Virtual character memory extraction and application system and method based on geographic position triggering
By constructing a virtual character memory system triggered by geographic location, and combining multimodal perception and hybrid retrieval algorithms, the problem of insufficient interaction capabilities of virtual characters in real geographic space in existing technologies is solved, and efficient memory storage and personalized interaction in outdoor LBS scenarios are realized.
Patent Information
- Application Number
- CN202512019476.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-30
- Publication Date
- 2026-04-03
AI Technical Summary
Existing technologies are insufficient in deeply integrating the intelligent dialogue capabilities of LLM with real geospatial environments. They cannot provide a coherent, realistic, and highly contextualized interactive experience in outdoor LBS scenarios, lack spatial dimensions, or cannot operate effectively in the real physical world, resulting in insufficient interactive capabilities.
A virtual character memory retrieval and application system based on geolocation is constructed. GNSS data, IMU data, and environmental image streams are collected through a multimodal perception module. Combined with the H3 index calculation library and AR rendering engine, and utilizing the spatiotemporal memory library and generative inference service of the cloud server, hybrid retrieval and adaptive updates are achieved. The extended Kalman filter algorithm is used to fuse location data, and a dual-attenuation hybrid scoring model is combined for memory retrieval.
It enables efficient memory storage and retrieval of virtual characters in real geographical space, solves the problems of memory fragmentation and context loss in cross-regional interaction, improves the coherence and personalization of interaction, and meets the needs of outdoor AR tours and immersive games.