Mobile Object Authenticity Verification Using Estimation Error Analysis
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Solution Overview
Problem
Current high-speed driving support and automobile driving systems face instability and reliability issues due to the modification or falsification of driving records, often identifying simulators or spoofed devices as actual vehicles, leading to inaccurate traffic management and reduced system stability.
Innovation Solution
A method and system that determine the authenticity of mobile objects by analyzing sensor information, specifically using position data and estimation errors, to differentiate between real and spoofed vehicles, thereby improving system reliability without requiring additional apparatuses or objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system accepts position information from mobile objects without verification, then the system operation is simple and fast, but the reliability and stability of the system deteriorates due to spoofing and falsification
Solution Approach 1:
The patent replaces complex hardware verification systems with a software-based estimation error analysis system. Instead of using additional sensors or verification devices, the system uses computational methods to analyze the consistency of position information with map data, substituting physical verification mechanisms with information processing approaches.
Solution Approach 2:
The system uses the existing position information and map data that are already available in the traffic management system to perform self-verification. The estimation error calculation leverages the system's own resources (position data, map information) without requiring external verification systems, allowing the system to verify its own data integrity.
2Measurement precision
If additional verification apparatuses are introduced to detect spoofed vehicles, then the measurement precision of vehicle authenticity improves, but the device complexity and operational cost increases
Solution Approach 1:
The patent introduces map data as an intermediary element to verify the authenticity of position information. Instead of directly comparing position data from multiple sources or using complex verification devices, the system uses the static, trusted map database as a reference to indirectly verify whether reported positions are plausible, acting as a mediator between the mobile object's claims and system acceptance.
Solution Approach 2:
The system creates a virtual model of expected position information by matching reported positions against map data. This copying approach generates an estimated position based on map coordinates and compares it with the reported position, using the map as a template to verify authenticity without requiring physical verification copies or additional sensing apparatus.
3Productivity
If the system processes and manages all received position information without filtering, then the productivity of traffic management is maintained, but the stability deteriorates due to inclusion of spoofed data
Solution Approach 1:
The patent performs preliminary verification of position information by calculating estimation errors against map data before the spoofed data can affect traffic management operations. This advance checking mechanism filters out inconsistent position information proactively, preventing unstable data from entering the traffic management processing pipeline and maintaining system stability without reducing productivity.
Solution Approach 2:
The system extracts and removes suspicious position information by identifying data with excessive estimation errors. Instead of processing all received position data, the system separates authentic data from spoofed data by extracting the inconsistent portions based on estimation error thresholds, thereby maintaining productivity with clean data while eliminating the destabilizing effect of spoofed information.
Data Source
AI summary
An embodiment of the invention may include a method, computer program product and computer system for managing mobile objects. The embodiment may manage, by a first computing system, a plurality of mobile objects moving within a geographic space. Managing the plurality of mobile objects may assisting with movement of the plurality of mobile objects. The embodiment may determine whether a first mobile object among the plurality of mobile objects is a real mobile object based on a first sensor information received from the first mobile object. The embodiment may use information received from the first mobile object in managing the plurality of mobile objects moving within the geographic space based on determining that the first mobile object is the real mobile object.