Identity-based three-dimensional model non-drifting presentation system and method based on satellite positioning

Abstract

The present application relates to a kind of based on identity and satellite positioning three-dimensional model no-drift presentation system and method, belong to satellite direct connection positioning and three-dimensional visualization technical field.System is directly indexed official authentication standard three-dimensional model by carrier identity, replaces real-time perception reconstruction with data source trust, avoids high power consumption;Combined with satellite positioning and physical reference point mapping, three-dimensional model no-drift accurate presentation is realized.The present application supports ground network and satellite communication dual-mode switching, compatible with electronic map platform, provides reliable perception redundancy for intelligent driving, is applicable to vehicle-road cloud cooperation, intelligent navigation, low-altitude control and other scenes, significantly reduces edge computing load and bandwidth occupation, improves system efficiency and positioning accuracy, solves the problems such as large calculation capacity, model drift, easy tampering, no network available of traditional scheme, strengthens road traffic safety, active obstacle avoidance and vehicle-road cloud cooperation control, reduces traffic accident risk.

Description

[0001] Divisional application statement

[0002] This invention patent application is a divisional application of the application filed on March 5, 2026, with application number 2026102639012 and titled "A Vehicle-to-Vehicle Direct Connection Intelligent Terminal Based on Beidou Satellite Direct Connection Supporting Vehicle-Road-Cloud Collaboration". Technical Field

[0003] This invention belongs to the fields of satellite direct positioning, vehicle-road-cloud collaboration and 3D visualization technology, specifically involving a drift-free 3D model presentation system and method based on identity identification and satellite positioning. Background Technology

[0004] With the rapid development of intelligent driving, vehicle-road-cloud collaboration, intelligent shipping, and the low-altitude economy, the three-dimensional morphological perception and safe representation of mobile carriers have become core technological requirements. Traditional solutions merely simplify the carrier to a single-point icon, failing to recreate its true three-dimensional outline and thus making it difficult to meet the requirements for high-precision obstacle avoidance, collaborative supervision, and safe driving.

[0005] The field of intelligent driving has been developing for over a decade, and mainstream industry solutions have long focused on improving computing power, upgrading sensors, and optimizing real-time reconstruction algorithms, resulting in relatively fixed technological inertia and mindsets. Existing 3D perception solutions all rely on LiDAR and cameras for real-time data acquisition, point cloud fitting, and 3D reconstruction, which not only consumes huge amounts of computing power, is costly, and has high latency, but is also susceptible to occlusion and environmental interference, resulting in poor stability.

[0006] For a long time, those skilled in the art have generally adopted the real-time perception computing approach, paying less attention to the lightweight path based on the carrier identity index standard model, resulting in the long-term existence of industry pain points without a fundamental solution. Summary of the Invention

[0007] To address the shortcomings of existing technologies in the fields of mobile carrier positioning visualization, intelligent monitoring, and safe operation, this invention provides a 3D model presentation system and method based on satellite positioning and carrier identity identification. It aims to solve a series of technical problems, including the limitations of traditional carrier positioning representation (single representation, inability to recreate the true 3D outline), high computational cost, high response latency, and high hardware costs in real-time 3D reconstruction, lack of a unique and reliable association between carrier identity and standard models (making it difficult to perform calculations by querying), lack of security protection for model data (easily tampered with and replaced), insufficient positioning accuracy leading to model drift and instability, and high system dependence on terrestrial networks, resulting in inability to operate normally in scenarios without or with weak networks. Simultaneously, it considers the safety protection needs of pedestrians and vulnerable groups in road traffic, constructing a comprehensive, highly reliable, low-consumption, and efficient technical solution.

[0008] This invention constructs a highly reliable digital twin mapping system based on legally valid and unique identifiers such as vehicle VIN codes and ship MMSI codes. Given that these identification codes possess immutable and legally admissible validity within the national traffic management system, this system uses them as indexing benchmarks to ensure a strong dual legal and physical binding between the 3D model and the physical entity. This fundamentally solves the core problems of existing technologies, such as difficulties in safety supervision and liability determination due to arbitrary and unreliable identification methods. Specifically:

[0009] 1. Technical Solution

[0010] As shown in Figure 1, the present invention proposes a three-dimensional model presentation system based on satellite positioning and carrier identification, including a central control unit (100), a satellite navigation and positioning module (200), a parameter storage unit (300), an identification code matching unit (400), and a display interaction unit (500). The modules are connected to each other to realize data interaction.

