Connected Vehicle Stalking Detection via Cloud Pattern Analysis
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Solution Overview
Problem
Victims traveling in vehicles often lack effective means to confirm or respond to stalking situations, especially when alone or with strangers, due to unawareness or improper assessment of potential threats.
Innovation Solution
A system and method utilizing connected vehicles and personal devices to detect stalking by analyzing travel patterns and behavioral data through vehicle-to-vehicle communication, sensors, and cloud computing, providing alerts and evasive actions to occupants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a surveillance operation is performed to detect stalking, then the ability to detect stalking is improved, but the device complexity increases
Solution Approach 1:
The patent uses cloud-based servers as intermediaries to process and analyze travel pattern data from multiple vehicles. Instead of requiring complex local processing in each vehicle, the system extracts relevant data (location, route, timing) and transmits it to a centralized cloud system that performs the stalking detection analysis, thereby reducing on-device complexity while maintaining detection capability
Solution Approach 2:
The surveillance system is designed to serve multiple functions: it monitors travel patterns, detects stalking behavior, provides safety alerts, and offers evasive action guidance. By consolidating these functions into a unified system that leverages existing vehicle sensors and cloud computing, the patent achieves multi-functionality without proportionally increasing complexity
2Measurement precision
If travel pattern data is analyzed to detect stalking, then the accuracy of stalking detection is improved, but the loss of information increases
Solution Approach 1:
The system extracts only the necessary travel pattern information (location coordinates, route paths, timing data) from the vehicles' existing sensor systems and transmits this minimal dataset to the cloud for analysis. This selective extraction approach maintains detection accuracy by focusing on relevant behavioral patterns while minimizing the amount of personal information processed and stored
Solution Approach 2:
The cloud-based system provides feedback to the vehicle occupants about potential stalking situations detected through travel pattern analysis. This feedback mechanism allows the system to accurately identify stalking behavior while giving occupants control over their data, as the analysis is performed remotely and results are communicated back to users rather than requiring continuous local processing of sensitive information
Data Source
AI summary
This disclosure is generally directed to detecting stalking of an individual who is traveling in a connected vehicle. In an example method, a first individual traveling in a first connected vehicle may enter into a personal device (a smartphone, for example), a request to perform a surveillance operation. The personal device may respond to the request by communicating with a cloud computer. The personal device and/or the cloud computer may obtain data from a vehicle computer of the first connected vehicle and/or from a vehicle computer of a second connected vehicle and evaluate the data to detect a travel pattern of a second individual traveling in either the first connected vehicle or the second connected vehicle. The travel pattern of the second individual is then evaluated to determine whether the second individual is stalking the first individual. A report of the surveillance procedure may be provided to the first individual.