V2X Signal Source Identification via Sensor Demodulation
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Solution Overview
Problem
Current V2X communication systems face challenges in accurately allocating V2X messages to their source objects due to insufficient GPS coordinate accuracy, leading to potential misallocation of data from different information sources, especially in multi-vehicle scenarios.
Innovation Solution
A method that involves receiving a V2X signal, performing relative position estimation using environment sensors, demodulating environment signals to ascertain a V2X identifier, and comparing it with the source signal for correlation, allowing accurate identification of the signal source, which can be applied to various sensors like radar, lidar, or camera systems, independent of localization technology.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS coordinates are used for relative position calculation in V2V communication, then the system can determine relative distances between vehicles, but the accuracy is insufficient leading to misallocation of data
Solution Approach 1:
The patent combines V2X communication data with environment sensor data (radar, lidar, camera) to create a unified object identification system. By merging multiple information sources including signal demodulation results and sensor detections, the system achieves more accurate object identification than GPS alone could provide.
Solution Approach 2:
The patent introduces an intermediary identification process that acts as a mediator between V2X signals and environment sensor data. This intermediary step involves demodulating V2X signals to extract identifiers and comparing them with sensor-detected objects, thereby accurately linking communication data with physical objects despite GPS inaccuracies.
2Productivity
If V2V communication data is allocated based on GPS position calculation, then data exchange between vehicles is enabled, but misallocation occurs when multiple V2V partners are involved
Solution Approach 1:
The patent segments the object identification process into distinct steps: receiving V2X signals, demodulating to extract identifiers, detecting objects with environment sensors, and matching identifiers with detected objects. This segmentation allows systematic handling of multiple V2V partners by processing each signal-object pair independently through the same identification pipeline.
Solution Approach 2:
The patent uses V2X signal identifiers as unique 'color codes' or signatures for each transmitting vehicle. By demodulating these signals and comparing identifiers with detected objects, the system can distinguish between multiple V2V partners uniquely, similar to how different colors differentiate objects, ensuring correct data allocation even in complex multi-vehicle scenarios.
3Loss of information
If environment sensor data is associated with V2V communication objects, then environment models can be enhanced, but accurate correlation requires comparing relative positions which is difficult with GPS limitations
Solution Approach 1:
The patent replaces the GPS-based mechanical coordinate system with a sensor-based detection and identification system. Instead of relying on GPS position calculations, the system uses environment sensors to directly detect objects and correlates them with V2X signals through identifier matching, thereby achieving accurate information integration without GPS precision limitations.
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
Enables error-free allocation of V2X messages to their source objects, differentiating between emitting and non-emitting objects, and is suitable for cooperative localization methods where precise position knowledge is lacking, ensuring accurate data correlation across vehicles and infrastructure.
Implementation Method 1
the object modulating the environment signals at least with a part of a V2X signal of the object; receiving the modulated environment signals by the environment sensor system of the first vehicle, and demodulating the received environment signals
Data Source
AI summary
A method for identifying an object as the source of a V2X signal. The method includes: receiving a V2X signal from a source by a receiver of a first vehicle; performing a relative position estimation using an environment sensor system of the first vehicle, an object from the surroundings of the first vehicle being detected, and a relative position between the first vehicle and the object being determined, the environment sensor system receiving environment signals of the object, and the object modulating the environment signals at least with a part of a V2X signal of the object; receiving the modulated environment signals by the environment sensor system of the first vehicle, and demodulating the received environment signals by the first vehicle, and ascertaining a V2X identifier of the object; comparing the V2X identifier of the object with the V2X signal of the source.