[0011] The satellite navigation and positioning module (200) receives signals from multiple satellite constellations to achieve positioning. In scenarios requiring higher precision, RTK, Beidou high-precision positioning, and other methods can be used to enhance positioning performance, providing a positioning basis for the accurate presentation of the carrier's three-dimensional model. The parameter storage unit (300) uses an encryption algorithm to store the carrier's identity identifier and the physical parameters of the three-dimensional model, and is hardware-bound to the satellite navigation and positioning module (200) to prevent data from being illegally tampered with or replaced at the hardware level, thus ensuring data credibility. The identification code matching unit (400) directly retrieves and matches the corresponding officially certified standard three-dimensional model in the local offline model library or cloud model library based on the carrier's identity identifier. It does not require real-time perception and three-dimensional reconstruction based on peripherals such as LiDAR and cameras, and replaces dynamic geometric fitting with data source trust, thereby reducing edge computing power consumption and transmission bandwidth occupation from the source.

[0012] The central control unit (100) uses the hardware installation position of the satellite navigation and positioning module (200) or its positioning antenna on the carrier as the physical reference point. According to the preset offset, it spatially maps the three-dimensional model with the real-time positioning coordinates, so that the model can be stably presented in the electronic map scene with equal scale, no drift, and no misalignment. It can also be updated synchronously with the scaling of the scene, ensuring that the form and position information of the carrier are displayed in a true, intuitive, and accurate manner on the visualization interface.

[0013] The three-dimensional model described in this invention can be simplified to a two-dimensional representation based on the display scene and terminal performance; the two-dimensional representation is the proportional outline, boundary symbol, or placeholder graphic of the three-dimensional model, which is an equivalent alternative to this invention.

[0014] The system provides underlying technical support for vehicle-road-cloud collaboration, traffic safety early warning, active collision avoidance, and protection of vulnerable participants through accurate, reliable, and low-cost 3D models or their 2D representations.

[0015] Overall System Workflow

[0016] After the terminal is started, the identification code matching unit (400) obtains the carrier identity identifier and completes encryption verification; after the verification is successful, it directly retrieves and matches the corresponding standard 3D model. The satellite navigation and positioning module (200) receives satellite signals in real time and obtains satellite positioning data; the central control unit (100) completes spatial coordinate mapping with physical reference points, and finally realizes accurate positioning and stable presentation of the 3D model in the display and interaction unit (500). When there is no terrestrial network, the system directly calls the local offline model library to complete the loading of the 3D model, ensuring visualization presentation in all weather and all scenarios.

[0017] In extreme cases, if no matching model is found, you can apply to legally authorized departments such as traffic management departments for officially certified size information.

[0018] Physical reference point calibration and spatial mapping

[0019] To address the problems of model misalignment, jitter, and drift caused by directly using satellite positioning points as the model center or relying on real-time sensing data to dynamically estimate the model position in existing technologies, this invention adopts a coordinate mapping mechanism of physical reference points plus preset fixed offsets. The hardware installation position of the satellite navigation positioning module or antenna is used as the absolute physical reference, and the offset between this reference point and the geometric center of the 3D model is a pre-determined fixed parameter. The central control unit only needs to synthesize coordinates based on the reference point coordinates and the fixed offset to determine the model's true position on the map, eliminating the need for real-time sensing and 3D reconstruction using peripherals such as LiDAR and cameras. This eliminates the need for additional dynamic estimation and complex filtering smoothing, significantly reducing and eliminating model drift caused by accumulated errors and dynamic calculations, achieving stable, drift-free, and accurately aligned presentation of the 3D model on electronic maps. The offset is obtained through factory pre-calibration, platform configuration, or automatic calibration, requiring no on-site adjustment by the user.

