144 results about "Navigation path" patented technology

This invention discloses an AR-assisted puncture navigation spatial registration method and system based on environmental reference features, relating to the field of medical image navigation. The system includes an augmented reality navigation device, a permanent ceiling marker, and a temporary marker board. The augmented reality navigation device includes a binocular augmented reality camera group, a global tracking camera, a global spatial registration module, and a display module. The binocular augmented reality camera group constructs a binocular overlapping field of view, acquiring the pose information of the binocular augmented reality camera group relative to the temporary marker board during the calibration phase, and acquiring near-field images of the surgical area in real time during the surgical phase and displaying them on the display module. The global tracking camera acquires the pose information of the global tracking camera relative to the global coordinate system of the ceiling. The global spatial registration module solves the extrinsic parameter matrix between cameras and the environmental relationship matrix based on the pose information. During the surgical phase, the path planned by the imaging equipment is converted into a real-time navigation path and superimposed on the display module. This solves the complex calibration problem under non-overlapping fields of view.

This application discloses a method, system, and electronic equipment for guiding vessels through an immersed tunnel area in a port area, relating to the field of vessel management in port waters. The method includes: triggering vessel identification based on an electronic fence; determining the target vessel to enter the electronic fence area; determining the vessel's navigation path based on scheduling plan information; estimating the time interval for the target vessel to pass through the immersed tunnel area; acquiring tidal level data of the immersed tunnel area; and calculating the passage window period for passing through the immersed tunnel area based on the tidal level data; comparing the time interval for passing through the immersed tunnel area with the passage window period; and determining the time period for the vessel to pass through the immersed tunnel area based on the comparison results; and generating passage guidance information for the vessel during its passage through the immersed tunnel area based on real-time tidal height data during the passage period. This application solves the technical problem in related technologies where only vague prompts are provided for vessels with passage risks in immersed tunnel areas, resulting in low vessel passage efficiency.

This application relates to the field of vehicle control technology and discloses a predictive control method and system based on road surface adhesion coefficient. In this method, a cloud server acquires real-time information uploaded by vehicles on the road. The cloud server can combine the real-time information with historical information from each grid to form a road surface adhesion coefficient matrix. The cloud server sends the road surface adhesion coefficient matrix to the vehicle. Based on the road surface adhesion coefficient matrix, the vehicle's current position, and navigation path, the vehicle determines the predicted road surface adhesion coefficient value in its current direction of travel. Based on the predicted road surface adhesion coefficient value, the vehicle calculates the upper limit of its regenerative braking capacity and / or the upper limit of its driving torque, and then controls the vehicle accordingly. The beneficial effect is improved vehicle control efficiency on low-adhesion roads.

A method for farmland path recognition and planning based on aerial imagery is proposed. First, a data set (DOM) is constructed, cropped, and scale-normalized to form a dataset for recognition and planning. Next, multi-scale identification of the inter-row crop passage area is performed to obtain passable areas. Then, path planning is performed based on the inter-row structure: the centerline of the passable area is extracted to obtain a skeleton; principal direction constraints and structural consistency analysis are applied to the skeleton; branch removal and break repair are performed to obtain continuous, directional, and consistent inter-row centerline paths. The paths are clustered, grouped, and sorted to automatically distinguish different ridges and determine the walking order within the plot. Based on the endpoint relationships of adjacent inter-row paths, cross-row connection paths are generated at the ridge ends, forming a global navigation path combining straight and turning routes, and determining the entrance and exit points. Finally, the results are converted into standard path data for output, providing navigation for ground-based equipment. This invention effectively improves the stability and consistency of planning.

Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for determining a navigation path. The method may include acquiring a source geographical location and a destination geographical location received from a user side device. In addition, the method may include determining a navigation path from the source geographical location to the destination geographical location based on a communication resource heat database, the communication resource heat database including at least a plurality of geographical regions associated with the navigation path and communication resource heat of each of the plurality of geographical regions, the communication resource heat including signal quality, signal strength, and a remaining resource capacity. Then, the method may include sending the determined navigation path to the user side device.

This application discloses a product navigation path planning method, a computer-readable storage medium, and an electronic device. The method includes: obtaining a preset layout map of a physical store, a measured environment map, and a product display information table; the preset layout map includes shelf identifiers and placement locations of multiple shelves in the physical store; the measured environment map includes store spatial environment information collected during movement within the physical store; the information table stores product identifiers and placement locations of multiple products, with the placement location including at least the shelf identifier of the shelf where the product is located; registering the preset layout map and the measured environment map to establish a coordinate mapping relationship between them; determining the spatial coordinates of different products based on the placement locations of multiple products in the information table and the placement locations of multiple shelves in the preset layout map; and converting the spatial coordinates into corresponding environmental coordinates based on the coordinate mapping relationship to obtain the correspondence between product identifiers and environmental coordinates, used for path planning of the target product.

