Situation Estimation Unit for Moving Body Surroundings
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Solution Overview
Problem
Existing technologies fail to accurately estimate the situation of physical bodies in the surroundings of a moving body, as they only consider the movement of the target body and not other elements like obstacles, leading to incomplete motion analysis.
Innovation Solution
An information processing apparatus and method that estimates the situation of physical bodies in the surroundings by combining movement locus data of a moving body with environment data using machine learning techniques, such as CNNs, to distinguish between people and objects, their movement directions, and crowdedness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only movement locus data of the moving body is used for analysis, then the analysis process is simple, but the estimation accuracy of the situation in surroundings is insufficient
Solution Approach 1:
The patent combines movement locus data with environment data (such as camera images and sensor data) to create a comprehensive analysis system. This merging of multiple data sources enables accurate estimation of the situation in surroundings by integrating information about the moving body's motion with contextual environmental information, thereby resolving the contradiction between analysis simplicity and estimation accuracy.
2Measurement precision
If environment data is added to movement locus data, then the situation estimation accuracy improves, but the data processing complexity increases
Solution Approach 1:
The patent introduces a situation estimation unit as an intermediary component that processes both movement locus data and environment data. This mediator integrates the two data types and generates comprehensive situation estimates, managing the complexity of processing multiple data sources while maintaining high estimation accuracy through structured data fusion.
3Loss of information
If only the moving body is tracked, then the tracking system is simple, but the understanding of surrounding physical bodies is incomplete
Solution Approach 1:
The patent creates a multi-functional analysis system that can simultaneously track the moving body, detect surrounding physical bodies, estimate situations, and analyze environmental context. This universal system handles multiple functions through integrated processing of movement locus data and environment data, reducing information loss about surrounding bodies while managing detection system complexity through unified data handling.
Data Source
AI summary
There are provided an information processing apparatus, an information processing method, and an information processing program by which a situation of a physical body in the surroundings of a moving body can be estimated with high accuracy. The information processing apparatus includes a situation estimation unit that estimates, on the basis of movement locus data indicative of a movement locus of a moving body and environment data indicative of an environment in the surroundings of the moving body, a situation of a physical body in the surroundings of the moving body.