[0020] The central control unit (100) supports two physical reference point calibration methods: (1) Terminal self-calibration: the actual installation position of the terminal itself is used as the physical reference point; (2) External positioning antenna calibration: the installation position of the independently installed positioning antenna or the original vehicle positioning antenna is used as the physical reference point.

[0021] The system can use an independently installed antenna or directly reuse the vehicle's original antenna, using the antenna's installation location as a reference point to complete spatial mapping. Using the reference point coordinates (X0, Y0, Z0) as the origin, and combining the carrier's 3D model parameters, the system calculates the offset (ΔX, ΔY, ΔZ), generates a spatial transformation matrix, and finally obtains the model's actual spatial coordinates (X, Y, Z) in the electronic map, achieving a proportional, drift-free, and misaligned precise alignment.

[0022] The central control unit (100) integrates the three-dimensional model with satellite positioning data, enabling the visualized content to achieve accurate positioning, attitude alignment and stable display in the electronic map scene.

[0023] Furthermore, this system can be adapted to various carriers such as motor vehicles, ships, low-altitude aircraft, robots, pedestrians, and mobile phones, and can be implemented in the form of general applications (APPs) such as mobile APP, vehicle-mounted APP, and wearable device APP.

[0024] Furthermore, this system supports uploading carrier identification, 3D model information, and satellite positioning data to the vehicle-road-cloud collaborative management and control platform via terrestrial mobile communication or satellite communication links, constructing a three-dimensional situational awareness network for the entire traffic domain, and providing data support for intelligent driving, active obstacle avoidance, and collaborative traffic safety management and control.

[0025] To further improve positioning accuracy, the system can access cloud-based differential positioning services and perform high-precision location calculations through a unified backend server. In a low-cost, wide-coverage mode, the positioning accuracy can be optimized to 0.5 to 1 meter. For scenarios with extremely high accuracy requirements, high-precision positioning methods such as RTK can be used to further improve positioning performance and meet the precision needs of different scenarios.

[0026] 2. Beneficial effects

[0027] (1) Significantly improves traffic safety and greatly reduces the risk of collision.

[0028] This invention constructs accurate three-dimensional models or their two-dimensional representations and safety redundancy contours based on identity identifiers for traffic participants such as vehicles and pedestrians, enabling proactive safety warnings beyond visual range and in all weather conditions. Especially in scenarios such as visual perception blind spots and severe weather, it can effectively identify potential collision risks, provide early warnings and avoidance assistance, and fundamentally reduce the probability of traffic accidents between vehicles and pedestrians, and between vehicles.

[0029] (2) Provides strong and reliable perception redundancy for intelligent driving, greatly improving the safety of autonomous driving.

[0030] This invention provides intelligent driving and autonomous driving systems with non-visual, beyond-line-of-sight, and low-latency three-dimensional situational awareness capabilities, forming a safety redundancy that complements traditional sensors, solving pain points such as visual occlusion and failure in severe weather, and significantly improving the reliability, traffic efficiency, and active safety level of autonomous driving.

[0031] (3) "Replacing calculation with query" changes the industry's technological inertia, liberating computing power and reducing costs from the source.

[0032] This invention breaks away from the technological inertia of long-term massive investment, computing power accumulation, and hardware stacking in the field of intelligent driving. It breaks away from the mindset of having to perceive and reconstruct in real time. Through the innovative path of "replacing calculation with query", relying on a reliable data source, it significantly reduces the consumption of computing power, hardware costs and bandwidth occupation at the edge from the source, eliminates the risks of model drift, latency and data tampering, and achieves efficient, stable, low-cost and highly reliable 3D presentation.

[0033] (4) Drift-free satellite positioning + dual-mode communication, adaptable to all domains and scenarios

[0034] Based on satellite positioning and physical reference point mapping, the system achieves a stable, proportional, drift-free, and misaligned presentation of 3D models or their 2D representations. The system supports automatic switching between ground and satellite communication, adaptive calling of local and cloud models, and can reuse original factory positioning antennas. It is suitable for all scenarios such as vehicle-road-cloud collaboration, intelligent shipping, low-altitude airspace control, intelligent driving, and pedestrian safety protection.

