184 results about "Route generation" patented technology

The invention discloses a welding robot system based on body sensing and an intelligent route generation method, and belongs to the technical field of robot welding, the welding robot system comprises a body sensing module, a fusion processing module, an intelligent route generation module and an execution feedback module, the body sensing module collects multi-modal data in parallel through multiple sensing units and preprocesses the multi-modal data; the fusion processing module combines a three-dimensional attention mechanism and digital twinning mapping to realize deep feature fusion, the intelligent route generation module outputs an adaptive path through planning-optimization-layered correction, and the execution feedback module constructs a full-closed-loop dynamic adjustment mechanism. By the adoption of the system and method, the problems that physical and virtual scenes are not synchronous, dynamic interference response is insufficient and path adaptability is poor in complex welding seam welding are accurately solved, and the welding path fitting degree and quality stability are remarkably improved.

The invention discloses a low-drift laser scanning control method and system based on dynamic error compensation, relates to the technical field of laser scanning control, and aims to solve the drift problem in the laser scanning process and improve the scanning precision. The system comprises a system initialization and calibration module, a data acquisition and storage module, an error modeling module, a route planning and correction module and a real-time compensation and closed-loop optimization module, wherein the error modeling module and the route planning and correction module are key modules. The error modeling module comprises a key route screening unit and a data preprocessing unit, and is responsible for constructing a space-time joint error correction model; the route planning and correction module comprises an initial route generation unit, an error prediction unit and the like, and dynamic correction of a pre-planned route is achieved. According to the system, real-time compensation and closed-loop optimization are achieved through cooperation of all the modules in combination with a dynamic error compensation algorithm, scanning drift is effectively reduced, low-drift and high-precision laser scanning is guaranteed, and meanwhile follow-up scanning precision is optimized.

The invention relates to the technical field of tourism big data, in particular to a multi-modal tourism route personalized generation method and system based on deep learning, and the method comprises the steps: constructing and incrementally updating a tourism knowledge hypergraph, extracting hidden time sequence preference and cross-entity cooperation signals of a user through a space-time perception graph neural network, and generating an interest drift model; performing deep fusion and intention analysis on the interest drift model and a context signal sensed in real time, and decoding to generate a candidate route concept skeleton by introducing an attention competition mechanism; and carrying out multi-dimensional simulation deduction and adaptability evaluation on the candidate route concept skeleton, carrying out iterative optimization through a reinforcement learning strategy based on deduction feedback, and finally outputting a personalized tourist route with optimal robustness, so that the robust tourist route which is highly personalized and adapts to environmental changes can be generated, and the robustness of the tourist route is improved. Therefore, recommendation accuracy and user experience are improved.

The invention discloses a low-altitude air route generation method, device and equipment and a storage medium, and belongs to the technical field of low-altitude flight. The method comprises the following steps: acquiring a three-dimensional space model and population density distribution of a target area; determining the path cost of each voxel based on the population density of each voxel at the ground projection in the three-dimensional space model, the obstacle state of each voxel and the distance between each voxel and the target facility; and taking a first position in the three-dimensional space model as a starting point, taking a second position in the three-dimensional space model as an end point, and taking the lowest sum of the path costs of voxels passing between the first position and the second position as a target to carry out path planning so as to obtain a target low-altitude airway. According to the scheme, the low-altitude aircraft can be far away from a densely populated area, avoids obstacles as much as possible and flies according to the instruction of the target facility in the target area, and meanwhile the flight efficiency and safety are guaranteed.

An embodiment a computer-implemented method for setting an autonomous parking route includes generating an autonomous parking route by a first route generation method using a parking space and a surrounding space; generating an autonomous parking route by a second route generation method using a cloud center and a pre-trained spatial recognition deep learning model; generating an autonomous parking route by a third route generation method using a pre-trained route generation deep learning model installed in a controller of a vehicle; performing virtual driving along the routes generated by the first, second, and third route generation methods; and determining set routes in accordance with a preset route priority in the vehicle performing autonomous parking for passed routes when the virtual driving is passed.

