81 results about "Road map" patented technology

The invention relates to the field of intelligent automatic driving, in particular to a multi-vehicle cooperative controllable confrontation test method based on a diffusion model. Comprising the following steps: S1, a diffusion model training stage: training a diffusion model based on real driving data, and learning vehicle behavior distribution through forward noise addition and reverse denoising to obtain fixed model parameters; s2, scene and multi-vehicle space-time modeling: fusing the road map, the lane topology and the vehicle state information, and constructing a space-time scene representation of multi-vehicle interaction as input of diffusion generation; s3, a diffusion generation mechanism based on adversarial guidance; s4, performing partial diffusion control and diversified confrontation generation; and S5, evaluating the authenticity and controllability of the multi-agent confrontation scene. Compared with the prior art, the method has the advantage that the authenticity, controllability and closed-loop consistency of multi-vehicle cooperative confrontation scene generation are obviously improved.

In various examples, a simulation platform generates a simulated driving environment by processing road map data to derive the location of wear-related visual artifacts for sections of a lane surface. Using map data, the simulation platform generates texture maps for aesthetic road rendering, which are used to apply textures to a 3D polygon topology mesh. The simulation platform generates visual artifacts representing the wear and tear of the road surface based on a calculation of one or more lane feature distances derived from the map data. The simulation platform calculates distances associated with reference line data derived from an image to render a texture of one or more lane features.The spacing is used to determine how the appearance of the texel is adjusted to include wear-related visual artifacts when displayed on a lane of the simulated driving environment.

Proximity-based surface texture generation for simulated environment systems and applications is disclosed. In various examples, a simulation platform generates a simulated driving environment by processing road map data to infer locations of wear-related visual artifacts for portions of a roadway surface. The simulation platform uses the map data to generate texture maps for aesthetic road rendering, which are used to apply texture to the 3D polygon topology mesh. The simulation platform generates visual artifacts representing use and wear of the roadway surface based on calculating one or more distances from roadway lane features derived from the map data. The simulation platform calculates a distance from the one or more roadway lane features associated with reference line data derived from the image to render the texture. The distances are used to determine how to adjust the appearance of texels to include wear-related visual artifacts when rendering wear-related virtual artifacts on the roadway of the simulated driving environment.

The invention relates to a method for determining at least one safety-critical peak region (R1, R2, R3) on the basis of an indicator value (Z) for statistical characterization of event descriptions detected by at least one vehicle in a location-related manner, wherein those inflow- and outflow-free road sections of which the section length is greater than or equal to a predetermined minimum section length are identified on the basis of a road map or navigation map. Identified road sections which adjoin one another are connected to form in each case a section chain (10) with a starting point (11) and an end point (12). Event descriptions comprising a geoposition (P1, P2) and at least one parameter of a vehicle environment model are detected by vehicles and transferred to an analysis system. The analysis system in each case assigns a nearest road network location (O1, O2) of a section chain (10) to a geoposition (P1, P2) of an event description and describes it by a longitudinal distance (L, L1, L2) in relation to the starting point (11) of the section chain (10). For at least one section chain (10), a profile of a density value (p) of event descriptions that is related to the longitudinal distance (L, L1, L2) from the starting point (11) is determined by means of a kernel density estimator of a predetermined bandwidth. The profile of the density value (p) is transformed, using local, bandwidth-related, Z standardization, into a Z profile (Z1, Z2) of a Z value (Z) which is mean-free in relation to bandwidth. In each case a region of road network locations (O1, O2) along the motorway-like road (100) which are connected along a section chain (10) between a peak beginning (Lmin) and a peak end (Lmax) and at which the Z value (Z) exceeds a predetermined threshold value (θ) is identified as a safety-critical peak region (R1, R2, R3).

The embodiment of the invention discloses a road element prediction method and device, equipment, a medium and a product, and the method comprises the steps: obtaining upstream and downstream roads adjacent to a target road, and constructing a road map with the target road as the center according to the topological relation between the target road and the upstream and downstream roads; taking roads in the road map as nodes, and obtaining static attribute information and track flow time sequence data of each node; generating node features in the road map according to the static attribute information of each node and the trajectory flow time sequence data to obtain a target road map; and carrying out spatial topology feature extraction on the target road map to obtain a representation vector of the target road map, and obtaining a prediction result of whether the road elements of the target road change or not according to the representation vector of the target road map. The technical scheme of the embodiment of the invention can be applied to the field of maps, the change of the road elements can be accurately predicted, and meanwhile, the timeliness and effectiveness of obtaining the change of the road elements are ensured.

