Vehicle Privacy Data Protection via Location-Based Storage

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Solution Overview

Problem

The rapid growth of automotive data and enhanced data collection capabilities pose significant risks of personal privacy information leakage, particularly in private locations such as homes and hotels, necessitating robust protection measures for vehicle privacy data.

Innovation Solution

A method that determines whether a vehicle is within a predetermined privacy protection range, with data being classified as non-private and uploaded remotely when outside this range, and as private and stored locally when inside, using sensors like GPS, Lidar, and in-vehicle cameras, ensuring sensitive data is not exported or leaked.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If automotive data processors collect and upload all sensing data to remote devices, then data processing capabilities and service functionality are enhanced, but personal privacy information leakage risks increase significantly

Engineering Contradiction:

Improvedata processing capabilityVSAvoidprivacy information leakage risk

Core Design Contradiction:

ProductivityVSObject-affected harmful factors

Solution Approach 1:

The patent applies local quality by implementing location-specific data handling policies. Different storage and transmission rules are applied based on the vehicle's geographic location: in private locations (homes, companies, hotels), data is stored locally and not uploaded, while in public locations, data can be uploaded to remote devices. This resolves the contradiction by making data processing capabilities location-dependent, enhancing privacy protection in sensitive areas while maintaining service functionality in public areas.

Inventive Principle:

Principle #3Local quality

2Adaptability or versatility

If all sensing data is uploaded to remote devices, then cloud-based services and analytics are improved, but data security and user control over private information are compromised

Engineering Contradiction:

Improvecloud service capabilityVSAvoiddata security

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The patent implements dynamic data handling where the upload behavior changes based on real-time location conditions. The system dynamically adjusts between local storage and cloud upload modes according to whether the vehicle is in a private or public location. This resolves the contradiction by making the system adaptable to different security requirements while maintaining cloud service capabilities when appropriate.

Inventive Principle:

Principle #15Dynamics

3Reliability

If privacy protection measures are strengthened by storing all data locally, then data security is improved, but service functionality and data analytics capabilities are reduced

Engineering Contradiction:

Improvedata protection levelVSAvoidservice functionality

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

Inventive Principle:

Principle #3Local quality

4Measurement precision

If the vehicle continuously monitors and classifies locations as private or public, then privacy protection accuracy is improved, but system complexity and computational requirements increase

Engineering Contradiction:

Improveprivacy location identification accuracyVSAvoidlocation classification system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies preliminary action by pre-defining private locations (such as homes, companies, and hotels) before the vehicle arrives. These locations are stored in advance in the vehicle's memory, allowing for quick comparison with real-time GPS data without requiring complex real-time classification algorithms. This resolves the contradiction by simplifying the system complexity while maintaining high accuracy in identifying private locations.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20250094616A1Method for protecting privacy data of vehicle, and vehicle

Publication Date: 2025.03.20 AUTOX INC

AI summary

There is provided with a method for protecting privacy data of a vehicle, including step of: obtaining current sensing data of the vehicle; determining whether a current location of the vehicle is within a predetermined privacy protection locating range; when the current location of the vehicle is not within the predetermined privacy protection locating range, determining the current sensing data to be non-private data and uploading the current sensing data to one or more remote devices of the vehicle; when the current location of the vehicle is within the predetermined privacy protection locating range, determining the current sensing data to be private data and only saving the current sensing data to a local device of the vehicle.