Autonomous Vehicle Positioning for Misbehavior Detection
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Solution Overview
Problem
Vehicle-to-vehicle communication systems are vulnerable to spurious messages and misbehavior nodes that transmit misleading information, leading to traffic disruptions and potential collisions, as existing systems lack effective methods to accurately identify and mitigate such malicious behavior.
Innovation Solution
A positioning system that estimates the location of a remote vehicle using a single receiver and signal characteristics like time-of-flight, angle-of-arrival, and received signal strength, allowing for the identification of misbehaving nodes by determining the mobility of the broadcasting entity and enhancing communication security and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If V2V communication systems transmit periodic beacon messages with environmental awareness conditions, then vehicles can forewarn drivers of safety conditions and traffic events, but the system becomes vulnerable to spurious messages and misbehavior nodes that transmit misleading information
Solution Approach 1:
The patent introduces an intermediary positioning system that acts as a mediator between the V2V communication system and the vehicles. This positioning system independently determines the actual positions of transmitting vehicles and compares them with the positions reported in the beacon messages. The intermediary positioning verification mechanism detects discrepancies without requiring changes to the original V2V message structure, thereby maintaining message authenticity while filtering out misleading information from misbehavior nodes.
2Measurement precision
If the system uses multiple reference vehicles with receivers to determine position of a remote vehicle, then position accuracy improves, but device complexity and system cost increase
Solution Approach 1:
The patent makes the host vehicle universal by enabling it to perform multiple functions: it serves as both a transmitting vehicle (broadcasting beacon messages) and a reference vehicle (with its position and signal characteristics used for positioning verification). This multi-functionality eliminates the need for dedicated reference vehicles, reducing system complexity while maintaining position accuracy through the use of the host vehicle's own receiver and position data.
Solution Approach 2:
The system employs self-service by using the host vehicle's own position information, received signal strength, and signal characteristics to verify the authenticity of beacon messages. Instead of requiring external reference vehicles, the host vehicle independently performs positioning verification using its own measurements and data, thereby simplifying the overall system architecture while maintaining measurement precision.
3Reliability
If the system verifies position of every transmitting vehicle to identify misbehavior, then communication security improves, but processing time and computational load increase
Solution Approach 1:
The patent changes the verification parameters by using signal strength (RSSI) and signal characteristics in addition to position data. Instead of performing complex real-time position calculations for every message, the system uses the received signal strength and known position relationships to quickly assess message authenticity. This parameter change enables faster verification while maintaining communication security, as discrepancies in signal characteristics can quickly identify misbehavior nodes without requiring extensive computational analysis of each message.
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
The system effectively increases position accuracy and strengthens communication security by reliably identifying spurious messages and misbehaving nodes, thereby improving road safety and reducing the risk of traffic disruptions and collisions.
Implementation Method 1
This invention utilizes a periodic re-broadcasting of a transmitted signal and certain characteristics of the signal, for example time-of-flight, angle-of-arrival, and received signal strength at the receiver side of the host vehicle for estimating a location of the transmitter of the remote vehicle. For the purpose of illustration, a time-of-flight based approach; more specifically a time-difference-of-arrival of signal at the receiver side has been utilized
Implementation Method 2
The positioning system can also utilize other signal reception properties, for example the angle-of-arrival (also known as the direction-of-arrival) or strength of the received signal at various reference positions of the receiver of the host vehicle in order to locate the transmitter of the remote vehicle
Implementation Method 3
This invention utilizes a periodic re-broadcasting of a transmitted signal and certain characteristics of the signal, for example time-of-flight, angle-of-arrival, and received signal strength at the receiver side of the host vehicle for estimating a location of the transmitter of the remote vehicle
Data Source
AI summary
An autonomous vehicle positioning system for determining a position of a remote vehicle relative to a mobile host vehicle based on safety alert messages broadcast from the remote vehicle relating to an event in a road of travel. A host vehicle communication unit communicates with the remote vehicle for receiving the broadcast messages from the remote vehicle. A host vehicle control unit identifies reference points along the road of travel. Each reference point identifies a position of the host vehicle and associated signal reception properties, for example time-of-arrival, angle-of-arrival and received signal strength when the host vehicle receives the broadcast message. The control unit of the host vehicle selects a set of the reference points having identified positions and associated times, angles and signal strength. The control unit determines a position of the remote vehicle as a function of the time difference-of-arrival, angle-of-arrival or received signal strength between each selected reference point in the set.