This invention relates to the field of orchard navigation technology, specifically a 3D method for orchard operations based on a grid map. The method includes: constructing an orchard point cloud map using a mapping algorithm; filtering the acquired 3D point cloud map and constructing a triangular grid map of the orchard, embedding the orchard's GPS information into the triangular grid map; based on the triangular grid map with GPS information, performing ICP registration between the point cloud data scanned by the LiDAR and the points on the triangular grid map using the RMCL 3D positioning algorithm, outputting the 3D pose of the operation robot in the orchard; updating the 3D pose of the operation robot in the orchard using GNSS information; planning the navigation path of the operation robot using grid navigation based on the GPS information of the target point; and controlling the operation robot to dynamically avoid obstacles and navigate to the target point. This invention enables precise positioning and autonomous navigation of the operation robot in hilly orchards, allowing it to complete tasks such as orchard inspection, plant protection, harvesting, and transportation.

The application discloses a park navigation method and device, electronic equipment and storage medium, belongs to the navigation technical field, and is used for improving the accuracy and navigation efficiency of park navigation. The method comprises the following steps: in response to a navigation request for a target park, determining navigation starting point information and navigation ending point information, and a carrier type of an execution carrier; based on preset space boundary information of each traffic area in the target park, matching a starting traffic area for the navigation starting point information and matching an ending traffic area for the navigation ending point information; based on a traffic cost parameter corresponding to the carrier type, searching for a navigation path from the starting traffic area to the ending traffic area from a pre-constructed floor connection relationship of the target park, and outputting traffic track data matched with the navigation path; wherein the floor connection relationship of the target park is constructed by taking each traffic area in the target park as a regional node and a connection relationship between the regional nodes through entrances and exits as edges.

The application discloses a kind of based on high-density tactile-visual and hearing fusion's guide blind device, including high-density vibration tactile feedback main body, visual perception module, voice interaction module, double platform collaborative control unit, map processing and path planning module, positioning navigation module, power management module and mechanical shell.High-density vibration tactile feedback main body adopts vibration motor array to form two-dimensional tactile output interface;Visual perception module realizes hand position real-time detection and coordinate mapping;Voice interaction module is used for full offline speech recognition and synthesis.Corresponding guide blind method is simultaneously provided.The application converts indoor space layout and navigation path into intuitive tactile signal, significantly improves the information carrying capacity of guide blind information, interactive intuitiveness and system robustness, and provides efficient, safe and intelligent indoor travel assistance for visually impaired people.

This invention discloses a route memory and reverse navigation method based on temporary WLAN, relating to the field of positioning and navigation technology. The method includes: a positioning server receiving measurement values ​​of signals transmitted by a user terminal according to the temporary WLAN frequency from wireless access points, and fixed coordinates of multiple wireless access points; calculating the real-time coordinates of the user terminal during forward movement, ordered by time, based on the measurement values ​​and fixed coordinates, and transmitting this data to the user terminal, which then performs interpolation smoothing on the real-time coordinates to generate a continuous forward movement trajectory; responding to a reverse navigation request from the user terminal and receiving its feedback forward movement trajectory, generating reverse path data based on the forward movement trajectory; and planning a reverse navigation path based on the reverse path data, the user terminal's current coordinates, and forward movement parameters, and transmitting this path to the user terminal for visual guidance. This invention achieves route memory and accurate reverse guidance in a temporary WLAN environment.

This application relates to a library self-service navigation method, device, equipment, and medium. The method includes: acquiring multi-source heterogeneous data from the library, and performing data cleaning and structuring processing on the multi-source heterogeneous data to obtain structured multi-source data; extracting spatial features and performing semantic association analysis on the structured multi-source data to obtain environmental feature data; constructing topological relationships and assigning weights to the environmental feature data to construct a navigation topology map; based on user-input navigation request data, performing optimal path search under multiple constraints within the navigation topology map to obtain initial navigation path data; and segmenting the initial navigation path data and generating turning instructions to obtain the path navigation result. This method enables end-to-end coherent navigation from resource semantics to spatial paths, effectively improving the intelligence level and user experience of library self-service navigation.

