V2X Vehicle Warning Using Position and Size-Based Risk Areas

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Solution Overview

Problem

Existing vehicle warning systems in intelligent transportation systems rely on map data for collision risk assessment, which can lead to misjudgment due to map precision issues and vehicle behaviors like lane infringement or lane-riding, affecting recognition accuracy.

Innovation Solution

A vehicle warning method using V2X technology that determines a warning area based on the position and size of a vehicle, allowing for collision risk analysis without relying on map data, by defining areas such as blind spots, collision zones, and intersection assist areas using vehicle-specific parameters like length, width, and orientation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If map data is used for collision risk assessment, then the system can provide comprehensive spatial context, but recognition accuracy deteriorates due to map precision issues and vehicle behaviors like lane infringement

Engineering Contradiction:
Improverecognition accuracyVSAvoidmap precision
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The patent extracts the collision risk assessment function from map-dependent processing and implements it directly on the vehicle side using real-time V2X message data. By taking out the reliance on map data and performing spatial analysis locally based on exchanged position and dimension information, the system achieves more accurate and timely collision risk detection without map precision limitations

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent introduces V2X messages as an intermediary mechanism that enables direct vehicle-to-vehicle communication of position, dimension, and motion data. This intermediary allows vehicles to share spatial information directly without relying on map infrastructure, enabling accurate collision risk assessment through peer-to-peer data exchange

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If map-based lane recognition is used, then the system can identify vehicle positions relative to lanes, but misjudgment occurs due to lane infringement and lane-riding behaviors

Engineering Contradiction:
Improvecollision risk assessment accuracyVSAvoidhandling of lane infringement behaviors
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

Instead of determining whether vehicles are in the same lane based on map data (traditional approach), the patent inverts the logic by directly calculating whether vehicles are in collision risk areas based on their relative positions and dimensions. This inversion eliminates the intermediate step of lane recognition that causes misjudgment during lane infringement

Inventive Principle:
Principle #13The other way round (Inversion)

Solution Approach 2:

The patent changes the assessment parameters from lane-based categorical data to continuous spatial coordinates and vehicle dimensions. By using precise position coordinates and vehicle size parameters directly in collision risk calculations, the system adapts to various driving behaviors including lane infringement without relying on rigid lane boundaries

Inventive Principle:
Principle #35Parameter changes

3Reliability

If V2X technology is used for direct vehicle communication, then recognition accuracy improves by avoiding map dependency, but device complexity increases due to real-time data processing requirements

Engineering Contradiction:
Improverecognition accuracyVSAvoidprocessing complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the collision risk assessment process into distinct functional modules: receiving V2X messages, extracting position and dimension data, calculating relative positions, determining collision risk areas, and generating warnings. This segmentation allows each module to be optimized independently and simplifies the overall processing complexity while maintaining high recognition accuracy

Inventive Principle:
Principle #1Segmentation

Data Source

PatentEP3869470B1Vehicle early warning method and related apparatus
Publication Date: 2023.08.23 HUAWEI CLOUD COMPUTING TECHNOLOGIES CO LTD
  • EP3869470B1 patent drawingFigure 1A~1B
  • EP3869470B1 patent drawingFigure 2
  • EP3869470B1 patent drawingFigure 3

AI summary

Embodiments of this application disclose a vehicle warning method, to avoid misjudgment caused by factors such as map precision and lane infringement of a vehicle, thereby improving warning accuracy. The method in the embodiments of this application includes: A vehicle-to-everything V2X device receives a V2X message corresponding to a first vehicle. The V2X device determines, based on the V2X message, that the first vehicle is a dangerous vehicle in a warning area. The warning area is determined based on vehicle information of a second vehicle. The vehicle information includes at least position information of the second vehicle and a vehicle size of the second vehicle. The V2X device outputs warning information corresponding to the second vehicle. The embodiments of this application further disclose a vehicle-mounted device and a server, to improve recognition accuracy.