain map.

This invention discloses a method and system for managing video data from law enforcement recorders, including: collecting video and audio data, generating law enforcement session identifiers, and associating them to form a dataset; jointly analyzing multi-source data on the edge to construct a behavior pattern domain and continuously monitor stability changes; identifying collapse points as boundaries to segment video data and generate a sequence of law enforcement event units; integrating video, audio, context, and semantic data on the cloud to generate a causal consistent description; constructing a risk topography map based on the semantic description to determine differentiated video management strategies; constructing a spatiotemporal inverted index structure to locate event units and output video data results. This invention achieves accurate segmentation, risk identification, and efficient retrieval management of law enforcement recorder video data through edge-cloud collaborative video structuring and causal inference mechanisms.

This invention discloses an adaptive multi-ring network InSAR phase unwrapping method and apparatus, relating to the field of interferometric synthetic aperture radar measurement technology. The method includes: acquiring interferometric phase maps and topographic maps of complex terrain regions; calculating coherence, terrain gradient maps, phase gradient standard deviation, and residual density based on the interferometric phase maps and topographic maps; constructing a multi-ring network by dynamically selecting ring sizes through a decision function based on coherence, terrain gradient maps, phase gradient standard deviation, and residual density; determining the connectivity of the multi-ring network according to a bridging strategy and connectivity detection method, and outputting a globally connected network; performing hierarchical residual optimization using a two-layer strategy of local absorption and global planning based on the globally connected network, and outputting the optimized residuals; and unwrapping all rings in the globally connected network using a strategy of local unwrapping within the rings and global optimization, and outputting the unwrapping results. This invention can solve the network connectivity problem in complex regions.