The application provides a navigation method and device of a mobile robot, electronic equipment and a storage medium, and relates to the technical field of robots. The method comprises the following steps: acquiring a positioning score of the mobile robot; if it is determined that the mobile robot loses positioning according to the positioning score, rotating the head of the mobile robot to construct a local map; acquiring a global map for navigation of the mobile robot, determining a navigation target point according to the global map; determining a target terminal point in the local map according to the navigation target point, and generating a local navigation path by using the target terminal point to perform local navigation. Through the fusion of head motion control and local planning navigation strategy, the robot can flexibly adjust the viewing angle, actively acquire a wider field of view and richer environmental information in a narrow space or an environment with unstable positioning signals, improve the navigation accuracy and robustness of the robot in a complex and variable scene, and effectively cope with challenges such as positioning drift.

The application belongs to the technical field of agricultural robots, and discloses a path and height coordination planning system of a height-variable wheel-foot robot in weeding, which comprises a height-variable wheel-foot robot, an environment perception and weed identification module, a weed target tracking module, a navigation and path planning module, a height-path coordination planning module, an execution control module and a spraying execution module. On the basis of generating a basic navigation path, the height-path coordination planning module divides the navigation path into multiple sub-path segments by using weed spatial distribution, shielding indexes, spraying accessibility and stability constraints, and calculates a body running height for each sub-path segment, thereby forming a path-height coordination plan. In the execution stage, the height sequence is adaptively corrected according to online perception, and is coordinated with a low-level wheel-foot height control closed loop, so that the stability and accuracy of weeding operation in crop height variation and unstructured terrain are improved.

A control system on a material transfer vehicle includes a path planning system that plans a path from the material transfer vehicle to a container, and a navigation system that navigates the material transfer vehicle along the navigation path. An auto unloading system automatically controls the material transfer vehicle as it approaches the container, positions itself closely proximate the container, and unloads material into the container. A handoff control system uses position-based criteria to determine when to switch from controlling the material transfer vehicle using the path planning system to controlling the material transfer vehicle using the auto unload system. The handoff control system generates a control signal triggering the auto unload system to begin controlling the material transfer vehicle when the position-based criteria are met.

The application discloses a settlement pavement auxiliary driving method and system, and relates to the technical field of intelligent driving. The method comprises the following steps: processing a road surface image collected by a front-view camera of a vehicle to obtain a local depth map during the process that the vehicle drives to a potential settlement risk area on a current navigation path; correcting the local depth map based on inertial measurement data of the vehicle and absolute elevation information of a global navigation satellite system to obtain a local elevation map; extracting a longitudinal driving profile curve of a target driving track of the vehicle based on the local elevation map, wherein the target driving track is a road surface area corresponding to the current navigation path on the local elevation map; determining a settlement risk level of the target driving track based on the longitudinal driving profile curve; and controlling the vehicle to perform a corresponding driving action according to the settlement risk level.

An embodiment herein provides a robotic device 100 that enables real-time autonomous navigation in a dynamic environment by determining a navigable space. The robotic device includes at least one image capturing device 102 to capture at least one image or video within a current Field of View (FOV) of the dynamic environment, and a processor 106 that is configured to obtain the point cloud, identify at least one obstacle in the dynamic environment, generate a local map that represents an occupied region and a free region, construct a virtual wall representing an imaginary boundary positioned at a pre-determined distance, project a plurality of rays from an origin of the at least one image capturing device toward the virtual wall at varying angles, determine at least one visible region of the virtual wall, update the local map and enable the robotic device to navigate to a target location.

The application discloses a kind of transmission line tree barrier processing task dispatching method and system based on spatial position, mainly related to overhead transmission line operation and maintenance technical field.Its method includes: obtaining the laser radar point cloud data of tree along transmission line;Point cloud data is analyzed, and the spatial position coordinates of target tree with hidden danger of tree barrier, clearance distance and hidden danger grade are determined;According to spatial position coordinates, target tree is matched with pre-set responsible area, and the responsible operation terminal is determined;Tree barrier processing work order containing hidden danger information is generated and dispatched to the operation terminal;In response to the operation terminal receiving work order, navigation path from current position to target position is provided.The application realizes the automatic identification, accurate positioning and intelligent dispatch of hidden danger of tree barrier, reduces the manual communication link through spatial position matching and navigation guidance, significantly improves the efficiency and accuracy of tree barrier processing.

