Vehicle Data Collection Guidance for Update Model Verification

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing image data collection methods for autonomous vehicle updates are inefficient, failing to comprehensively gather data under various driving conditions, leading to insufficient verification and analysis, which compromises driving safety.

Innovation Solution

A vehicle information collection system that actively collects update data by setting predetermined conditions, guiding vehicles to specific locations, and acquiring image data under those conditions to ensure thorough verification and analysis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If passive image data collection method is used (waiting for external events), then the system complexity is reduced, but the productivity of data collection deteriorates due to low efficiency

Engineering Contradiction:
Improvecollection system complexityVSAvoiddata collection efficiency
Core Design Contradiction:
Device complexityVSProductivity

Solution Approach 1:

The system pre-defines multiple collection conditions (weather conditions, time periods, locations, driving states) before actual data collection occurs. The control unit checks these predetermined conditions and actively triggers data collection when conditions are met, rather than waiting passively for events to occur naturally.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The data collection system dynamically adjusts its operation based on real-time environmental conditions. The control unit continuously monitors weather, time, location, and driving state, and adaptively activates or deactivates data collection functions based on whether predefined conditions are satisfied, making the system responsive and efficient.

Inventive Principle:
Principle #15Dynamics

2Reliability

If comprehensive data collection under various driving conditions is implemented, then the reliability of verification and analysis is improved, but the loss of time increases due to enormous collection time required

Engineering Contradiction:
Improveverification and analysis reliabilityVSAvoiddata collection time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system pre-defines multiple collection conditions (weather conditions, time periods, locations, driving states) before actual data collection occurs. The control unit checks these predetermined conditions and actively triggers data collection when conditions are met, rather than waiting passively for events to occur naturally.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements periodic data collection based on predefined time periods and conditions rather than continuous collection. The control unit checks conditions at regular intervals and triggers collection only when specific conditions are met, reducing overall collection time while ensuring comprehensive coverage of various driving scenarios.

Inventive Principle:
Principle #19Periodic action

3Ease of operation

If image data collection focuses on easy-to-shoot scenes, then the ease of operation is improved, but the measurement precision of diverse driving conditions deteriorates

Engineering Contradiction:
Improvedata collection easeVSAvoiddiverse driving conditions coverage
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The data collection system dynamically adjusts its operation based on real-time environmental conditions. The control unit continuously monitors weather, time, location, and driving state, and adaptively activates or deactivates data collection functions based on whether predefined conditions are satisfied, making the system responsive and efficient.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes collection parameters (weather conditions, time periods, locations, driving states) to cover diverse driving scenarios. By predefined multiple different conditions and actively triggering collection under each, the system ensures comprehensive coverage of various driving environments while maintaining operational simplicity through automated condition checking.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentEP4708245A1Vehicle information collection system
Publication Date: 2026.03.11 ASTEMO LTD
  • EP4708245A1 patent drawingFigure 1
  • EP4708245A1 patent drawingFigure 2
  • EP4708245A1 patent drawingFigure 3

AI summary

A vehicle information collection system includes a collection condition acquisition unit (201) acquiring conditions for verifying an update model, an external environment acquisition unit (202) acquiring external travelling environmental information, a verification location setting unit (203) setting, as a destination, a verification location on the basis of respective information of the external environment acquisition unit (202) and the collection condition acquisition unit (201), a notification unit (204) notifying a vehicle operator of the verification location, a response receiving unit (205) receiving operator's response of permission for or refusal of movement to the verification location, and a guidance control unit (206) guiding a vehicle to the verification location according to the response of the permission and information on the verification location. In verification of the update model, various driving conditions (various travel conditions) to ensure driving safety can be exhaustively or comprehensively verified.