Multimodal We-Map Generation for Fast Personalized Mobile Mapping

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing map-making technologies require professional cartographic knowledge, result in slow mapping speeds, and fail to meet the needs of personalization and micro-content required by We-maps, particularly on mobile terminals.

Innovation Solution

An intelligent map-making system and device for We-maps utilizing multi-modal interaction data fusion, user portrait building, self-adaptive design, and intelligent generation on mobile terminals, enabling gesture, voice, and eye movement interactions to create personalized maps quickly and efficiently.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If traditional tool mapping method is used, then map making can be completed with professional tools and processes, but the threshold is high and mapping speed is slow

Engineering Contradiction:

Improvemap making accessibilityVSAvoidmapping speed

Core Design Contradiction:

Ease of manufactureVSProductivity

Solution Approach 1:

The patent replaces traditional mechanical mapping tools (brushes, carving knives, electronic pens) with an intelligent system that uses mobile terminal sensors, image recognition algorithms, and automated map generation technology. This substitution eliminates the need for manual drawing operations while maintaining map creation capability, thereby reducing the skill threshold and improving mapping speed.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The intelligent map-making system performs automated functions including automatic map element recognition, automatic map structure generation, and automatic map optimization. The system serves itself by using AI algorithms to complete tasks that previously required professional cartographic knowledge and manual operations, making map making accessible to ordinary users.

Inventive Principle:

Principle #25Self-service

2Manufacturing precision

If traditional tool mapping method is used, then professional cartographic knowledge can ensure map quality, but the making cycle becomes long

Engineering Contradiction:

Improvemap qualityVSAvoidmaking cycle

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

The system pre-establishes a comprehensive database containing map elements, symbols, projection methods, and cartographic standards. By having these resources prepared in advance, the system can quickly assemble high-quality maps during the making process without requiring users to search for or learn about these elements, thereby maintaining map quality while reducing the making cycle.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces the time-consuming manual processes of map element selection, symbol design, and cartographic data analysis with automated image recognition and AI algorithms. These algorithms can analyze and process map elements in seconds, maintaining professional quality standards while reducing the making cycle from hours or days to minutes.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Adaptability or versatility

If conventional map making processes are followed, then comprehensive map elements can be included, but the process becomes complicated and slow

Engineering Contradiction:

Improvemap content completenessVSAvoidmaking process complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments the complex map-making process into distinct automated stages: image capture, feature recognition, map element extraction, structure generation, and output. Each stage is handled by specialized algorithms that work independently but coordinate together, simplifying the overall process while maintaining comprehensive map content through systematic processing of all necessary elements.

Inventive Principle:

Principle #1Segmentation

4Reliability

If traditional map making methods are used, then professional standards can be maintained, but personalization and micro-content needs are neglected

Engineering Contradiction:

Improvecartographic standard complianceVSAvoiduser personalization capability

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system dynamically adjusts map content and characteristics based on real-time user input, preferences, and contextual information. The AI algorithms can modify map elements, symbols, and presentation styles on the fly while maintaining adherence to cartographic standards, enabling both personalization and standard compliance simultaneously through adaptive processing.

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS20260065539A1Intelligent map-making system and device for we-map

Publication Date: 2026.03.05 LANZHOU JIAOTONG UNIV

AI summary

Disclosed are an intelligent map-making system and device for a We-map, which mainly include an intelligent map-making system for a We-map and an intelligent making device on a mobile terminal. The system includes: a We-map natural interaction making module based on gesture interaction, voice interaction and eye movement interaction, a multi-modal interaction data fusion device, a user portrait building module, a We-map self-adaptive designer and a We-map intelligent generator. The device includes a We-map natural interaction interface designer, a We-map mapping interface optimizer, a We-map data processor, a We-map memory and a We-map user manager.