Observer Vehicle V2X Malfunction Reporting via Vector Identification
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Solution Overview
Problem
Current technologies fail to effectively detect and report vehicle module malfunctions, such as malfunctioning lights or misaligned components, to the vehicle or its stakeholders, especially when the observer and vehicle are unaware of each other's existence and lack prior connection.
Innovation Solution
An observer vehicle uses perception devices to detect operating conditions of nearby vehicles, generates a message indicating any malfunctions, and sends it via V2X communication, identifying the vehicle through a communication identifier computed from perception and V2X vectors, allowing the vehicle to aggregate and validate messages from multiple observers using a diagnostic module.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If an observer vehicle uses perception devices to detect operating conditions of nearby vehicles and sends messages via V2X communication, then remote observation and reporting of vehicle malfunctions is improved, but the ability to identify and communicate with the specific observed vehicle is worsened when the observer and vehicle are unaware of each other's existence
Solution Approach 1:
The system performs preliminary actions by continuously broadcasting V2X messages containing vehicle identification information (such as vehicle vectors with position, speed, and identifier) before the actual malfunction detection and reporting occurs. This allows the observer vehicle to have the target vehicle's identification information readily available when a malfunction is detected, eliminating the need for real-time identification.
Solution Approach 2:
The system uses feedback mechanisms where the observed vehicle continuously transmits its identification information through V2X communication, and the observer vehicle receives and stores this information. When a malfunction is detected, the observer refers back to this previously received identification information to correctly address the malfunction report to the appropriate vehicle.
2Measurement precision
If multiple observer vehicles report malfunctions to a single observed vehicle, then the accuracy and trustability of malfunction detection is improved, but the complexity of aggregating and validating multiple messages is worsened
Solution Approach 1:
The system merges multiple malfunction reports from different observer vehicles by aggregating their messages. The observed vehicle collects these messages and combines the information, allowing for cross-validation of detected malfunctions. If multiple observers report the same malfunction, the detection precision and trustability are significantly improved.
Solution Approach 2:
The observed vehicle performs self-service by automatically validating received malfunction reports against its own sensor data and diagnostic module outputs. The system autonomously determines which external observations are valid and which to reject, eliminating the need for complex external validation infrastructure.
3Reliability
If the vehicle validates messages from multiple observers using a diagnostic module, then the trustability of the synthesized information is improved, but the processing time and computational load are worsened
Solution Approach 1:
The system applies partial validation by not requiring complete verification of all message aspects. Instead of fully validating every detail of each observer's report, the system performs selective validation focusing on critical elements such as whether the reported malfunction aligns with basic vehicle sensor readings, allowing faster processing while maintaining adequate trustability.
Data Source
AI summary
According to one or more examples, a system includes an observer vehicle, and a vehicle in a predetermined vicinity of the observer vehicle. The observer vehicle detects an operating condition of the vehicle using one or more perception devices. The observer vehicle determines that the operating condition does not satisfy a predetermined norm. The observer vehicle generates a message indicating the operating condition of the vehicle. The observer vehicle identifies a communication identifier of the vehicle. The observer vehicle sends the message to be received by the vehicle using the communication identifier via a vehicle to everything (V2X) communication module.