The invention provides a vegetable and fruit picking robot path planning method and system. The method comprises the following steps: firstly, constructing a global scene model represented by an octree; then collecting a quality path data packet of the risk local area, generating a local planner, generating a corresponding local area octree code for the risk local area, binding the local planner and the local area octree code as an experience record, and storing the experience record in a knowledge base; in the face of a new picking task scene, new local area octree codes are generated for the new local areas, and the most similar empirical records are retrieved from the knowledge base through recursive structure similarity calculation so as to determine a planning strategy of each new local area; and finally, constructing a discrete road map according to the starting point and the ending point of the new picking task, calculating a new local region sequence, forming a global planner, generating a collision-free continuous track from the starting point to the ending point by using the global planner, and delivering the collision-free continuous track to the robot for execution. The path planning efficiency, the success rate and the path quality of the robot in the complex picking environment can be effectively improved.

The emergency braking area is estimated from the vehicle's position information. [Solution] A map providing server that estimates potential locations for sudden braking by acquiring vehicle information including the time progression of position information measured at predetermined time intervals from positioning sensors mounted on each of multiple vehicles traveling on a road or on portable terminals used by users in each vehicle, as well as vehicle speed information at the same time, and then calculates sudden braking areas by performing clustering processing on the potential locations for sudden braking and plots them on a road map.

A refuse vehicle includes an electric motor powered by a battery, a hydraulic pump driven by the electric motor, a hydraulic actuator powered by the hydraulic pump, and one or more processing circuits being configured to: determine a location of the refuse vehicle including a global position system coordinate, determine a position on a route map using the location, control the hydraulic actuator based on the position on the route map, determine a state of charge of the battery and a threshold for the state of charge below which operation of the electric motor, the hydraulic pump, or the hydraulic actuator is adjusted, and dynamically update the threshold based on the position on the route map or a weight of refuse in a refuse compartment.

The image relating to this design application is for monitoring the running status of an automated guided vehicle (AGV) in a transport facility, as well as various information such as abnormal conditions. The "Target Display Area" in the upper left of the image displays the AGV to be displayed, and the "Location Information Display Area" displays the route map and location information of the AGV as it moves. Furthermore, the route map displayed in the "Location Information Display Area" can be switched from a display of the entire route map, as shown in the "Image Diagram," to a display centered on the location of the AGV, as shown in the "Image Diagram Showing Changed State."

The invention provides an AR superposition method for a CAD road drawing and an unmanned aerial vehicle aerial video, and the method comprises the following steps: S1, converting the coordinates of the CAD road drawing into latitude and longitude data, and obtaining the elevation information of the drawing; s2, latitude and longitude data and elevation data are extracted from each frame of image of the unmanned aerial vehicle aerial video; s3, establishing connection between the CAD road drawing and the unmanned aerial vehicle aerial video by using the CAD road drawing, the unmanned aerial vehicle aerial video and common known information of the latitudes, longitudes and elevations of the CAD road drawing and the unmanned aerial vehicle aerial video, and realizing projection of the CAD road drawing on the unmanned aerial vehicle aerial video; and S4, finally, all the projected points are connected according to the previous connection mode on the CAD road drawing so as to restore the drawing. According to the AR superposition method of the CAD road drawing and the unmanned aerial vehicle aerial video, rapid and fully-automatic superposition is realized by using information contained in the CAD road drawing and the unmanned aerial vehicle aerial video, so that road construction progress supervision and progress reporting are facilitated.

