V2X Sensor Data Screening for Misbehaving Vehicle Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing solutions fail to identify misbehaving endpoints that repeatedly transmit inaccurate sensor data via V2X communications and do not modify the operation of ego vehicle's ADAS or autonomous driving systems to ignore such data, potentially creating safety hazards.
Innovation Solution
A modification system installed in an ego vehicle's electronic control unit that analyzes Received Signal Strength (RSS) data and sensor data from V2X messages to determine if a remote vehicle is misbehaving, and if so, modifies the ADAS or autonomous driving system to ignore future sensor data from that vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If V2X communications are used to share sensor data between vehicles, then the awareness of the operating environment is improved, but the reliability of the sensor data cannot be guaranteed and safety hazards may occur
Solution Approach 1:
The system implements a feedback mechanism by comparing the reported range data from V2X messages with independently calculated range data derived from RSSI measurements. This feedback loop enables the system to detect inconsistencies and identify misbehaving endpoints, thereby maintaining data reliability while preserving environmental awareness benefits
Solution Approach 2:
The system introduces an intermediary verification layer that acts as a mediator between receiving V2X sensor data and using it for autonomous driving decisions. This intermediary component validates the authenticity of sensor data by cross-checking with RSSI-based range calculations, preventing unreliable data from compromising system reliability
2Device complexity
If existing solutions are used to handle V2X sensor data, then processing is simplified, but misbehving endpoints cannot be identified and inaccurate data is not mitigated
Solution Approach 1:
The system applies partial verification by selectively validating data from specific endpoints based on RSSI consistency checks. Rather than verifying all data equally or rejecting all V2X communications, the system performs targeted verification on suspicious data points, balancing processing complexity with safety hazard prevention
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Effectively identifies and mitigates the impact of inaccurate sensor data from misbehaving endpoints, ensuring the safety and reliability of ADAS and autonomous driving systems by preventing the use of false information.
Implementation Method 1
each received BSM has a Received Signal Strength (RSS) that is measurable by the modification system of the ego vehicle
Data Source
AI summary
The disclosure describes embodiments for modifying a vehicle component of an ego vehicle based on ranging and misbehavior information determined from digital data included in a Vehicle-to-Everything (V2X) message. In some embodiments, a method includes generating Received Signal Strength (RSS) data describing an RSS value for the V2X message which is originated by a remote vehicle. The method includes determining range data corresponding to the RSS value describing a first range from the ego vehicle to the remote vehicle. The method includes determining that the remote vehicle is providing inaccurate sensor data (an example of misbehavior information) by comparing the first range to a second range which is described by the sensor data which is extracted from the V2X message. The method includes modifying an operation of the vehicle component so that the vehicle component does not consider the sensor data that is provided by the remote vehicle.