Detection Reliability Index Fusion for Vehicle Sensing

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing detection systems for vehicles face issues with erroneous detection and detection errors due to sensor performance and environmental factors, lacking a reliable measure of the accuracy of detected information.

Innovation Solution

An information processing apparatus that integrates multiple indices of reliability, including identification and measurement information, to provide a single integrated index indicating the overall reliability of detection targets, using a combination of sensors and processors to enhance detection accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If multiple sensors and detection methods are used to improve detection accuracy, then the reliability of detection results improves, but the device complexity increases

Engineering Contradiction:
Improvedetection reliabilityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent combines multiple individual reliability indices (identification reliability, measurement reliability, etc.) into a single integrated reliability index through weighted summation. This merging approach maintains comprehensive assessment capability while simplifying the output structure, thereby improving reliability without proportionally increasing system complexity.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The integrated reliability index serves multiple functions: it evaluates both identification accuracy and measurement precision, works across different sensor types, and provides a unified metric for various detection scenarios. This multi-functionality allows the system to handle diverse detection requirements with a single standardized output.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Reliability

If comprehensive detection information is provided to improve decision-making accuracy, then the quality of detection results improves, but the loss of time in processing increases

Engineering Contradiction:
Improvedetection qualityVSAvoidprocessing time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system pre-calculates individual reliability indices for different aspects (identification, measurement, etc.) during the detection process itself, rather than computing them separately afterward. This preliminary action allows the integrated reliability index to be quickly assembled from pre-computed components, reducing additional processing time while maintaining comprehensive assessment.

Inventive Principle:
Principle #10Preliminary action

3Measurement precision

If individual reliability indices for different detection aspects are calculated to improve measurement precision, then the accuracy of detection information improves, but the device complexity increases

Engineering Contradiction:
Improvedetection precisionVSAvoidprocessing complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the overall reliability assessment into distinct individual indices (identification reliability, measurement reliability, etc.), each focusing on specific detection aspects. This segmentation allows precise evaluation of different detection dimensions while maintaining modular processing that reduces overall system complexity through structured decomposition.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS12548181B2Information processing apparatus, sensing apparatus, mobile object, method for processing information, and information processing system
Publication Date: 2026.02.10 KYOCERA CORP
  • US12548181B2 patent drawing
  • US12548181B2 patent drawing
  • US12548181B2 patent drawing

AI summary

An information processing apparatus includes an input interface, a processor, and an output interface. The input interface obtains observation data obtained from an observation space. The processor detects a subject image of a detection target from the observation data, calculates a plurality of individual indices indicating degrees of reliability, each of which relates to at least identification information or measurement information regarding the detection target, and also calculates an integrated index, which is obtained by integrating a plurality of calculated individual indices. The output interface outputs the integrated index.