The application provides a road map generation method, a road map annotation method, a computer device and a medium. The generation method comprises the following steps: acquiring lane line parameters output by a preset camera on a preset vehicle and dynamic parameters of nearby moving targets, and acquiring vehicle attitude parameters output by an inertial navigation device on the preset vehicle; determining a driving track of the preset vehicle based on the vehicle attitude parameters; determining a first lane center line of a road where the preset vehicle is located based on the driving track; generating road static data based on the lane line parameters, the vehicle attitude parameters and the first lane center line; and generating dynamic scene data based on the dynamic parameters of the nearby moving targets and the vehicle attitude parameters. According to the application, the lane line parameters output by the camera, the dynamic parameters of the nearby moving targets and the vehicle attitude parameters output by the inertial navigation device are used to determine the static road and the dynamic scene, so as to generate the road map, reduce the cost of generating the road map, and improve the efficiency.

Rating system (10) that determines a network connectivity performance road map (12), wherein the rating system (10) comprises: one or more back-end servers (20) in wireless communication with multiple vehicles (24) located in a geographical area (26) through a wireless communication network (28), wherein the multiple vehicles (24) collect multiple overall performance metrics of the wireless communication network (28); and one or more street map databases (54) in electronic communication with the one or more back-end servers (20), wherein the one or more street map databases (54) store a map data street graph of the geographic area (26) containing multiple nodes (60) connected by multiple edges (62), and one or more statistical measures corresponding to the multiple overall performance metrics of the wireless communication network (28) for each of the multiple nodes (60), and where one or more back-end servers (20) execute instructions to: Calculating one or more statistical measures corresponding to the multiple overall performance metrics of the wireless communications network (28) for each of the multiple edges (62) of the map data street graph of the geographic area (26); and Determining the network connectivity performance road map (12) of the geographical area (26) based on one or more statistical measures corresponding to the multiple overall performance metrics for each of the multiple nodes (60) and for each of the multiple edges (62), Receiving a route request containing a starting point and a final destination from one of the vehicles (24); Calculating distance costs for each of the multiple edges (62) that are part of the network connectivity performance road map (12) in response to receiving the route request; Calculating time costs for each of the multiple edges (62) that are part of the network connectivity performance road map (12), Combining the distance costs and the time costs together on the basis of a weight value assigned to the distance costs and a weight value assigned to the time costs to determine basic edge costs assigned to each of the edges (62) that are part of the network connectivity performance road map (12); and Determining one or more basic route plans by minimizing the basic edge costs assigned to each of the edges (62) located between the starting point and the final destination of the route requirement, characterized by the fact that the one or more back-end servers (20) further execute instructions to: Calculating relief costs for each of the multiple edges (62) that are part of the network connectivity performance road map (12) in response to receiving the route request; and Calculating network live latency costs for each of the multiple edges (62) that are part of the network connectivity performance road map (12).

The invention discloses a vehicle driving mode intelligent decision model construction method and system, and the method comprises the steps: obtaining sample data, which comprises the state and environment parameters of a vehicle during driving, a driving mode, an optimization target parameter and a dynamic constraint parameter; wherein the state and environment parameters comprise a geographic grid where the vehicle is located, and one or more of a loading interval, an environment temperature interval, a mileage interval, a maintenance record and a battery health state of the vehicle; the geographic grid is obtained by dividing the road map according to terrain based on preset terrain granularity; the optimization target parameter is obtained by counting a set target based on preset time or distance granularity; the intelligent decision-making model is obtained through training based on the training sample data, the intelligent decision-making model takes the state and environment parameters as input characteristics, the driving mode which enables the parameters of the target to be optimal and meets the dynamic constraint is output, and the optimal driving mode meeting the dynamic constraint can be automatically and individually decided for the vehicle according to the design target.

The invention relates to a four-dimensional road map imaging method and device, computer equipment and a computer readable storage medium. The method comprises the following steps: acquiring a current frame obtained by scanning an interventional instrument, and determining a candidate frame corresponding to the current frame; performing image reconstruction on a target frame in the candidate frames and the current frame to obtain a current reconstruction result; if it is determined that the interventional instrument is in an advancing state according to the current reconstruction result, fusing an increment part of the current reconstruction result with an original reconstruction result of the interventional instrument to obtain a target reconstruction result of the interventional instrument; and obtaining a four-dimensional road map of the interventional instrument according to the target reconstruction result. By adopting the method, the four-dimensional road diagram of the interventional instrument can be accurately reconstructed.

