AI Sensor Fusion for Virtual High-Resolution Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle sensors have limitations in detection performance due to differences in physical quantities, detectable ranges, and data acquisition speeds, leading to unstable control and increased manufacturing costs when high-performance sensors are used.
Innovation Solution
A sensing information processing device and method that generates virtual information with improved resolution using a learning model, combining sensing information from multiple sensors with different resolutions to enhance detection performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-performance sensors are used to improve detection performance, then detection precision is improved, but manufacturing cost increases
Solution Approach 1:
The patent creates virtual sensing information that copies the characteristics of high-resolution sensor data through AI processing. The system generates virtual information from lower-resolution sensor inputs, effectively creating a digital replica of what high-performance sensors would produce, thereby achieving high detection precision without the associated high manufacturing costs
Solution Approach 2:
The patent transforms the resolution parameter of sensing information through AI processing. By changing the resolution parameter from low to high through virtual information generation, the system achieves high detection performance while using cost-effective sensors with lower native resolution, thus resolving the contradiction between detection precision and manufacturing cost
2Measurement precision
If multiple sensors are used to improve detection performance, then detection precision is improved, but device complexity increases
Solution Approach 1:
The patent merges sensing information from multiple sensors with different resolutions and characteristics into unified virtual information. The AI processing integrates data from various sensor types, combining their strengths while presenting a unified high-resolution output, thereby improving detection performance without proportionally increasing system complexity
Solution Approach 2:
The patent introduces AI processing as an intermediary that mediates between multiple sensors and the final detection output. This intermediary layer harmonizes data from different sensor types, resolving complexity by providing a standardized processing framework that handles multiple sensor inputs and produces unified virtual information
Data Source
AI summary
A sensing information processing device and method are capable of improving detection performance of a sensor by generating virtual information with improved or increased resolution using a learning model. In addition, a sensing information processing device and method are capable of further improving detection performance of a sensor by training a learning model using sensing information of different resolutions.