[0035] (5) Strengthen traffic compliance supervision to help motor vehicles legally and compliantly drive on the road.

[0036] By relying on legally valid and unique identification identifiers such as VIN codes, this invention can achieve accurate verification and reliable supervision of vehicle identities, further regulate the legal and compliant driving of motor vehicles, assist in the governance of violations such as overloading and exceeding weight limits, improve the standardization and safety of road traffic management, and build a more orderly, reliable, and traceable traffic operation environment. Attached Figure Description

[0037] Figure 1 is a structural block diagram of the drift-free 3D model presentation system based on identity identification and satellite positioning according to the present invention;

[0038] Figure 2 is a flowchart of the drift-free presentation method of the three-dimensional model based on identity identification and satellite positioning according to the present invention.

[0039] Attached Figure Labeling Explanation

[0040] Figure 1:

[0041] 100 Central Control Unit

[0042] 200 Satellite Navigation and Positioning Module

[0043] 300 parameter storage units

[0044] 400 Identification Code Matching Unit

[0045] 500 Display Interaction Units

[0046] Figure 2:

[0047] S100 acquires the carrier identity identifier and retrieves a matching standard 3D model.

[0048] S200 acquires satellite positioning data

[0049] S300 completes spatial coordinate mapping using physical reference points.

[0050] S400 achieves precise positioning and stable rendering of 3D models

[0051] S500 data is uploaded to the vehicle-road-cloud collaborative management and control platform. Detailed Implementation

[0052] The following embodiments are preferred embodiments of the present invention and do not constitute a limitation on the present invention.

[0053] As shown in Figure 2, the method of the present invention is implemented in sequence according to steps S100 to S500: First, the corresponding standard three-dimensional model is matched according to the carrier identity identifier, then the positioning information is obtained through satellite, and then the spatial coordinate mapping is completed by combining the physical reference point with the offset to achieve accurate positioning and stable presentation of the model; finally, the carrier identity, three-dimensional model and positioning data are uploaded to the vehicle-road-cloud collaborative management and control platform to complete the full-domain traffic perception, safety warning and collaborative management and control.

[0054] Example 1: 3D Model Presentation of Motor Vehicle VIN Code and Vehicle-Road-Cloud Collaboration

[0055] Heavy-duty freight vehicles or intelligent driving vehicles equipped with this system terminal will have their VIN code automatically read by the identification code matching unit (400) as the carrier's identity identifier. After the parameter storage unit (300) encrypts and verifies the data, it will match the corresponding vehicle model's officially certified 3D model or its 2D representation from the local offline model library. The satellite navigation and positioning module (200) will receive Beidou and GPS signals to achieve positioning. For scenarios with higher positioning accuracy requirements, RTK, Beidou high-precision positioning, and other methods can be further adopted to improve the positioning effect. Users can choose to self-calibrate the terminal body, calibrate the external antenna, or reuse the vehicle's original roof center antenna to determine the physical reference point. The central control unit (100) will complete the spatial coordinate mapping according to the offset. The vehicle's 3D model or 2D outline and icon will be accurately positioned and stably presented in the visualization scene, and will be completely aligned with the road environment.

[0056] This system is compatible with various electronic map platforms. In the map interface, it presents the location and actual shape of the carrier in the form of 3D models, vehicle outlines, 2D icons or graphic symbols. It matches the vehicle model's 3D model with the carrier's identity identifier and achieves accurate alignment and drift-free rendering of the model in the map scene by relying on satellite high-precision positioning. It can be directly applied to functional scenarios such as intelligent driving, autonomous driving beyond line of sight perception, lane-level navigation, AR real-scene navigation, and high-precision parking space display.

[0057] In intelligent driving scenarios, this invention enables vehicles to know each other's precise location, three-dimensional size, driving posture and outer boundary in real time. Even in scenarios where visual sensors fail, such as obstructed vision, blind spots, curves, or being sandwiched by large vehicles, the vehicle can still fully perceive the situation of surrounding vehicles, eliminating the need to "guess" with cameras and radar, thus eliminating the risk of collisions between vehicles at the source and achieving near-zero collision safe driving.