This application relates to a navigation method for electric two-wheelers based on multimodal semantic enhancement. The method includes: acquiring user input information; parsing the input information based on a pre-built multimodal large language model to obtain multimodal semantic information; fusing the multimodal semantic information with location data, vehicle battery data, and time data based on a semantically enhanced spatiotemporal trajectory model to generate a semantically enhanced spatiotemporal trajectory representation, which includes energy consumption constraints and safety preferences; generating a navigation path that conforms to the energy consumption constraints and safety preferences based on the spatiotemporal trajectory representation; and outputting the navigation path in a visual form. The semantically enhanced spatiotemporal trajectory model supports the inclusion of unstructured roads in the output path. This application solves the problem of navigation systems being unsuitable for electric two-wheelers. The semantically enhanced spatiotemporal trajectory model supports outputting paths containing unstructured roads, allowing electric two-wheelers to travel on routes that motor vehicles cannot access, such as alleys and pedestrian streets.

The application relates to the technical field of artificial intelligence robot route planning, in particular to a navigation path planning method based on artificial intelligence, S100: a global 2d environment is constructed before starting navigation; S200: a scanned 2d composition is subjected to gridding treatment; S300: when a sensor with a proportion a of a robot head and a body part senses that an object is close to and stays for more than a time b, the head and the body are automatically turned to a side where the object is located, and an LCD screen on the body is lighted; S400: exhibits exhibits and locations in a museum; S500: a path is planned according to a destination selected by a tourist; S600: an optimal path is planned through algorithm operation of an evaluation function; and S700: the planned path is displayed, and the tourist is led to the destination, the application improves the A* algorithm, improves the heuristic function, and improves the accuracy of the planned path.

This invention discloses a target positioning method, apparatus, device, and medium for optical observation. The target positioning method for optical observation collects and caches the relative distance and azimuth of the target using optical observation equipment. Upon detecting a target locking signal triggered by the type or usage of the carrying equipment, the data is immediately frozen and transmitted wirelessly to a mobile terminal. The mobile terminal combines the received data with its own positioning module's current location, calculates the target's geographic coordinates using a geodetic model, marks the location on a map interface, and generates a navigation path. This achieves automatic target location locking and geographic mapping after firing, effectively solving the problems of difficulty and low efficiency caused by the large difference between thermal imaging field of view and the actual landscape, requiring manual GPS repositioning in existing technologies. It significantly improves the accuracy and convenience of target search after long-range nighttime firing.

The embodiment of the invention provides a virtual lane generation method and device, equipment and a medium. The method can be applied to scenes such as lane-level navigation path planning and automatic driving path planning. The method comprises the following steps: determining a path starting point and a path ending point in intersection area data, and obtaining a first path comprising M first path nodes; acquiring a second path comprising N second path nodes; determining a plurality of first candidate path nodes, wherein the distance between the first candidate path nodes and a first tail end path node in the M first path nodes is a preset distance; determining an (M + 1) th first path node of the first path according to the plurality of first candidate path nodes, the first tail end path node and a second tail end path node in the N second path nodes; and when the distance between the (M + 1) th first path node and the second tail end path node is smaller than a preset distance, connecting the first path and the second path as a virtual lane line. By implementing the embodiment of the invention, the generation accuracy of the virtual lane can be improved.

Systems and methods for generating directional information, including detecting an occurrence of a first trigger event, upon detecting the occurrence of the first trigger event, generating a first search query based on a predicted object, determining a target object based on the first search query, determining a recommended navigation path to the target object, generating a first graphical user interface (GUI) based on the recommended navigation path, and causing to display the first GUI.

This invention discloses a graph search-based farmland navigation path planning system for autonomous vehicles. The system includes: a farmland data collection component for acquiring farmland latitude and longitude information, starting ridge width, vehicle travel direction angle, vehicle turning anchor point position, and farmland size; a farmland structure partitioning component for partitioning the farmland structure, including starting ridge, ending ridge, far end, near end, number of ridges, turning anchor point position, and obstacle positions within the turning radius of the far and near ends; a node graph construction component for constructing a cost matrix for transitions between any two nodes; and a path search and selection component for performing a depth-first path search on the node graph based on the cost matrix, selecting the path with the minimum total path cost from the searched paths as the vehicle's farmland navigation path for the current farmland.

The application discloses a manned vehicle passenger comfort collaborative control system and method and a vehicle, and belongs to the field of intelligent cockpit and whole vehicle collaborative control. The system comprises a perception interface, a space information interface and a control unit. The control unit actively identifies real-time states of a passenger, such as physiological fatigue, emotional fluctuation, focused driving and rest sleep, generates cockpit environment regulation instructions and motion smoothness regulation instructions, and performs time sequence coupling arrangement on the two types of instructions with the same time reference, so that the two types of instructions are executed in the order of somatosensory logic, and cross-domain regulation conflicts are eliminated. In combination with navigation path and road condition information, the system converts spatial distance into time advance, realizes space-time coupling prediction regulation, supports multi-passenger priority coordination, gradual smooth execution and closed-loop feedback correction. The application does not depend on specific hardware, can be deployed on a domain controller or a central computing platform, is suitable for automobiles, aircrafts and ships, can correspond to comfort standards such as ISO 2631-1, and can constitute a basic technical path of whole vehicle level comfort collaboration.

