CN-120576758-B - Outdoor immersive text travel hybrid positioning and dynamic rendering optimization method

CN120576758BCN 120576758 BCN120576758 BCN 120576758BCN-120576758-B

Abstract

The invention relates to the technical field of high-precision positioning, in particular to an outdoor immersive travel hybrid positioning and dynamic rendering optimization method, which comprises the steps of obtaining a positioning signal of a mobile terminal in a target service area through a hybrid positioning model; the positioning signals comprise ultra-wideband ranging signals, visual inertial odometer signals, real-time carrier phase difference signals and inertial navigation signals, the positioning signals are processed through a multi-layer signal processing filtering model to obtain coordinate data and generate space coordinates, a user movement situation prediction model is built based on the space coordinates to generate navigation prediction tracks and navigation confidence coefficient and generate a preloading strategy, geographic environment parameters of a target service area are obtained, the space coordinates, the geographic environment parameters, the preloading strategy and virtual objects are integrated through a multi-dimensional virtual-real fusion model to generate an augmented reality space scene, and the user movement track data and the augmented reality space scene are analyzed through a multi-mode driving model to generate interactive content.

Inventors

HANG XING
LIU YUSHI
LIU MINGFEI

Assignees

江苏迅高智能科技有限公司

Dates

Publication Date: 20260512
Application Date: 20250528

Claims (6)

1. An outdoor immersive travel hybrid positioning and dynamic rendering optimization method is characterized by comprising the following steps: the method comprises the steps of obtaining a positioning signal of a mobile terminal in a target service area through a hybrid positioning model, wherein the positioning signal comprises an ultra-wideband ranging signal, a visual inertial odometer signal, a real-time carrier phase difference signal and an inertial navigation signal; Constructing a user movement situation prediction model based on space coordinates, analyzing a user movement track to generate a navigation prediction track and a navigation confidence coefficient; the user movement situation prediction model comprises the following steps: the track feature extraction module is used for analyzing the historical space coordinate sequence based on the sliding time window and extracting track features of the movement of the user, including a speed change mode, a direction conversion frequency and stay point distribution features; The motion state identification module is used for identifying the motion state of the user by combining the current motion state parameters, and comprises four states of walking, standing watching, rapid movement and direction exploration; calculating navigation confidence coefficient by calculating the deviation degree of the navigation predicted track and the actual track, and when the navigation confidence coefficient is not lower than a preset threshold value, performing pre-rendering processing on the virtual object according to the navigation predicted track to generate a pre-loading strategy; Obtaining geographic environment parameters of a target service area, integrating space coordinates, the geographic environment parameters, a preloading strategy and virtual objects through a multidimensional virtual-real fusion model, and generating an augmented reality space scene; And analyzing the movement track data, the space coordinates and the augmented reality space scene of the user through the multi-mode driving model to generate interactive content.
2. The method for hybrid positioning and dynamic rendering optimization of outdoor immersive travel according to claim 1, wherein the hybrid positioning model comprises an ultra-wideband positioning layer, a positioning module and a positioning module, wherein the ultra-wideband positioning layer is used for determining the distance relation between a mobile terminal and each base station based on a multilateral positioning algorithm and generating an ultra-wideband ranging signal; The visual inertial odometer layer is used for collecting environmental visual characteristic points, acquiring position track information of a local coordinate system by combining motion data of the inertial measurement unit and outputting a visual inertial odometer signal; The global navigation positioning layer obtains positioning signals, obtains global position references through carrier phase observation value difference processing between the reference station and the mobile station, and generates real-time carrier phase difference signals; And the inertial navigation layer is used for measuring the linear acceleration, the angular velocity and the magnetic field intensity of the mobile terminal, providing high-frequency gesture and motion state data and generating an inertial navigation signal.
3. The outdoor immersive travel hybrid positioning and dynamic rendering optimization method of claim 1, wherein: the multi-layer signal processing filtering model comprises a first filtering layer, a second filtering layer, a third filtering layer and a fourth filtering layer, wherein the first filtering layer is used for preprocessing ultra-wideband ranging signals, real-time carrier phase difference signals and inertial navigation signals by adopting a Kalman filtering algorithm, removing signal abnormal values through state prediction and observation updating steps and outputting preliminary position estimation data; The second filtering layer adopts a complementary filtering algorithm to fuse the local map data constructed by the visual inertial odometer signal with the preliminary position estimation data and output multisource fusion position data; the weight distribution mechanism calculates the credibility weight coefficient of each positioning source in real time based on the signal intensity, the environment shielding condition and the sensor confidence level, and outputs a dynamic weight parameter; And the coordinate calculation module is used for carrying out weighted least square calculation on the multi-source fusion position data by utilizing the dynamic weight parameters to generate three-dimensional space coordinate data.
4. The outdoor immersive travel hybrid positioning and dynamic rendering optimization method of claim 1, wherein: the multi-dimensional virtual-real fusion model comprises an environment sensing layer, a target service area acquisition layer and a target service area acquisition layer, wherein the environment sensing layer acquires illumination intensity, weather conditions, terrain elevation and object surface material information of a target service area in real time to obtain geographic environment parameters; The digital asset matching layer is used for selecting virtual buildings, roles and scene elements corresponding to the current space coordinates based on the three-dimensional digital model library and adjusting the light and shadow, material reflection and physical properties of the virtual objects according to the geographic environment parameters; The space registration layer is used for positioning the virtual object subjected to the environment adaptation to a corresponding position in the real scene by utilizing the coordinate data, and the alignment of the virtual content and the physical environment is realized by a coordinate transformation algorithm; And the dynamic synchronization layer monitors the change of the geographic environment parameters and the preloading strategy in real time, updates the visual performance of the virtual object and generates an augmented reality space scene.
5. The outdoor immersive travel hybrid positioning and dynamic rendering optimization method of claim 1, wherein the multi-modal driving model comprises a user behavior analysis layer, a user movement track data processing device and a user movement track data processing device, wherein the user behavior analysis layer is used for carrying out track segmentation and pattern recognition on the user movement track data, and extracting behavior characteristic parameters of a user at different space positions, including stay time, movement speed and interaction frequency; The content matching layer is used for retrieving historical culture information, building background and character stories related to the current position from a pre-constructed knowledge graph according to the current coordinate data of the user and the augmented reality space scene information; the multi-mode fusion layer comprehensively analyzes text description, image resources and audio materials, generates dialogue texts conforming to the current scene context and creates visual elements matched with the historical background; And the personalized generation layer dynamically adjusts the information weight retrieved by the content matching layer based on the personal preference characteristics extracted by the behavior characteristic parameters to generate customized interactive content, wherein the customized interactive content comprises virtual character conversations, historical scene reproduction and interactive task design.
6. The method for hybrid localization and dynamic rendering optimization of outdoor immersive travel according to claim 2, wherein a plurality of ultra-wideband base stations are deployed in a target service area, time synchronization is achieved between the base stations in a wireless mode, and the mobile terminal calculates three-dimensional space coordinate data of the mobile terminal by measuring arrival time differences of signals from different base stations and utilizing a hyperbola localization principle.