[0058] This invention provides non-visual, beyond-line-of-sight, and highly reliable 3D situational awareness redundancy for autonomous driving systems, completely solving the industry pain point of traditional perception solutions failing under occlusion, inclement weather, strong light, and weak light conditions, and significantly improving the safety, traffic efficiency, and system stability of intelligent driving.

[0059] In areas covered by mobile communication networks, the system prioritizes using terrestrial links to complete cloud model loading, data interaction, and backend reporting, reducing the frequency of satellite communication usage and lowering operating costs. In mountainous and desert areas without terrestrial networks, the system automatically switches to satellite communication mode to ensure uninterrupted functionality, balancing operating costs with full coverage capability.

[0060] This embodiment adopts a lookup-based computation approach, abandoning the redundant links of perception, reconstruction, and fitting. It uses the physical properties of the carrier to deterministically eliminate computational errors, significantly reducing CPU / GPU usage, supporting low-latency rendering of large-scale traffic flows, and perfectly meeting the core requirements of intelligent driving for low latency, high reliability, and strong safety.

[0061] In mountainous and desert scenarios without terrestrial networks, the terminal directly uses the local model without needing to load it online; positioning data, 3D models or their 2D representation data, and VIN code information are directly uploaded to the vehicle-road-cloud collaborative platform via BeiDou short message service, enabling precise vehicle monitoring, overload supervision, platooning, intelligent driving safety assistance, blind spot warning, all-area collision avoidance and active obstacle avoidance, all without manual operation, making it safe and efficient.

[0062] Example 2: 3D Model Presentation of Ship MMSI Code and Ship-Shore Collaboration

[0063] When an inland waterway transport vessel is equipped with this system, the identification code matching unit (400) obtains the vessel's MMSI code as its carrier identity identifier. After encryption and verification, it automatically matches the corresponding officially certified 3D model of the vessel. The satellite navigation and positioning module (200) achieves high-precision positioning via satellite. It uses an external antenna or the ship's original factory positioning antenna for calibration to determine the physical reference point, accurately integrating the vessel's 3D model or 2D contour with the waterway scene. The model is drift-free, and its attitude is synchronized with the vessel's navigation status.

[0064] In port areas with mobile communication network coverage, the system can quickly acquire cloud-based ship models and upload monitoring data via terrestrial networks, reducing satellite communication costs. In remote, network-free waters, it automatically switches to satellite communication, ensuring uninterrupted ship-to-ship communication and ship-to-shore collaboration. This solution eliminates the need for real-time reconstruction using lidar, indexing standard models with identification tags to reduce edge computing load and equipment costs, and improve system stability.

[0065] In open waters without ground communication signals, the terminal relies on a local model library to complete the display. Ships interact with each other via satellite direct connection, exchanging MMSI codes, 3D models and positioning data to achieve autonomous collision avoidance. The maritime management platform receives the 3D status of ships through satellite links, enabling precise scheduling and navigation supervision across the entire route, solving the problem that traditional ship positioning only displays a single point and cannot determine the size of the ship.

[0066] Example 3: 3D Model Presentation of Low-Altitude Aircraft Identification and Airspace Control

[0067] Industrial-grade drones and low-altitude flying cars equipped with this system's terminal use a unique identifier to match the corresponding officially certified 3D model of the aircraft. Satellites enable aerial positioning, and the system can reuse the original airborne antenna, using the antenna mounting point as a physical reference point to complete spatial mapping. The aircraft's 3D model is accurately locked and its attitude is stable in the visualized airspace scene, perfectly aligned with flight paths, no-fly zones, and ground obstacles.

[0068] In urban areas and other areas with mobile communication network coverage, the system can complete model downloads and data transmission via terrestrial networks, reducing operating costs. In remote and network-free areas, satellite communication is automatically activated to ensure flight safety and online control. This solution replaces real-time perception calculations with data source trust, reducing onboard computing power consumption, extending flight endurance, and improving control reliability.