This invention discloses a navigation path planning method for multi-story buildings based on elevation maps, applicable to multi-story buildings containing stairs, ramps, and suspended structures. The core lies in using hierarchical cost modeling to uniformly incorporate clearance and height differences into global path search and model predictive control rolling optimization, achieving highly executable path generation and robust control against dynamic obstacles. The system integrates multi-sensor data to construct multi-slice elevation and cost maps, and introduces a time window decay mechanism to suppress the long-term impact of short-term dynamic structures on the cost field. Based on the hierarchical cost map, connecting areas such as stairs and corridors are raster-labeled, and an improved Theta* is used for arbitrary-angle global search to output a reference trajectory with terrain risk annotations; local layers employ model predictive control rolling optimization to achieve path tracking and obstacle avoidance, generating control commands. This invention significantly improves path executability, control stability, and robustness against dynamic obstacles in complex elevation environments.

This application provides a control method for robots, comprising: acquiring a preset electromagnetic map, the preset electromagnetic map including a first electromagnetic interference region; acquiring a first position of the robot; determining, based on the preset electromagnetic map and the first position, whether the first position is located within the first electromagnetic interference region; and, if the first position is located within the first electromagnetic interference region, acquiring a first navigation path, the first navigation path not passing through the first electromagnetic interference region. Thus, this application does not require modifications to existing hardware structures; by optimizing sensor data processing methods and autonomous decision-making logic, it can improve the robot's environmental adaptability and system robustness in electromagnetic interference scenarios.

This application provides an autonomous navigation method and system for elderly care robots based on depth vision. Specifically, this application utilizes a 3D vision sensor to acquire environmental point cloud data. By analyzing changes in ambient light intensity and incident angle, it dynamically switches the point cloud fusion mode to suppress light interference, resulting in an optimized point cloud. Subsequently, semantic analysis is performed to generate a 3D obstacle map with category labels. Based on this map, an object relationship topology graph is constructed to identify passable gaps between objects and determine whether there are any anomalies in the spatial relationships of objects that block the passage of high-priority objects. Finally, by integrating the 3D obstacle map, object relationship topology graph, passable gap information, semantic label priority, and anomaly judgment results, a navigation path for the elderly care robot is generated. This application constructs a complex environmental relationship model and intelligently identifies safe passages and abnormal object placement, generating a highly adaptable and reliable navigation path for the elderly care robot.

The application discloses a kind of library book intelligent query guiding method and system, it is related to book management technical field, according to the target book set formed with starting position point, it is combined with the spatial coordinate matrix and the passage node set constructed, obtains the real distribution characteristics of target book in three-dimensional space;The total walking distance is compared using the generated multiple candidate book taking order, and the optimal book taking sequence is screened out from it, and the user can complete all book taking operations with the overall minimum walking distance;Based on the optimal book taking sequence, a continuous and executable navigation path is generated and directly issued to the user terminal, which realizes accurate route guidance for the user in the actual library environment, effectively overcoming the problem that the traditional library system can only present the independent positions of multiple books and cannot plan the overall shortest route across the area, so that the user no longer needs to manually try walking or repeatedly go back and forth between book areas when facing multiple books distributed on different floors and in different book areas.

The application discloses a robot navigation method and device, equipment and storage medium, relates to the technical field of robot autonomous navigation and path planning, and comprises the following steps: in response to a navigation instruction, acquiring hierarchical scene map data, dividing a navigation task into a plurality of continuous navigation subtasks, planning a path for each navigation subtask, determining a terrain feature distribution and a predicted path of a dynamic obstacle based on point cloud data collected by a robot during the planning process, constructing a terrain cost distribution map, constructing an objective function according to a traffic cost value of a robot passing through a to-be-determined path, and determining a speed parameter and a navigation path at a current time by minimizing the objective function; and executing the navigation subtask until the robot reaches the target position. By constructing the terrain cost distribution map that fuses the point cloud data, the application effectively overcomes the defect that related technologies lose terrain features, can distinguish complex terrains during navigation planning, and improves the accuracy and reliability of path planning.