Vehicle Control System Selective State Extraction

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Solution Overview

Problem

Existing vehicle control systems face increased data storage capacity and processing load issues due to storing various sensor information and collision risk levels without specific conditions, leading to higher manufacturing costs and inefficiencies.

Innovation Solution

A vehicle control system that includes a state detection unit, travel controller, and state extraction unit to detect and extract time-series information only when specific conditions are met, reducing communication capacity and processing load by transmitting relevant state information selectively.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If all sensor information and collision risk levels are stored in time series without specific conditions, then complete learning data is obtained, but data storage capacity and processing load increase

Engineering Contradiction:

Improvecompleteness of learning dataVSAvoiddata storage capacity

Core Design Contradiction:

ReliabilityVSQuantity of substance

Solution Approach 1:

The patent extracts only specific state information that satisfies predetermined extraction conditions from the full set of sensor data. The state extraction unit identifies and extracts relevant states (such as critical traffic scenes, collision risks, or specific operational conditions) while discarding redundant information, thereby reducing data storage requirements while maintaining learning effectiveness.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent applies different quality standards to different portions of data by using extraction conditions. Instead of uniformly storing all data with the same detail level, the system selectively extracts states based on their importance or relevance to learning objectives, creating a non-uniform data structure that optimizes storage efficiency.

Inventive Principle:

Principle #3Local quality

2Reliability

If all sensor information is processed and stored without conditions, then comprehensive learning data is available, but processing load increases

Engineering Contradiction:

Improvecompleteness of learning dataVSAvoidprocessing load

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The state extraction unit actively filters and extracts only those states that meet predetermined extraction conditions, avoiding the processing and storage of irrelevant data. This selective extraction significantly reduces the processing load on both the vehicle's onboard systems and external servers while ensuring that critical learning data is captured.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system performs preliminary filtering of sensor data at the source (in the vehicle) before transmission or storage. By applying extraction conditions in advance and identifying relevant states upfront, the system avoids the need to process and analyze all raw sensor data later, thereby reducing overall processing requirements.

Inventive Principle:

Principle #10Preliminary action

3Reliability

If transmission of all state information is performed without conditions, then complete traffic scene data is transmitted, but communication capacity requirements increase

Engineering Contradiction:

Improvecompleteness of transmitted dataVSAvoidcommunication capacity

Core Design Contradiction:

ReliabilityVSQuantity of substance

Solution Approach 1:

The communication controller uses extraction conditions to identify and transmit only relevant state information that satisfies predetermined criteria. This selective transmission approach ensures that critical traffic scene data is communicated to external devices while minimizing unnecessary data transmission, thereby reducing communication bandwidth requirements.

Inventive Principle:

Principle #2Taking out (Extraction)

4Productivity

If selective extraction of state information is performed, then communication capacity and processing load are reduced, but data completeness may be compromised

Engineering Contradiction:

Improvedata handling efficiencyVSAvoidcompleteness of learning data

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system employs feedback mechanisms where extraction conditions are continuously evaluated against actual traffic scenes and learning outcomes. This allows the extraction criteria to be optimized over time, ensuring that the selective extraction process captures sufficiently complete and representative learning data while maintaining efficiency benefits.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS10921814B2Vehicle control system and method, and travel assist server

Publication Date: 2021.02.16 HONDA MOTOR CO LTD

AI summary

When a transmission condition regarding a state detected by a state detection unit (vehicle sensor, operation detection sensor, external environment sensor, or internal environment sensor) is satisfied while a travel controller performs a travel control, a vehicle control system transmits attentional state information representing a travel state, an operation state, or an environment state to a travel assist server through a communication device.