[0069] The terminal uploads identification information, 3D models, and positioning data to the low-altitude control platform via satellite direct connection, enabling aircraft identity verification, route planning, automatic obstacle avoidance, and remote monitoring. It can still operate stably in remote areas, near-shore airspace, and other environments without network coverage, effectively ensuring low-altitude flight safety.

[0070] Example 4: Pedestrian Identification 3D Model Presentation and Enhanced Traffic Safety

[0071] Pedestrians wear dedicated wearable terminals or use smartphones equipped with this system. The unique identification code of the device serves as a trusted identity identifier, enhancing the authenticity and reliability of identity data and preventing arbitrary forgery or misuse that could affect road traffic order. After encryption and verification, the system matches a standard three-dimensional human body model or two-dimensional representation.

[0072] The system uses satellites to locate pedestrians and uses the location of wearable devices or mobile phones as physical reference points to complete spatial coordinate mapping. At the same time, it adds safety redundancy contours to the standard human body 3D model or 2D representation of pedestrians, expands the model's perception boundary, and reserves sufficient safety prediction space, so that the pedestrian model can be accurately displayed in the road, intersection and other scenarios of the electronic map without position drift.

[0073] This embodiment employs an anonymized identity broadcasting and spatial data separation mechanism, broadcasting only temporary anonymous identifiers, location information, motion status, and 3D contour status, without exposing the user's real identity, personal information, biometrics, or traceable data. It strictly achieves "device-perceptible, system-identifiable, and privacy-protected" functionality. Vehicles and roadside equipment can sense pedestrian presence and achieve safe obstacle avoidance, but cannot be associated with any specific individual. The user's real information undergoes compliance verification only locally. Upon successful verification, a dynamic anonymous identity is generated, which is unassociatable and untraceable. This satisfies the needs of traffic safety, proactive warning, autonomous driving obstacle avoidance, and comprehensive collaborative perception, while also complying with data security and personal information protection regulations, providing users with secure, seamless, and sustainable underlying digital identity support.

[0074] For groups such as the elderly and minors, independent wearable terminals can be used for identification and positioning. The wearable terminal can integrate a liveness detection function and only send out valid posture and location information when it is confirmed that the person is wearing it normally, so as to avoid the device falling off or being maliciously placed to form a false obstacle signal. Adult pedestrians with smartphones can use the built-in positioning and communication module of the phone, in conjunction with the application (APP) to load the identity code, match the model and upload the data, without the need for additional hardware modules.

[0075] In areas with mobile communication networks, the system enables rapid interaction of pedestrian model data and location information through terrestrial networks; in areas without networks, it can switch to satellite positioning and satellite communication to ensure that pedestrian status is continuously detectable.

[0076] This solution eliminates the need for real-time pedestrian perception and reconstruction. It directly calls up standard models through pedestrian identification, significantly reducing the computing power consumption of vehicle-mounted and roadside equipment. Vehicles, drones, ships, and other carriers can obtain the precise location and 3D situational awareness of pedestrians with safety redundancy through the vehicle-road-cloud collaborative platform. In scenarios such as lanes, intersections, and work areas, it can identify pedestrian positions in advance and achieve proactive warnings, automatic deceleration, and multi-level obstacle avoidance, minimizing the risk of pedestrian collisions, being run over, and other safety accidents, and comprehensively enhancing the protection of vulnerable road users.

[0077] By incorporating pedestrians into a comprehensive 3D collaborative perception system and leveraging the safety redundancy design of the pedestrian model to further enhance perception and prediction accuracy, this embodiment enables unified situational awareness and collaborative management of people, vehicles, roads, and low-altitude equipment, thereby improving the overall level of road traffic safety. Simultaneously, the pedestrian trusted digital identity, real-time spatial mapping, 3D situational awareness presentation, and anonymous broadcasting mechanism constructed in this embodiment can serve as a foundational capability for physical layer digitization in the real world. This capability can be extended to diverse scenarios such as location interaction, proximity detection, spatial social interaction, public services, emergency rescue, and smart city perception, providing underlying support for comprehensive digital twins of the real world.