The invention relates to the technical field of railway construction, in particular to a method, system and equipment for generating a route in a tight slope area, a medium and a program product. The method comprises the following steps: obtaining a road line selection design standard and a DEM grid elevation file of a research area; determining intelligent search parameters according to a road line selection design standard; generating a global feasible path tree from the starting point to the ending point; sequentially backtracking path nodes from an end point to a starting point, and sorting out a feasible three-dimensional path set; and generating a corresponding plane and longitudinal plane route scheme by using the three-dimensional node coordinates of the single path. According to the method, a global feasible path tree from the starting point to the ending point is constructed through a multi-way tree line search algorithm, a research area does not need to be traversed, the data processing amount is reduced, the scheme generation efficiency is improved, and generation of a feasible scheme can be ensured by constraining a road line selection design standard.

The invention relates to the technical field of power transmission line inspection, in particular to a power transmission line unmanned aerial vehicle intelligent inspection device which comprises an unmanned aerial vehicle, an airborne computing system is carried on the unmanned aerial vehicle, an angle adjusting mechanism is mounted on the bottom surface of the unmanned aerial vehicle, a mounting shell is mounted at the bottom of the angle adjusting mechanism, and a laser radar and a visible light camera are mounted in the mounting shell; a feature extraction and matching module and an intelligent route generation module are arranged in the airborne computing system; the inspection device further comprises rear-end equipment, the airborne computing system communicates with the rear-end equipment, an intelligent report generation module is arranged in the rear-end equipment, and the rear-end equipment is used for processing images collected by the visible light camera. The tower type and size are quickly identified through the feature extraction and matching module, and the route is automatically planned through the intelligent route generation module, so that manual intervention can be reduced, the route planning efficiency is improved, and the method is particularly suitable for large-scale application of large power grid companies.

The invention discloses a tourist route planning system based on an AI large model, and relates to the field of computer technology application. In order to solve the defects of lack of accuracy, reasonability and reference of recommendation results caused by tourist route recommendation in the prior art, the technical scheme provided by the invention is as follows: the tourist route planning system based on the AI large model comprises a scenic spot library construction module, a tourist route planning module and a tourist route planning module, the scenic spot database module is used for generating scenic spot information of each region through an AI large model and establishing a scenic spot database containing unique identifiers; the user input module is used for receiving travel demand information input by a user; the semantic analysis module is used for analyzing travel demands input by natural languages and generating structured data; the route generation module is used for generating a tour route from a scenic spot library according to the structured data; and the visual display module is used for displaying the text information and the map information of the tour route. The method is suitable for intelligent travel planning work of automatically generating a high-quality and visual travel route according to individual requirements of the user.

A route generation system (100) for an autonomous mobile robot 1 that moves in accordance with a preset operation table while detecting sign posts (SP) arranged along a movement route (10) comprises an imaging unit (26) that detects the sign posts (SP), a mobile body that moves the imaging unit (26) along the movement route (10), a sensor unit (40) that detects movement information for the mobile body, and an operation table generation unit (50) that generates the operation table on the basis of detection results from the imaging unit (26) and the sensor unit (40).

The application provides a kind of unmanned aerial vehicle map spot investigation route planning method and device, wherein the method comprises: obtaining the vector polygon boundary data of the region to be investigated, and constructing target surface and planning surface with different task semantics and geometric characteristics;According to the ground coverage size of a single photo calculated by camera parameters and ground sampling distance, classify the map spot;According to the determined map spot type, adopt the matching route generation strategy to generate the classified route;Based on the classified route, generate the discrete flight point set of unmanned aerial vehicle, and decouple the action arrangement of spatial position and evidence attitude.Through the application, the flight and photographing time of unmanned aerial vehicle in non-target area is reduced, the coverage efficiency is improved, and the problem of poor efficiency and accuracy of map spot investigation in the prior art is solved.