The application relates to a vehicle control method and device, an automatic driving equipment and a storage medium. The method comprises the following steps: acquiring vehicle positioning information of a target vehicle during driving, and querying road map information in front of the target vehicle according to the vehicle positioning information; identifying a damping mutation road surface in front of the target vehicle according to the road map information; acquiring steering torque compensation information corresponding to the damping mutation road surface; and performing steering control on the target vehicle on the damping mutation road surface according to the steering torque compensation information. The method can improve the steering control accuracy of the vehicle.

This invention provides a method, system, and storage medium for generating process route diagrams. The method includes: acquiring a set of processes and production line resource information; constructing a dynamic constraint model based on the set of processes and production line resource information, the dynamic constraint model including multiple constraints, the constraints being divided into a first priority level and a second priority level including time balance constraints; dividing the set of processes based on the dynamic constraint model to generate multiple candidate process packages, each candidate process package including at least one continuous process, and each candidate process package satisfying the constraints of the first priority level; determining a set of target process packages from the candidate process packages based on the constraints of the second priority level, each target process package in the target process package set matching a workstation, and the target process package set satisfying time balance constraints; and generating a process route diagram based on the target process package set. This application can efficiently and accurately generate process route diagrams in personalized customized production.

1.The name of the design product: graphical user interface for viewing aircraft operation information of electronic device. 2.The use of the design product: for an electronic device. 3.The design points of the design product: in the graphical user interface. 4.The picture or photo that best shows the design points: design 1 front view. 5.Specify design 1 as the basic design. 6.The use of the graphical user interface: for viewing aircraft operation information. 7.The human-computer interaction mode of the graphical user interface: design 1 front view is the interface of the aircraft in the state of not taking off, when the aircraft takes off, the interface jumps to the interface for viewing the current flight state of the aircraft as shown in the design 1 interface change state diagram; design 2 front view is the interface of the aircraft in the state of normal flight, when the mouse is hovered over the left or right scale bar, the interface jumps to the interface for viewing the current flight speed and height of the aircraft as shown in the design 2 interface change state diagram; design 3 front view is the interface of the aircraft in the state of normal flight, when the flight speed value and height value exceed the safe range value, the interface jumps to the interface for viewing the dangerous flight speed and height information as shown in the design 3 interface change state diagram; design 4 front view is the interface for changing the corresponding function state as shown in the design 4 interface change state diagram by clicking the icons in the left navigation bar of the interface bottom instrument panel in sequence; design 5 front view is the interface for switching to the plane route map as shown in the design 5 interface change state diagram by clicking the route map on the right side of the interface; “XXX” in each of the above interfaces represents replaceable text and / or numbers, and the gray block represents replaceable content screen.

The invention relates to the technical field of road detection, and discloses a road detection device and method based on an unmanned aerial vehicle and a PDA road map system, and the device comprises a control providing module which is used for importing an electronic map into the PDA road map system, matching the flight path of the unmanned aerial vehicle with the PDA road map system, and planning the flight path of the unmanned aerial vehicle; the unmanned aerial vehicle acquisition module is used for acquiring a road surface image according to the flight path by using an unmanned aerial vehicle carrying multiple sensors; the communication processing module is used for carrying out real-time data transmission on various data and carrying out interaction operation; and the data processing module is used for carrying out restoration processing on the pavement image based on the variation model. A flight path of an unmanned aerial vehicle along a road is planned, an unmanned aerial vehicle acquisition module synchronously triggers multiple sensors to acquire multi-modal road surface data, various data are transmitted in real time, a degraded image in a complex environment is restored based on a variational model, and road surface defects are analyzed through a deep convolutional neural network fused with physical prior.

The invention relates to a smart vehicle system and control logic with automatic lane merging assistance. Dexterous vehicle systems and control logic that provide automated lane merging assistance, methods for making / using such systems, and vehicles equipped with such systems are presented. A method of operating a motor vehicle includes a vehicle controller communicating with a host vehicle tracking device to receive location data therefrom indicative of a current location of the motor vehicle. Using such location data and a digital road map, the controller maps the location of the motor vehicle to the vehicle road and detects a lane merge event in response to the location of the host vehicle coinciding with a road section merge with another road lane section at a lane merge point. In response to detecting the lane merge event, the controller determines a new mirror angle for the driver mirror and concurrently commands the mirror actuator to move the driver mirror to the new mirror angle before the motor vehicle reaches the lane merge point.

