V2P Data Association for Precise Pedestrian Positioning
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Solution Overview
Problem
Existing wireless communication systems struggle to accurately determine the location of pedestrians and effectively prevent collisions between vehicles and pedestrians, particularly in dynamic and complex environments.
Innovation Solution
Implementing vehicle-to-pedestrian (V2P) communication and data association techniques using V2X devices to associate data from multiple sources, enabling precise pedestrian location determination and collision avoidance through sidelink messaging and warning systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional wireless communication systems are used for pedestrian detection, then the system complexity is reduced, but the measurement precision of pedestrian location is insufficient
Solution Approach 1:
The patent combines multiple data sources including sensor data from vehicles, communication data from pedestrians' mobile devices, and information from infrastructure elements to determine pedestrian location. This merging of diverse data types through the V2X communication system enables more accurate pedestrian location determination than traditional single-source methods while distributing the system complexity across multiple coordinated components.
Solution Approach 2:
The patent introduces communication elements as intermediaries between vehicles and pedestrians to facilitate data exchange. These communication elements enable the transmission of location data, sensor information, and warning messages without requiring direct physical connection between vehicles and pedestrians, thereby improving measurement precision while managing system complexity through standardized communication protocols.
2Reliability
If direct vehicle-to-pedestrian communication is implemented, then the response time for collision avoidance is reduced, but the reliability of data association is challenged
Solution Approach 1:
The patent performs preliminary actions by pre-establishing communication channels between vehicles and pedestrians, pre-configuring data association rules, and pre-processing sensor data formats. This preparation enables rapid response during actual collision avoidance scenarios while maintaining high reliability through predetermined protocols and validation mechanisms that ensure correct data association before critical moments.
Solution Approach 2:
The patent implements feedback mechanisms where vehicles receive pedestrian location data and communication status information, process this information to determine collision risk, and send warning messages back to pedestrians. This bidirectional feedback loop continuously validates data association reliability while maintaining fast response times through efficient processing of standardized communication protocols.
3Measurement precision
If multiple data sources are integrated for pedestrian detection, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The patent segments the data processing task by dividing responsibilities among different system components: vehicles collect and process their own sensor data, pedestrians provide location information through their mobile devices, and infrastructure elements contribute additional data. This segmentation allows each component to process only its designated data type, reducing individual processing complexity while achieving high overall measurement precision through integrated results.
Solution Approach 2:
The patent creates a universal V2X communication system that handles multiple data types and sources through a single standardized interface. The communication protocol is designed to universally accommodate various data formats from different sources (sensor data, location information, communication status), enabling precise pedestrian location estimation through multi-source integration without requiring complex proprietary processing for each data type.
Data Source
AI summary
Various aspects relate to vehicle-to-pedestrian (V2P) communication and collision avoidance using data association of data from different vehicle-to-everything (V2X) devices. In some aspects, a V2X device (e.g., a vehicle) can determine or estimate the location of a pedestrian by associating data pertaining to the pedestrian from multiple V2X devices and sensors. The association of data can reduce the uncertainties of the V2X device in the determination of the pedestrian's location. A vehicle V2X device can send out a warning indication or alert to the pedestrian or a V2X device of the pedestrian.