V2X Object Prioritization for Network-Efficient Surroundings Modeling
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Solution Overview
Problem
Existing vehicle-to-X communication systems lack efficient methods to prioritize and filter relevant objects for improved surroundings modeling, leading to potential hazards and network overload.
Innovation Solution
A method and evaluation unit that calculates an object transfer priority based on multiple criteria, including movement parameters and object properties, to determine relevance and generate messages only for high-priority objects, reducing network load while enhancing surroundings modeling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all detected objects are included in V2X messages, then the completeness of surroundings information is improved, but the network load and message size increase significantly
Solution Approach 1:
The patent extracts and transmits only the most relevant object information based on calculated priority values. The evaluation unit determines which objects meet a relevance threshold and includes only those in V2X messages, rather than transmitting all detected objects. This selective extraction reduces message size and network load while maintaining essential surroundings information.
Solution Approach 2:
The patent applies different quality levels of information transmission based on object relevance. High-priority objects (those meeting the threshold) receive detailed transmission, while low-priority objects are excluded. This creates a quality gradient in information transmission, optimizing network usage by allocating bandwidth preferentially to critical objects.
2Measurement precision
If multiple threshold value comparisons are performed for each object property, then the accuracy of relevance determination is improved, but the computational complexity increases
Solution Approach 1:
The patent combines multiple object properties (motion characteristics, object type, distance, relative position) into a single integrated relevance value through a unified evaluation function. Instead of performing separate threshold comparisons for each property, the system merges these properties into one composite metric that is compared against a single threshold, reducing computational steps while maintaining comprehensive assessment.
Solution Approach 2:
The patent transforms multiple individual object parameters into a single relevance value through a mathematical evaluation function. This parameter transformation converts complex multi-dimensional object characteristics into a one-dimensional relevance metric, simplifying the decision process while preserving the essential information needed for accurate relevance determination.
Data Source
AI summary
A method for providing an object message about an object, recognized in surroundings of a road user, in a communication network for communicating with other road users. The road user includes a sensor system for detecting the surroundings and an evaluation unit for evaluating sensor data generated by the sensor system and transferring object messages via the communication network. The method includes: receiving sensor data, generated by the sensor system, in the evaluation unit; recognizing at least one object in the surroundings of the road user based on the sensor data, a movement parameter and a further object parameter being ascertained; calculating an object transfer priority; determining, based on the object transfer priority, whether the recognized object is to be included in an object message; and, if so, generating the object message including the recognized object, and sending the object message via the wireless communication network.