A vehicle control device, which reduces intervention in automatic parking by a driver, includes a processor and a memory, that control the vehicle to a target parking position. The vehicle control device includes an obstacle detection unit detecting a position of an obstacle around the vehicle, a travelable region setting unit that determines a region where the vehicle may travel based on the position of the obstacle, and sets the target parking position within the travelable region, a route generation unit that calculates a travel route to the target parking position within the travelable region, and an automatic parking execution unit that causes the vehicle to automatically travel toward the target parking position. When a driver intervenes during the automatic traveling, the route generation unit stores vehicle state information at the time of the intervention, and resets the travelable region based on the driver operation intervention information.

The invention relates to a travel recommendation route generation method and a travel recommendation route display method. The travel recommended route generation method comprises the steps of planning an initial route based on travel starting and ending points of a target object and interest points marked and selected from a map under the condition that a recommendation function of a map application logged in by the target object is started; determining at least one recommendation point matched with the initial route based on a historical travel record of the target object; determining at least one passing point selected by the target object from the interest points and the recommendation points; and performing route planning based on the historical travel record and each passing point, and generating a travel recommendation route containing the recommended residence time and the passing sequence of each passing point. By adopting the method, the process of searching and determining the waypoints by the target object can be simplified, route planning is performed in combination with the historical travel record of the target object, habits such as travel preference of the target object can be fully considered, and a travel recommended route better conforming to the preference of the target object is obtained.

The present invention relates to a method for displaying, on a user interface, a process of generating, on the user interface, a 3D map composed of point clouds from using point cloud information acquired through a drone traveling around a facility, and generating an inspection route along which the drone can travel, on the basis of the generated 3D map and a 2D map obtained by viewing the 3D map from an arbitrary point.

The invention provides a transmission network route generation method and device, equipment, a medium and a program product, and relates to the technical field of communication engineering, and the method comprises the steps: determining resource objects of a plurality of hierarchies, and distributing a corresponding unique identifier for each resource object; according to the unique identifier, establishing a hierarchical topological association relationship between the hierarchical resource objects to obtain a hierarchical resource model; adding corresponding attribute information to each resource object through a hierarchical resource model; determining a corresponding macroscopic routing direction according to the attribute information and the hierarchical resource model; determining a candidate routing scheme set according to the macroscopic routing direction and the hierarchical topology association relationship; screening the candidate routing scheme set according to the plurality of target dimensions to obtain a screened optimal routing scheme or a sorted candidate scheme list; wherein the target dimension comprises time delay, the number of nodes and routing preference; the method provided by the invention is used for realizing the technical effect of improving the generation efficiency and flexibility of the transmission network route.

The invention relates to a route generation method, device and equipment, a storage medium and a program product, and relates to the technical field of hovercars. The technical problem that the flight route may have safety risks in the related technology can be solved. The method comprises the steps that route information of a first route and route information of a second route are obtained, the first route is an initial flight route, determined by the aerocar, of the aerocar, the second route comprises routes of other aircrafts having intersection with the navigation time period of the first route, and the other aircrafts are aircrafts except the aerocar; based on the position information of each track point in the route information of the first route and the moment of reaching each track point, and the position information of each track point in the route information of the second route and the moment of reaching each track point, determining to-be-adjusted information of the first route; and adjusting the first route based on the to-be-adjusted information to generate a target route.

Provided are a route generation device, a vehicle control device, and a vehicle route distribution system capable of making an emergency vehicle reach a destination without delay. Provided on a server (100) that generates and distributes route information are a route generation unit (101) that generates route information from map information and destination information of a vehicle, a route information storage unit (102) that saves the route information, a general vehicle traffic count calculation unit (104) that calculates the number of general vehicles traveling on a travel route of an emergency vehicle, and an emergency vehicle travel lane generation unit (105) that generates travel lane information that determines whether a lane on which the emergency vehicle travels passes a current travel lane, an opposite lane, or a middle between the travel lane and the opposite lane.