The application relates to a method for generating a power switch chain based on an ant colony and a neighborhood search algorithm, which comprises the following steps: obtaining the name and coordinate position of a power switch unit psc in a digital back-end module block; sampling and segmenting the coordinate data of the block to obtain a plurality of data packets; searching each data packet by using the ant colony and the neighborhood search algorithm to plan a power route map of each data packet; taking each data block comprising the psc as a node to obtain a single traversal route map in the power route map; merging the power route maps of the data packets to obtain a power route map of the block; in the power route map of the block, all data blocks comprising the psc are arranged in a single traversal mode from an initial data block comprising the psc; in each data block, a plurality of pscs included in the data block are arranged in a single traversal mode; the psc coordinates in the power route map of the block are converted to obtain the names of the pscs, and the pscs are connected to form a power switch chain. The application realizes efficient and stable connection of the power switch chain.

The application discloses a traffic flow repairing method and system based on space-time fusion and self-attention mechanism. The application proposes a traffic flow repairing method combining space-time and space-time elimination. The space-time combination enables the model to add spatial information, time information and numerical values and regard them as a whole when using the self-attention mechanism, fully utilizes the spatial information of the road network and the before-and-after relationship of time in the road, and improves the utilization rate of road map information. The application proposes a space-time fusion and self-attention mechanism for traffic flow repairing. The space-time fusion and self-attention mechanism combines spatial and time information, enables the model to extract the implicit relationship of traffic flow between different roads, and learns the historical flow characteristics of the road map. The application proposes a method of repairing and fusing two kinds of sequence data in forward and reverse sequences. Two sequences are obtained through the traversal method in the forward and reverse sequences, various information of different sequences is extracted, and the repairing accuracy is improved.

The invention relates to a path planning method and system based on skeleton nodes and a probability road map. The method comprises the following steps: acquiring an obstacle map comprising path obstacles; performing expansion operation on the edge of the obstacle map and the path obstacle to obtain a map skeleton; extracting line intersection points in the map skeleton to obtain skeleton nodes of the map skeleton; constructing a collision-probability-free road map for avoiding obstacles based on the skeleton nodes; and searching the non-collision probability road map based on a shortest path priority principle to obtain a shortest target path from the path starting point to the path end point, thereby solving the problems of low planning efficiency and high efficiency caused by easy generation of redundant path nodes or invalid search in a complex application scene in the existing traditional algorithm. And it is difficult to quickly generate an optimal path meeting actual requirements.

The invention discloses a residential area accessibility identification method and device, computer equipment and a storage medium, and relates to the technical field of traffic planning. The method comprises the following steps: filtering initial road map data based on a preset road filtering condition and road attribute data to obtain target road map data; obtaining first road network layer data and second road network layer data according to the target road map data; performing recursive intersection analysis on the first road network layer data and the second road network layer data to obtain target road network layer data; and performing overlay analysis according to the resident point location data and the target road network layer data to obtain a resident point arrival result. Therefore, according to the target road map data, the really connected target road network layer data is constructed, the resident point location data and the target road network layer data are used for overlay analysis to obtain the resident point accessibility result, and the accessibility judgment efficiency is improved.

Embodiments of the present application provide a vehicle networking beam prediction method and device based on a multi-modal large model. The method comprises: obtaining a camera image of a target vehicle, positioning data, base station positions of a road section and a three-dimensional road map of the road section; inputting the positioning data, the base station positions and the three-dimensional road map into a ray tracing model to obtain propagation characteristics of a wireless communication signal; inputting the propagation characteristics and the camera image into a scatterer projection model to obtain scatterer characteristics in the image; optimizing a multi-modal large model according to a channel characteristic data set containing the camera image and the scatterer characteristics, and constructing a scatter heat map, and then obtaining a beam prediction data set for training of a beam prediction model for training. The technical solution of the present application can effectively extract channel characteristics in the camera image, accurately predict beam indexes and beam coherence times in a codebook by combining the channel characteristics and positioning information, and improve the communication transmission rate and energy efficiency of the system.

