8 results about "Virtual city" patented technology

The invention discloses an implementation method and system for AI and Agent agents to perform autonomous exploration and produce content, and relates to the technical field of AI and Agent agents, and the implementation method comprises the following steps: receiving an Agent identity file, an exploration target keyword, a narrative style parameter and an observation preference parameter configured by a user at a client, and generating Agent metadata containing character vectors and behavior tendencies; generating a virtual city model with a spatial topological structure based on GIS data, a POI map and historical and cultural corpora, and endowing buildings, roads and NPCs in a city with queriable semantic tags and interactive states to form a city-level semantic environment; by constructing a city-level semantic environment and a multi-agent collaborative exploration mechanism, autonomous perception, hierarchical decision and dynamic narrative generation of the AI Agent in a highly structured virtual city are realized, and by means of deep fusion of GIS data, POI atlas and historical and cultural corpora, a real geographic basis and cultural connotation are given to a virtual space, and immersion and logic coherence are improved.

The application provides a map matching method based on GNSS multipath error to distinguish urban road context environment, relates to global navigation satellite system positioning technology field, and includes the following steps: constructing a virtual city and satellite environment, simulating GNSS signal propagation by using a ray tracing algorithm, and generating a GNSS multipath error distribution heat map; based on error statistical characteristics, the road context environment is divided into multiple error level regions; a buffer region is defined with the GNSS trajectory point to be matched as the center, and then all candidate road segments in which the current GNSS trajectory point of the vehicle is located are screened out; through weighted calculation on the candidate road segments, the road segment with the highest path score is finally selected as the best matching road segment. The application quantitatively measures the spatial distribution of urban multipath error in advance, enhances the adaptive ability of the algorithm to the complex road context environment, effectively suppresses the matching deviation caused by the positioning jump in the high error area, and improves the accuracy and robustness of the map matching.

The invention discloses a binocular vision distance measurement method, system and device based on an unreal engine, and relates to the technical field of distance measurement, and the method comprises the steps: constructing a virtual city through the unreal engine, configuring a virtual binocular camera, carrying out the image data collection, and carrying out the calibration of a collected binocular image; correcting the binocular image according to a calibration result; based on the corrected binocular image and the calibration result, calculating a disparity map by adopting a stereo matching algorithm; calculating depth based on a calibration result and the disparity map to determine a three-dimensional point cloud data set; taking a scene truth value in the virtual city and a corresponding three-dimensional point in the three-dimensional point cloud data set as a sample, and training a machine learning model by adopting a plurality of samples to obtain an error correction model; and inputting the three-dimensional points determined in the actual city into the error correction model to obtain a corrected truth value, and calculating a distance value according to the corrected truth value. According to the invention, the accuracy and robustness of binocular distance measurement in complex environments such as plateau cities and the like can be improved.

A system is provided.SOLUTION: Means for collecting, tagging, and classifying scenic images, means for training an image recognition model using the scenic images, means for generating a prototype of a virtual city using the trained image recognition model, and means for receiving a requirement of a user and reflecting the requirement in the prototype of the virtual city, A system comprising: means for generating a detailed 3D model; means for setting up an earthquake scenario and performing an earthquake simulation in a virtual city to provide escape routes and support points; means for generating a post-earthquake recovery support plan to calculate required resources and present a recovery plan; means for collecting and integrating real city information into a virtual city database; and means for updating real city planning and earthquake countermeasures based on the integrated data.SELECTED DRAWING: Figure 1

This invention discloses a traffic sequence prediction method, apparatus, electronic device, and storage medium. The method includes: determining a target area from the source city based on traffic data from a source city and a target city, and then constructing a virtual city; comparing the geographical data of the virtual city and the target city to obtain network weights; training a prediction model based on the network weights, the virtual city, and the time-series data of the target city; and finally predicting the traffic sequence of the target city. The above technical solution constructs a virtual city based on the target area to retain more traffic data from the source city that is beneficial for predicting the target city, making traffic data migration more stable and reasonable; by training the prediction model based on the network weights, the virtual city, and the time-series data of the target city, the phenomenon of negative migration is mitigated, improving the accuracy and efficiency of traffic sequence prediction; finally, accurate and efficient traffic sequence prediction is achieved through the prediction model.

Embodiments of the present application disclose a method and device for generating a virtual city wall model, a computer device and a storage medium. The method comprises: obtaining a virtual support model, the virtual support model being used to construct a virtual city wall model; obtaining a shape trend of the virtual city wall model, the shape trend being used to reflect a city wall structure of the virtual city wall model and arrangement directions of a plurality of virtual supports constituting the virtual city wall model; and arranging the virtual support model along the shape trend of the virtual city wall model, so as to construct the virtual city wall model by using the virtual support model. According to the embodiments of the present application, a plurality of virtual combination models are arranged on a model arrangement line to obtain an adjustable virtual city wall model. Game producers can adjust the virtual city wall model according to specific requirements to obtain a virtual city wall model meeting the requirements, so that various virtual city wall models can be quickly generated, and the reuse rate and production efficiency of the model are improved.

A software application detects a request to display a three-dimensional (3D) landscape view of resources deployed for a given entity in at least one cloud platform. Next, the software application retrieves at least one parameter associated with each resource of a plurality of resources deployed for the given entity in the cloud platform. Then, for each parameter, the software application determines a volumetric size based on a value of the parameter. Next, the software application causes volumetric graphical elements with the determined volumetric sizes to be rendered for the plurality of resources deployed for the given entity in the cloud platform. Then, the software application causes the rendered volumetric graphical elements to be displayed, in an interactive user interface on a computing device, as virtual buildings in a virtual city landscape, where the virtual buildings represent the plurality of resources deployed in the cloud platform.

The invention provides a city scene-oriented large model evaluation method and device and electronic equipment, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining multi-modal data of a city scene; restoring the city scene based on the multi-modal data to obtain a virtual city simulation scene; constructing at least one evaluation task based on the virtual city simulation scene; for each evaluation task, controlling the to-be-evaluated large model to execute the evaluation task to obtain an execution result of the evaluation task output by the to-be-evaluated large model; and evaluating the to-be-evaluated large model based on each execution result. According to the method, multiple assessment tasks can be constructed based on the virtual city simulation scene obtained by restoring multiple simulation data, the to-be-assessed large model is controlled to execute the multiple assessment tasks, and finally, the to-be-assessed large model is assessed based on each execution result, so that the large model assessment oriented to the city scene is realized, and the assessment efficiency is improved. And the accuracy of large model capability evaluation is improved.