Description

Outdoor immersive text travel hybrid positioning and dynamic rendering optimization method Technical Field The invention relates to the technical field of high-precision positioning, in particular to an outdoor immersive travel hybrid positioning and dynamic rendering optimization method. Background Along with the continuous development of cultural tourism scenes to the immersion and intelligence directions, the navigation demands of tourists in the outdoor environment increasingly show diversified and real-time trends. Traditional travel navigation modes, such as paper maps, two-dimension code navigation cards and handheld voice navigation equipment, have the problems of weak interactivity, strong positioning dependence, low navigation precision and the like, and are difficult to meet the comprehensive requirements of current tourists on immersive autonomous navigation and path guidance. In a complex outdoor scene, as the environmental topography is changeable and the tourist activity area is wider, the navigation system faces multiple challenges of how to guide the user to complete path recognition, pose adjustment, interest point touch and the like in real time. Most of the existing systems rely on fixed paths or preset points to prompt navigation information, lack the ability of dynamic adjustment according to the current state of users, and especially in multi-target and multi-path open scenic spots, the real-time performance, suitability and contextual relevance of the navigation information are difficult to ensure, and the navigation experience is affected. In addition, the current navigation device often cannot effectively integrate information such as a user motion state, an orientation change, a space reference point and the like to perform comprehensive navigation control, so that a navigation instruction is easy to deviate from an actual scene position relation, and continuous and stable guidance is difficult to realize. Although partial systems attempt to adopt multiple sensors to carry out auxiliary navigation (such as geomagnetism, an accelerometer, a gyroscope and the like), a complete set of multisource fusion navigation method suitable for outdoor travel scenes is still lacking, and synchronous management of dynamic position relations, navigation paths and environment elements of users in the scenes is difficult to realize. Therefore, an outdoor immersive travel hybrid positioning and dynamic rendering optimization method is provided. Disclosure of Invention The invention aims to provide an outdoor immersive travel hybrid positioning and dynamic rendering optimization method which comprises the steps of obtaining positioning signals of a mobile terminal in a target service area through a hybrid positioning model, processing the positioning signals through a multi-layer signal processing filtering model to obtain coordinate data, resolving the coordinate data through a weighted least square method to generate space coordinates, obtaining geographic environment parameters of the target service area, integrating the space coordinates, the geographic environment parameters and virtual objects through a multi-dimensional virtual-real fusion model to generate an augmented reality space scene, and analyzing movement track data, the space coordinates and the augmented reality space scene of a user through a multi-mode driving model to generate interactive content. The outdoor immersive travel scene is more intelligent. In order to achieve the above purpose, the present invention provides the following technical solutions: An outdoor immersive travel hybrid positioning and dynamic rendering optimization method comprises the following steps: the method comprises the steps of obtaining a positioning signal of a mobile terminal in a target service area through a hybrid positioning model, wherein the positioning signal comprises an ultra-wideband ranging signal, a visual inertial odometer signal, a real-time carrier phase difference signal and an inertial navigation signal; Constructing a user movement situation prediction model based on space coordinates, analyzing a user movement track to generate a navigation prediction track and a navigation confidence coefficient; Obtaining geographic environment parameters of a target service area, integrating space coordinates, the geographic environment parameters, a preloading strategy and virtual objects through a multidimensional virtual-real fusion model, and generating an augmented reality space scene; And analyzing the movement track data, the space coordinates and the augmented reality space scene of the user through the multi-mode driving model to generate interactive content. Preferably, the hybrid positioning model comprises an ultra-wideband positioning layer, a multi-edge positioning algorithm and a hybrid positioning module, wherein the ultra-wideband positioning layer is used for determining the distance relation between a mobile terminal and each