The embodiment of the invention provides a method and a device for processing a route in a game, electronic equipment and a storage medium, and relates to the technical field of games, the method comprises the following steps: in response to a way-finding instruction input by a player, determining a starting point and an ending point corresponding to the way-finding instruction, and obtaining voxel grids corresponding to a game scene; taking the voxel grid as a reference, emitting a ray with a preset length along a preset detection direction to carry out ray collision on the ground surface of the game scene to obtain a collision point between the voxel grid and the ground surface, and taking the collision point as a way finding point; performing path-finding processing according to the starting point and the ending point, and obtaining a target path-finding point corresponding to the path-finding instruction; the route is generated according to the target way-finding point, the navigation route corresponding to the way-finding instruction is obtained, and the navigation route is displayed in the game scene, so that the finally generated navigation route can adapt to different game scenes, and the flexibility and universality of navigation route generation are improved.

The invention discloses a route generation method, route generation equipment and a storage medium, and the method comprises the steps: responding to an operation on a route template, and displaying the operated route template on a display interface where a map is displayed; the route template comprises route tracks corresponding to one or more route segments; determining a corresponding route starting point of the route template on the map; and determining the flight route of the movable platform according to the route starting point and the route template.

A procedure for generating a road-based user-defined route includes: determining whether a received route generation input contains a road input; if the road input is included, assessing the suitability of the road input and selectively correcting the road input according to the suitability assessment; determining a road application scope by comparing a first scope based on the route generation input and a second scope based on the road input; and generating a user-defined route that reflects the application scope determined above.

This application discloses a method for generating travel routes based on interest tag matching, belonging to the field of route generation technology. It addresses the problems of insufficient matching accuracy and decreased path continuity during travel route generation. The method generates interest weights by parsing user input semantics with tags and integrating search volume and historical behavior response frequency. It assesses popularity levels by combining the co-occurrence relationship of interest point tags, filters and labels POIs based on response weights and popularity levels, predicts user accessibility based on the opening time intervals of each POI, and generates an initial travel route. It collects the tag coverage quantity and travel distance of each POI along the route, analyzes behavioral conversion characteristics through tag coverage quantity, and calculates priority correction values ​​based on travel distance to optimize the initial route. Finally, it outputs a travel route that balances interest matching and itinerary continuity, improving the personalized adaptability and executability of route planning.

The invention discloses an unmanned aerial vehicle route planning method based on channel engineering and related equipment, and the method comprises the steps: generating a strip-shaped inspection region according to spatial position information, further generating a plurality of parallel routes, connecting the parallel routes into a continuous flight route, and carrying out the optimization; calculating available flight time of the unmanned aerial vehicle according to battery parameter information and power consumption parameter information of the unmanned aerial vehicle, setting a plurality of segmentation points on a continuous flight route, segmenting the continuous flight route into a plurality of safe sub-flight segments, and setting safe landing preparation points; and according to the orthoimage and the three-dimensional point cloud data of the strip-shaped inspection area, constructing a three-dimensional environment model of the strip-shaped inspection area, further generating an obstacle avoidance path, and obtaining a safety inspection route. According to the embodiment of the invention, through the technologies of parallel route generation and segmentation, three-dimensional obstacle avoidance and the like, the problems of low efficiency, insufficient coverage rate, large potential safety hazard and the like in a traditional inspection mode are solved. The method can be widely applied to the technical field of unmanned aerial vehicle route planning.

The application discloses a public transport line generation method and system based on road congestion avoidance, comprising the following steps: constructing a public transport search graph; obtaining a pickup point input by a user, obtaining a congestion index of the input pickup point, a first-order neighbor of the input pickup point or a second-order neighbor of the input pickup point based on the public transport search graph, and generating a recommended pickup point according to the congestion index; obtaining a starting point and a terminal point input by the user, constructing a candidate line set based on the public transport search graph, screening the candidate line set, and generating a recommended line. The application can provide a road congestion avoidance travel line for the user, save the travel time of the user, intelligently guide the user to go to a suitable station to take a bus during a peak period, enhance the willingness of the user to use public transport for travel, and realize green travel.

