Vehicle Risk Warning Verification Using Onboard Object Detection
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Solution Overview
Problem
Vehicular ad-hoc networks (VANETs) are vulnerable to Sybil attacks that generate false V2V information, leading to unreliable risk warnings and compromising driving safety.
Innovation Solution
A vehicle-mounted electronic device with a processor and communication circuit unit verifies risk warnings using object detection operations and predefined conditions to determine trustworthiness, adjusting driving behavior only when warnings are confirmed trustworthy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If risk warnings are continuously verified through object detection operations, then reliability of risk warnings is improved, but resource consumption increases
Solution Approach 1:
The system performs object detection operations periodically or selectively rather than continuously. Specifically, object detection is triggered only when risk warning information is received from the inter-vehicle network, creating a periodic verification mechanism that balances reliability with resource conservation.
Solution Approach 2:
The system performs preliminary verification by checking whether detected objects match the risk warning information before taking action. This preliminary object detection and comparison step filters out false warnings early, ensuring reliability while avoiding unnecessary continuous monitoring.
2Measurement precision
If object detection operations are performed continuously to verify risk warnings, then measurement precision of risk assessment is improved, but productivity decreases
Solution Approach 1:
Object detection is executed periodically based on receipt of risk warning messages rather than continuously. This periodic verification maintains measurement precision for risk assessment while preserving driving productivity by minimizing interruptions to normal driving operations.
Solution Approach 2:
The system uses the vehicle's existing advanced driver assistance system (ADAS) object detection capabilities to verify risk warnings, rather than implementing a separate continuous monitoring system. This self-service approach leverages available resources efficiently, maintaining precision without sacrificing productivity.
3Speed
If false risk warnings are not filtered out, then response time to actual risks is improved, but reliability deteriorates
Solution Approach 1:
The system performs preliminary verification of risk warnings by comparing received risk information against actual object detection results before triggering driver responses. This preliminary check filters false warnings while maintaining rapid response to genuine risks, as verification occurs in the brief interval between warning receipt and driver action.
Solution Approach 2:
The system uses feedback from object detection operations to validate or reject risk warnings. By comparing detected objects with warned-about objects, the system provides feedback that confirms or refutes the authenticity of risk warnings, ensuring reliability without significantly delaying response to confirmed genuine risks.
Data Source
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AI summary
A method of identifying a false risk warning for an inter-vehicle network(400) includes: in response to obtaining a first risk warning(WD1) based on the inter-vehicle network(400), determining whether a second risk warning(WD2) corresponding to the first risk warning(WD1) based on an object detection operation is obtained; in response to determining that the second risk warning(WD2) is obtained, determining that the first risk warning(WD1) is trustworthy; in response to determining that the second risk warning(WD2) is not obtained, determining whether the first risk warning(WD1) is trustworthy based on the object detection operation; in response to determining that the first risk warning(WD1) is trustworthy, adjusting a driving behavior according to the first risk warning(WD 1) or the second risk warning(WD2); and ignoring the first risk warning(WD1) in response to determining that the first risk warning(WD 1) is not trustworthy.