Object Priority Mapping for Accurate Autonomous Movement Control

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

There is a need for a technique that can perform autonomous movement control of a mobile object with high accuracy.

Innovation Solution

An information processing apparatus that includes a classification unit to classify detected objects in a space based on predetermined criteria and a generation unit to set priorities for the objects based on the classification results, generating position-related information for improved autonomous movement control.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If position-related information is generated without object classification and priority setting, then the processing is simpler, but the accuracy of autonomous movement control is reduced

Engineering Contradiction:

Improveaccuracy of autonomous movement controlVSAvoidcomplexity of information processing

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The information processing is segmented into distinct stages: object detection, classification into categories (moving objects, stationary objects, etc.), priority setting based on classification results, and position-related information generation. This segmentation allows each stage to focus on specific tasks, improving overall accuracy while making the complex process more manageable and systematic

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Object classification and priority setting are performed as preliminary actions before generating position-related information. By pre-classifying objects and assigning priorities beforehand, the system ensures that the most relevant objects are processed first with appropriate attention, thereby improving the accuracy of autonomous movement control without adding unnecessary complexity during the main processing stage

Inventive Principle:

Principle #10Preliminary action

2Reliability

If all detected objects are treated equally in position information generation, then the processing is simpler, but the reliability of autonomous movement control is reduced

Engineering Contradiction:

Improvereliability of autonomous movement controlVSAvoidcomplexity of object processing

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

Different quality levels (priorities) are assigned to different objects based on their classification. Moving objects receive higher priority for frequent updates, while stationary objects receive lower priority. This local differentiation of processing quality ensures that critical objects are monitored more reliably without uniformly increasing the complexity of processing all objects

Inventive Principle:

Principle #3Local quality

3Measurement precision

If object classification and priority setting are implemented, then the accuracy of position-related information is improved, but the processing time increases

Engineering Contradiction:

Improveaccuracy of position-related informationVSAvoidprocessing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs classification and priority setting for all detected objects, but focuses detailed processing primarily on high-priority objects. For low-priority objects, the processing is simplified or performed less frequently. This partial action approach maintains high accuracy for critical position information while reducing overall processing time by not applying full processing intensity to all objects equally

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS12217512B2Information processing apparatus and information processing method

Publication Date: 2025.02.04 SONY GROUP CORP

AI summary

An information processing apparatus according to an embodiment of the present technology includes a classification unit and a generation unit. The classification unit classifies an object detected in a space on a basis of a predetermined criterion. The generation unit sets a priority for the object on a basis of a classification result by the classification unit, and generates position-related information regarding a position in the space on a basis of the set priority. Use of the position-related information makes it possible to improve the accuracy of autonomous movement control. This makes it possible to improve the accuracy of autonomous movement control.