Abnormality Prioritization Display for Automated Driving Fleets

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Solution Overview

Problem

Existing technologies fail to effectively notify observers which of multiple images to focus on, especially in scenarios where multiple vehicles experience abnormalities simultaneously.

Innovation Solution

An information processing apparatus that communicates with multiple vehicles performing automated driving, receives notifications of abnormalities, in-vehicle images, and passenger counts, prioritizes vehicles based on automated driving process load and passenger count, and displays the highest priority vehicle's abnormality and image with emphasis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If multiple vehicles' abnormality notifications are displayed simultaneously, then the observer receives comprehensive information, but it becomes difficult to identify which vehicle requires immediate attention

Engineering Contradiction:
Improvenumber of abnormality notificationsVSAvoidease of identifying critical vehicle
Core Design Contradiction:
Quantity of substanceVSEase of operation

Solution Approach 1:

The patent applies color changes to indicate priority levels of abnormality notifications. Different colors are assigned to represent different priority levels, allowing observers to quickly identify which vehicles require immediate attention without having to analyze each notification in detail. This visual encoding system transforms the quantity of information into an easily interpretable visual hierarchy.

Inventive Principle:
Principle #32Color changes

Solution Approach 2:

The patent changes the parameter of visual emphasis by adjusting display characteristics such as brightness, size, or positioning based on priority level. High-priority notifications are displayed with enhanced visual parameters (e.g., larger icons, brighter colors, or prominent positioning) while lower-priority notifications use subdued parameters, enabling rapid identification of critical vehicles among multiple notifications.

Inventive Principle:
Principle #35Parameter changes

2Loss of information

If all vehicle images are displayed with equal emphasis, then all information is visible, but the observer cannot determine which vehicle to prioritize

Engineering Contradiction:
Improveinformation visibilityVSAvoidtime to determine priority
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The patent segments the display into multiple priority levels, dividing the information hierarchy into distinct categories. Instead of presenting all vehicle images uniformly, the system segments them based on calculated priority scores, creating visual groups that reflect their relative importance. This segmentation allows observers to focus on high-priority segments first while knowing that lower-priority information is still available.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent implements periodic updates of priority calculations and display arrangements. When new abnormality notifications arrive or existing conditions change, the system periodically recalculateS priorities and reconfigures the display accordingly. This dynamic, periodic adjustment ensures that the most current critical information remains prominently visible while maintaining efficient information presentation over time.

Inventive Principle:
Principle #19Periodic action

Data Source

PatentUS12236787B2Information processing apparatus, information processing method, and non-transitory computer readable medium
Publication Date: 2025.02.25 TOYOTA JIDOSHA KK
  • US12236787B2 patent drawing
  • US12236787B2 patent drawing
  • US12236787B2 patent drawing

AI summary

An information processing apparatus capable of communicating with a plurality of vehicles configured to perform automated driving includes a controller configured to execute operations, the operations including receiving, from each of the plurality of vehicles, a notification of a content of an abnormality, in-vehicle images, and the number of persons in the vehicle, prioritizing the plurality of vehicles based on determination results by determining, for each of the plurality of vehicles, a load of an automated driving process and the number of persons in the vehicle, and displaying with emphasis the content of the abnormality of a vehicle of a highest priority and the in-vehicle images of the vehicle of the highest priority.