Data Generator Mapping Multi-Vehicle Sensing to Virtual Space
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Solution Overview
Problem
Existing data generators for generating top-view images from captured images lack the capability to effectively map and synchronize sensing data from multiple moving bodies in a virtual space, limiting their ability to provide a comprehensive and accurate representation of the surrounding environment, especially in scenarios like platooning where vehicles need to maintain awareness of each other's positions and movements.
Innovation Solution
A data generator system that includes circuitry and memory to obtain sensing data from multiple moving bodies using sensors like cameras, map this data into a virtual space, and determine the position and direction of the data based on real-space positions and directions, allowing for the generation of wide-area top-view images that can track movements and synchronize data across vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If sensing data from multiple moving bodies is mapped into a virtual space to generate wide-area top-view images, then the recognition range of the environment is improved, but the device complexity and computational requirements increase
Solution Approach 1:
The patent introduces a virtual space as an intermediary coordinate system to map and synthesize sensing data from multiple moving bodies. This virtual space acts as a mediator that transforms complex multi-source data integration into a manageable synthesis process, enabling wide-area environment recognition without directly increasing physical device complexity
Solution Approach 2:
The patent segments the environment recognition task by dividing it into multiple sensing data sources from different moving bodies, each contributing to a specific portion of the wide-area top-view image. This segmentation allows the system to handle complex data integration through modular processing of individual sensing inputs
2Measurement precision
If the position of sensing data is determined based on real-space position to enable movement tracking, then the measurement precision of vehicle positions is improved, but the computational load and processing time increase
Solution Approach 1:
The patent performs preliminary actions by pre-establishing the virtual space coordinate system and pre-defining the mapping relationships between real-space positions and virtual-space positions. This preliminary setup enables faster real-time position determination during actual operation, reducing processing time while maintaining high measurement precision
Solution Approach 2:
The patent replaces complex mechanical position tracking systems with a computational mapping approach using virtual space coordinates. This substitution reduces the need for complex hardware while achieving high position accuracy through mathematical transformations between real-space and virtual-space coordinate systems
3Reliability
If synthesized data from multiple moving bodies is generated to provide comprehensive environment awareness, then the reliability of surrounding area recognition is improved, but the quantity of data to be processed increases
Solution Approach 1:
The patent merges sensing data from multiple moving bodies into a single synthesized wide-area top-view image in the virtual space. This merging process consolidates redundant information while preserving complementary data, improving environment recognition reliability without proportionally increasing the total data quantity that needs to be processed and stored
Data Source
AI summary
A data generator which achieves further improvement includes circuitry and memory connected to the circuitry. The circuitry, in operation: obtains sensing data from each of a plurality of moving bodies that includes a plurality of sensors, the sensing data being configured based on results of sensing by the plurality of sensors; and generates synthesized data by mapping the sensing data of the moving body into a virtual space, and when generating the synthesized data, determines a position of the sensing data to be mapped into the virtual space, based at least on a position of the moving body in a real space corresponding to the sensing data.