Rail Vehicle Image Recognition Map Update

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Solution Overview

Problem

Creating and updating travel map information for vehicles traveling along rail tracks is time-consuming and labor-intensive, especially when changes occur, as it requires associating extensive position information with basic map information.

Innovation Solution

A vehicle equipped with a travel controller that performs image recognition to determine rail track shapes and control travel portions, an information obtaining portion to collect position information and order, and memory to store this information, allowing the vehicle to travel without complete travel map information and simplify the association process.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If complete travel map information is prepared in advance by associating position information with basic map information, then the vehicle can travel along the rail track, but the work required to create and update the travel map information takes a substantial amount of time and efforts

Engineering Contradiction:
Improvetravel control accuracyVSAvoidtime and efforts to create travel map information
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The vehicle performs image recognition and collects position information during its normal travel along the rail track. The travel controller automatically captures images of the rail track, identifies其特征, and associates the position information with basic map information in real-time, eliminating the need for time-consuming preliminary manual preparation of complete travel map information.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The vehicle's travel controller autonomously performs image recognition, extracts rail track shape information, and updates the travel map information using its own imaging device and position information reader during normal operation. This self-service mechanism eliminates the need for external manual intervention in creating and updating travel map information.

Inventive Principle:
Principle #25Self-service

2Reliability

If travel map information is prepared in advance with complete position information association, then the vehicle can navigate accurately, but the system lacks flexibility when changes are made to the travel paths

Engineering Contradiction:
Improvenavigation accuracyVSAvoidadaptability to path changes
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The travel map information is dynamically updated during the vehicle's operation. When the vehicle encounters changes in the rail track or travel path, the image recognition system automatically detects these changes and updates the travel map information in real-time, making the system adaptable to path changes without requiring complete re-preparation of travel map information.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The vehicle continuously captures images and position information during travel, compares them with the stored basic map information, and automatically updates the travel map information based on this feedback. This closed-loop feedback mechanism ensures the system maintains navigation accuracy while adapting to changes in the travel path.

Inventive Principle:
Principle #23Feedback

3Ease of manufacture

If the vehicle travels without complete travel map information using image recognition, then the work to create and update travel map information is simplified, but the vehicle needs to determine rail track shapes during travel

Engineering Contradiction:
Improveease of creating travel map informationVSAvoidcomplexity of real-time image recognition and shape determination
Core Design Contradiction:
Ease of manufactureVSDevice complexity

Solution Approach 1:

The manual mechanical process of preparing and updating travel map information is replaced by an automated optical system. The imaging device captures images of the rail track, and the image recognition algorithm automatically extracts shape information, substituting the complex manual work with automated optical-mechanical processing.

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

Solution Approach 2:

The image recognition algorithm acts as an intermediary between the imaging device and the travel controller. It processes the captured images, extracts rail track shape information, and provides this information to the travel controller, simplifying the overall system architecture while enabling automatic travel map creation and updates.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS11114323B2Vehicle
Publication Date: 2021.09.07 DAIFUKU CO LTD
  • US11114323B2 patent drawing
  • US11114323B2 patent drawing
  • US11114323B2 patent drawing

AI summary

A vehicle includes one or more travel portions each configured to travel along a rail track, a travel controller configured to perform an image recognition to determine a shape of a portion of the rail track based on an image captured by an imaging device supported by the vehicle and to control the one or more travel portions based on a result of the image recognition, an information obtaining portion configured to obtain position information of each of a plurality of locations that the vehicle travels past as a result of traveling along the rail track, and to obtain the order in which the vehicle travels past such plurality of locations, and memory configured to store information obtained by the information obtaining portion.