Mobile Object Control Using Pedestrian Signals in Non-Road Areas

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Solution Overview

Problem

Existing systems for controlling mobile objects do not consider pedestrian signals, leading to potential control failures in certain circumstances.

Innovation Solution

A control device for mobile objects that includes a road type recognizing unit, an acquisition unit, a traffic signal recognizing unit, and a control unit to manage movement based on pedestrian signal information, using auxiliary information such as alarm sounds for visually impaired persons and motion detection to recognize and adapt to changing traffic signals.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the system only uses basic sound collection without considering pedestrian signals, then the system complexity is low, but the control reliability fails in certain circumstances

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

Solution Approach 1:

The system segments the sound collection process into multiple functional modules: a pedestrian signal detection unit that specifically identifies pedestrian signal sounds, a traffic signal state inference unit that deduces traffic signal states from pedestrian signals, and an existing sound collection unit. This segmentation allows the system to improve reliability by adding specialized detection capabilities without entirely redesigning the overall system architecture.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system performs preliminary detection of pedestrian signals before making control decisions. By proactively detecting pedestrian signal sounds and inferring traffic signal states in advance, the system prepares control information ahead of time, ensuring reliable control responses when needed without requiring complex real-time processing during critical moments.

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If the system collects and analyzes multiple types of auxiliary information, then the measurement precision of traffic signal state improves, but the information processing complexity increases

Engineering Contradiction:
Improvetraffic signal state recognition accuracyVSAvoidinformation processing complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system uses pedestrian signal sounds as an intermediary to infer traffic signal states. Instead of directly detecting traffic signals or processing multiple independent information sources, the system listens for pedestrian signal sounds (which are controlled by the traffic signal system) and uses them as a proxy to determine traffic signal states, simplifying the information processing chain while maintaining high accuracy.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system replaces complex mechanical or visual detection mechanisms with acoustic detection. By using sound collection and analysis to detect pedestrian signals and infer traffic states, the system achieves high measurement precision through a simpler sensory modality that doesn't require complex optical systems or multiple sensor arrays.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Speed

If the system responds immediately to pedestrian signal changes, then the control speed improves, but the accuracy of determining whether to progress or stop may decrease without auxiliary information

Engineering Contradiction:
Improvecontrol response speedVSAvoidtraffic signal state recognition accuracy
Core Design Contradiction:
SpeedVSMeasurement precision

Solution Approach 1:

The system uses multiple sources of auxiliary information as feedback to verify and refine traffic signal state recognition. By cross-referencing pedestrian signal sounds with other information sources (such as traffic signal detection, map data, and sensor information), the system achieves both rapid response and high accuracy, as the feedback mechanisms allow for quick validation of signal states without requiring extensive analysis of each individual source.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS20250308379A1Control device for mobile object, control method for mobile object, and storage medium
Publication Date: 2025.10.02 HONDA MOTOR CO LTD
  • US20250308379A1 patent drawing
  • US20250308379A1 patent drawing
  • US20250308379A1 patent drawing

AI summary

A control device for a mobile object that is able to move in both a roadway and a predetermined area other than the roadway includes: a road type recognizing unit configured to recognize whether the mobile object is moving in the roadway or in the predetermined area on the basis of an output of a sensing device for sensing circumstances of the mobile object; an acquisition unit configured to acquire auxiliary information which is information other than traffic information indicating permission of progress and instruction of stop instructed by signaling of a pedestrian signal on which the mobile object focuses and which is indicated by the pedestrian signal and which is used to recognize the permission of progress or the instruction of stop indicated by signaling of the pedestrian signal; a traffic signal recognizing unit configured to recognize traffic information which is the permission of progress or the instruction of stop indicated by signaling of the pedestrian signal using the auxiliary information acquired by the acquisition unit; and a control unit configured to control the mobile object on the basis of the traffic information of the pedestrian signal recognized by the traffic signal recognizing unit when the mobile object is located in the predetermined area.