Vehicle Tracking via Movement Data Association
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Solution Overview
Problem
In vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication systems, the change in identification information for privacy protection can lead to misidentification of vehicles, affecting the accuracy of data association and vehicle control.
Innovation Solution
An electronic device that receives and processes identification information from multiple vehicles, identifies changes in identification data based on movement data, and associates new identification information with prior data to maintain accurate vehicle tracking and control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If identification information is changed for privacy protection, then privacy protection is improved, but vehicle identification accuracy deteriorates
Solution Approach 1:
The patent introduces movement data (position, speed, direction) as an intermediary element to bridge the gap between changing identification information and maintaining accurate vehicle tracking. When identification information changes, the system uses movement data as a mediator to associate new identification with the same vehicle, thus preserving both privacy (through ID changes) and identification accuracy (through movement-based association).
Solution Approach 2:
The patent changes the parameter being used for vehicle identification from static identification information to dynamic movement parameters (position, speed, direction). By monitoring changes in movement parameters over time, the system can track vehicles even when their identification information changes, thus resolving the contradiction between privacy protection and identification accuracy.
2Reliability
If identification information is changed frequently, then privacy protection is improved, but data association accuracy deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors movement data and uses it to verify and correct associations between identification information and vehicles. When identification information changes, the feedback loop uses movement data to confirm whether the new identification refers to the same vehicle, thus maintaining data association accuracy despite frequent identification changes.
Solution Approach 2:
Movement data serves as an intermediary that enables accurate data association even when identification information changes frequently. The system uses position, speed, and direction data as intermediate reference points to correctly associate new identification information with the appropriate vehicle, preventing misidentification errors.
3Measurement precision
If movement data is used to track vehicles, then identification accuracy is improved, but system complexity increases
Solution Approach 1:
The patent makes the communication module and processor multi-functional by having them handle both traditional communication tasks and the additional task of collecting and processing movement data for vehicle tracking. This universal approach allows the existing system infrastructure to serve multiple purposes, improving identification accuracy without proportionally increasing system complexity.
Solution Approach 2:
The system uses the movement data that vehicles naturally generate and transmit for communication purposes to also serve the function of vehicle tracking and identification. Rather than requiring separate dedicated tracking systems, the patent enables the communication system itself to provide identification services through the movement data already being exchanged, thus improving accuracy without significant complexity increase.
Data Source
AI summary
According to an embodiment, an electronic device may include a communication module and a processor configured to receive, from one or more first external vehicles through the communication module, one or more pieces of first identification information and first data related to movement of the one or more first external vehicles, receive, from one or more second external vehicles through the communication module, one or more pieces of second identification information and second data related to movement of the one or more second external vehicles a designated time period after receiving the first identification information and the first data, identify at least one piece of non-received identification information among the one or more pieces of first identification information, which is not included in the one or more pieces of second identification information, and at least one piece of newly received identification information among the one or more pieces of second identification information, which is not included in the first identification information, identify an external vehicle of which identification information is changed, the external vehicle corresponding to the at least one piece of non-received identification information, and the identifying is based on, at least, data corresponding to the at least one piece of newly received identification information among the second data and data corresponding to the at least one piece of non-received identification information among the first data, and associate data corresponding to the external vehicle of which identification information is changed among the first data and data corresponding to the external vehicle of which identification information is changed among the second data as data related to the movement of the external vehicle of which identification information is changed.