The invention provides a recommended route generation method and a storage medium, and relates to the technical field of route generation. And determining an invariant moment corresponding to each group of track points when the track points are segmented at the current time on the basis of the positions of a plurality of track points in each group of track points after the track points are segmented at the last time, and determining a central point of an equivalent graph of each group of track points on the basis of the invariant moment. The statistical distribution characteristics of the track point set can be extracted, the actual driving route is converted into the center point sequence of the equivalent graph capable of reflecting the geometric distribution characteristics, and the recommended route is generated. According to the scheme, the spatial distribution characteristics of the track points on the historical driving route can be effectively sensed. Therefore, the recommended route is fused with the driving experience of the actual driving route of the driving starting point and the driving ending point, and the feasible recommended route which better conforms to the driving intention is provided for the target vehicle. In addition, the scheme is allowed to select a preset number of times according to requirements of segmentation levels, and recommendation routes with different granularities and practicability and reliability are generated.

The invention relates to the technical field of financial science and technology and big data processing, and discloses an enterprise credit report automatic acquisition and credit business co-processing system, which converts a request into a context vector through a business request analysis module; the dynamic strategy route generation module calculates an acquisition priority based on the vector and generates a targeted task configuration file; the multi-source heterogeneous data acquisition module executes data acquisition; the data conflict arbitration module constructs a bipartite graph topological structure, eliminates conflicts among sources by using trust propagation iteration, and outputs cleaned feature vectors; the credit risk quantitative evaluation module calculates a credit score based on nonlinear mapping; and when the score falls into a gray interval, the gray closed-loop feedback module calculates decision ambiguity and feeds back an offset correction vector, and triggers supplementary collection of the uncollected data source. According to the method, on-demand data acquisition and truth value automatic discovery are realized, the boundary sample decision problem is effectively solved through a gray closed-loop mechanism, and the automation level of a credit system is improved.

To provide a route enabling efficient work by a work implement while driving a work vehicle.SOLUTION: The route generation device comprises an input device configured to input work information relating to work performed by a work implement mounted on a work vehicle while driving the work vehicle in a field, and a control device configured, based on field information relating to the field and the work information, to create a plurality of work routes for performing the work by the work vehicle and the work implement respectively in a first region of the field, a second region and a third region separated by the first region, and to create a plurality of movement routes for sequentially moving the work implement by the work vehicle to the plurality of work routes according to a work order of the first region, the second region, and the third region.SELECTED DRAWING: Figure 1

Provided is an agent control system of the like in which an agent can perform predetermined tasks during monitoring. The agent control system comprises: a monitoring status evaluation unit that calculates a monitoring evaluation index indicating the quality of the monitoring status for each location within a predetermined area on the basis of monitoring information sent from an agent moving within the predetermined area; a global route generation unit that generates a route plan for the agent on the basis of business management information including the agent's destination and task type, and the monitoring evaluation index; and a route plan transmission unit that transmits route plan data to the agent.

The application relates to a route planning method of an unmanned helicopter based on a diffraction principle, and the steps are as follows: (1) constructing a terrain threat model T t , (2) calculating a track point optimization data set B, (3) preliminarily selecting an optimal flight route fpb, (4) dynamically adjusting the flight route, constructing a real-time flight route set, (5) updating the initial optimal route, and generating a real-time optimal route fpn, (6) improving the optimal initial route by adopting a cubic B-spline curve method and a route optimization algorithm, and realizing flight route flyability optimization. The application is a route optimization problem considering the terrain threat characteristics, flight safety and aircraft performance. The example results show that the light diffraction principle can realize automatic route generation in a complex threat environment, the method can provide effective flight service for the unmanned helicopter, and the flight safety and reliability are improved.

This application provides a route generation method, applied to an SRv6 network and including: receiving, by a first network device, a first notification packet from a second network device; where the first notification packet includes a network slice identifier, the first notification packet indicates an association relationship between information of the network slice identifier and an IPv6 address prefix of the second network device, and the network slice identifier is used to identify one network slice; and generating, by the first network device, a route forwarding entry for the IPv6 address prefix of the second network device based on an association relationship between the network slice identifier and the IPv6 address prefix of the second network device. This helps implement a network slice and resource isolation in the SRv6.