A vertical-takeoff-and-landing (VTOL) aircraft includes a plurality of navigation sensors and processing circuitry configured to implement a navigation system. The plurality of navigation sensors is configured to output navigation sensor data. The navigation system is configured to receive road map data, aviation map data, and navigation sensor data and execute an automated emergency landing control module. The automated emergency landing control module is configured to identify a plurality of candidate landing sites using the road map data, the aviation map data, and the navigation sensor data, and select a target landing site from among the plurality of candidate landing sites. Upon detection of an emergency condition, the automated emergency landing control module outputs the target landing site.

Computer-implemented method for map matching of GNSS positions (G1, G2, G3) of a vehicle (1) with location information (P1a, P1b, P1c, P2a, P2b, P3a, P3b) of a digital road map (K), comprising the steps: Acquisition (S1) of GNSS positions (G1, G2, G3) of the vehicle (1) along a route of the vehicle (1); Recording (S2) a distance (E1, E2) determined using a vehicle sensor (10), in particular a wheel speed sensor, between each pair of detected, consecutive GNSS positions (G1, G2, G3) of the vehicle (1); and Map matching (S3) of the determined distance (E1, E2) between the two recorded consecutive GNSS positions (G1, G2, G3) of the vehicle (1) with a route length (L1, L2) between the two recorded consecutive GNSS positions (G1, G2, G3) of the vehicle (1) on the digital road map (K).

An information presentation method is for presenting information to a user in a vehicle interior of a vehicle for transporting a cargo. The method includes displaying first guidance information indicating, on a road map, at least part of a first route from a current position of the vehicle to a destination of the vehicle. The first guidance information is displayed on a display provided in the vehicle interior. The method includes switching the first guidance information displayed on the display to second guidance information when the vehicle reaches a predetermined range from the destination. The second guidance information indicates, on a premises map of the destination, at least part of a second route to a stop position at which the vehicle is required to stop for handling the cargo on premises of the destination.

The invention provides an information interaction method and device, equipment, a medium and a program product in one case. The method comprises the steps that a first control and initial media content are displayed on a first page, and the first control is used for triggering generation of a route map; in response to a trigger operation for the first control, displaying the location information on the first page, the location information, the initial media content and the state of the node in the route map having a linkage relationship, the route map being generated based on the associated location of the initial media content, the location information and the node representing the associated location, and the node representing the associated location; the initial media content and the route map are used for generating target media content. According to the method and the device, the problem in the aspect of presentation effect of the target media content in related technologies is solved under one condition, the target media content with the route information is efficiently generated, the immersion of browsing the target media content by a user is increased, and the user experience is improved.

The application discloses a behavior intervention system for juvenile traffic safety education and relates to the technical field of traffic safety education, and comprises the following steps: generating a multi-dimensional behavior DNA image based on operation data of juveniles in a virtual training scene; matching user resident geographic location information according to high-risk scene features in the multi-dimensional behavior DNA image and automatically labeling spatial anchor points in a real road map; and completing a micro intervention task by a user through a gesture action, instantly comparing the micro intervention task with historical data of the multi-dimensional behavior DNA image, and recording a safety behavior digital certificate of the micro intervention task; and adding the safety behavior digital certificate to a regional safety behavior integral pool and setting a family reward mechanism. The application constructs a multi-dimensional behavior DNA image by using micro behavior data such as a dangerous identification time difference and a decision accuracy rate collected in a virtual training scene, and realizes accurate characterization of individual risk features.

The invention relates to a vehicle display system (10) for a motor vehicle (12) for displaying location information, comprising a display device (14) configured to display a road map (15), a user profile management module (16) configured to assign at least one motor vehicle (12, 18) to a user profile (13), and a communication interface (20) configured to provide location data of the motor vehicles (12, 18) assigned to the user profile (13), wherein a processing device (22) is arranged which is configured to synchronize authorization information transmitted from an application linked to the user profile (13) on a mobile device, in particular a smartphone app, with the user profile (13) of the motor vehicle (12), so that the locations of several motor vehicles (12, 18) assigned to the user profile (13) are displayed simultaneously on the road map (15).Furthermore, the invention relates to a method.