Road Structure Damage Detection Using Fleet Vehicle Sensors

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Solution Overview

Problem

Existing road management systems require costly vehicles equipped with measurement devices and periodic labor-intensive measurements, making them inefficient and laborious.

Innovation Solution

A road structure management system utilizing vehicles equipped with detection units like LiDAR, radar, and cameras to collect data, which is processed by a server to calculate damage levels and output position information of damaged areas, reducing the need for specialized vehicles and labor.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a specialized vehicle with measurement device is constructed, then measurement accuracy is improved, but cost increases

Engineering Contradiction:
Improveroad structure measurement accuracyVSAvoidvehicle construction cost
Core Design Contradiction:
Measurement precisionVSEase of manufacture

Solution Approach 1:

The patent applies universality by enabling ordinary vehicles to perform road measurement functions in addition to their primary transportation function. The measurement device is integrated into vehicles that already exist in the fleet, allowing them to serve dual purposes: transportation and road structure measurement. This eliminates the need for specialized measurement vehicles while maintaining measurement capabilities.

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

Solution Approach 2:

The system applies self-service by utilizing the vehicles' own detection units and existing operational routes to collect measurement data. The vehicles measure road structures during their normal service operations without requiring separate dedicated measurement missions or specialized equipment, thereby reducing costs while maintaining measurement functionality.

Inventive Principle:
Principle #25Self-service

2Loss of information

If periodic vehicle measurement is implemented, then road structure data is obtained, but labor requirements increase

Engineering Contradiction:
Improveroad structure data collectionVSAvoidmeasurement labor
Core Design Contradiction:
Loss of informationVSEase of operation

Solution Approach 1:

The patent implements continuity of useful action by collecting measurement data continuously during vehicle operations rather than through periodic dedicated measurement campaigns. The detection units continuously capture road structure information as vehicles traverse the road network during normal service, eliminating the need for periodic labor-intensive measurement interventions.

Inventive Principle:
Principle #20Continuity of useful action

Solution Approach 2:

The system applies self-service by automatically collecting measurement data during vehicle operations without requiring human intervention for data collection. The detection units autonomously capture road structure information, and the server automatically processes and stores the data, eliminating manual labor requirements for measurement activities.

Inventive Principle:
Principle #25Self-service

3Area of stationary object

If multiple vehicles collect data, then measurement coverage is improved, but data processing complexity increases

Engineering Contradiction:
Improveroad measurement coverageVSAvoiddata processing system
Core Design Contradiction:
Area of stationary objectVSDevice complexity

Solution Approach 1:

The patent applies merging by consolidating measurement data from multiple vehicles into a unified database on the server. The server integrates detection values from various vehicles, combines multiple data sets, and processes them collectively to extract comprehensive road structure information, thereby managing complexity through centralized data convergence.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The server acts as an intermediary that receives, standardizes, and processes data from multiple vehicles. It serves as a central mediator that harmonizes data from different sources, applies consistent processing algorithms, and generates unified road structure assessments, thereby simplifying the complexity of handling multi-vehicle data through a centralized coordination point.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS20250238767A1Road structure management system and non-transitory storage medium
Publication Date: 2025.07.24 TOYOTA JIDOSHA KK
  • US20250238767A1 patent drawing
  • US20250238767A1 patent drawing
  • US20250238767A1 patent drawing

AI summary

A road structure management system comprising a server device comprising a processor for calculating a degree of damage to road structures based on data acquired from a vehicle, wherein the processor is configured to perform the following processing, obtaining detection values relating to the road structures that affect the travel of the vehicle traveling on the road structures which are detected by a detection unit provided in the vehicle, extracting damaged areas generated in the road structures based on a plurality of the detection values obtained from a plurality of the vehicles, calculating damage degree of the damaged area, in case of the level of the damage degree exceeds a predetermined criterion, and causing an output unit output a position information of the damaged area in the road structure.