[0078] Furthermore, the present invention is not limited to the carrier types described in the above embodiments, but can also be applied to various mobile carriers such as rail transit vehicles, engineering machinery, agricultural machinery, and special operation equipment, as well as objects that require precise positioning and three-dimensional situational awareness, such as pets, livestock, and valuable assets.

[0079] The above are merely preferred embodiments of the present invention and are not intended to limit the scope of the patent. Any equivalent modifications made based on the content of the specification and drawings of the present invention within the scope of the concept and principles of the present invention, and directly or indirectly applied to other related technical fields, should be included within the protection scope of the present invention.

Claims

1. A drift-free 3D model rendering system based on identity identification and satellite positioning, characterized in that, It includes a central control unit (100), a satellite navigation and positioning module (200), an identification code matching unit (400), and a display and interaction unit (500). The satellite navigation and positioning module (200) is communicatively connected to the central control unit (100) and is used to acquire and output satellite positioning data to the central control unit (100); The identification code matching unit (400) is communicatively connected to the central control unit (100) and is used to retrieve and match the corresponding three-dimensional model according to the carrier identity identifier and send it to the central control unit (100). The central control unit (100) is used to complete the spatial coordinate mapping based on the satellite positioning data and the three-dimensional model with physical reference points, and drive the display interaction unit (500) to present the corresponding three-dimensional model.

2. The system according to claim 1, characterized in that, The physical reference point is the hardware installation position of the satellite navigation positioning module (200) or its positioning antenna on the carrier; the central control unit (100) completes spatial mapping according to the preset offset between the reference point and the three-dimensional model to achieve drift-free alignment.

3. The system according to claim 1, characterized in that, It also includes a parameter storage unit (300) for encrypting the identity of the storage carrier and the physical parameters of the three-dimensional model, and is hardware-bound to the satellite navigation and positioning module (200) to prevent illegal data tampering and replacement.

4. The system according to claim 1, characterized in that, The carriers include, but are not limited to, motor vehicles, ships, low-altitude aircraft, robots, and pedestrians.

5. The system according to claim 1, characterized in that, The carrier identification includes, but is not limited to, carrier identification code, device code, vehicle VIN code, ship MMSI code, aircraft identification code, robot serial number, platform authorization dynamic code, vehicle model code, and brand and model information.

6. The system according to claim 1, characterized in that, The 3D model is derived from a local offline model library or a cloud-based model library.

7. The system according to claim 1, characterized in that: The central control unit (100) is also configured to upload the carrier identification, three-dimensional model information and satellite positioning data to the vehicle-road-cloud collaborative management and control platform via a mobile communication link when a terrestrial network is available and via a satellite communication link when no terrestrial network is available, so as to publish the three-dimensional shape and location information of the carrier to other vehicles or roadside equipment.

8. The system according to claim 7, characterized in that: The vehicle-road-cloud collaborative management and control platform receives and stores the carrier's identity identifier, 3D model information, and satellite positioning data for traffic situation monitoring, blind spot warning, and obstacle avoidance assistance.

9. A method for drift-free rendering of 3D models based on identity identification and satellite positioning, characterized in that, Includes the following steps: S100: Obtain the carrier identity identifier and retrieve the matching standard 3D model; S200: Acquire satellite positioning data; S300: Spatial coordinate mapping is completed using physical reference points; S400: Enables precise positioning and stable rendering of 3D models; S500 also includes uploading the carrier's identity, 3D model information, and satellite positioning data to the vehicle-road-cloud collaborative management and control platform via mobile communication links when terrestrial networks are available, and via satellite communication links when terrestrial networks are unavailable. This information is used to publish the carrier's 3D shape and location information to other vehicles or roadside equipment, and to perform full-domain traffic perception, safety warnings, and collaborative management and control.

10. The method according to claim 9, characterized in that: When there is no terrestrial network, the 3D model is called from the local offline model library; when there is a terrestrial network, it is loaded from the local or cloud model library; this method can be implemented on a smartphone as an application (APP).

Images