ITS Station CPM Transmission for Object Behavior Prediction
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Solution Overview
Problem
In Intelligent Transport Systems (ITS), the exchange of data between vehicles and infrastructure to predict the behavior of objects is resource-intensive and often transmits unnecessary information, which can waste bandwidth and reduce system efficiency.
Innovation Solution
A method where an ITS station monitors an area, transmits Collective Perception Messages (CPMs) containing predicted data about the behavior of objects, including information on their predicted position, trajectory, danger level, and difficulty in prediction, using knowledge from the area such as past trajectories and local events, to optimize resource use and improve safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If CPMs contain detailed information about current state of objects, then the completeness of environment perception is improved, but the bandwidth consumption and processing load increase
Solution Approach 1:
The patent extracts only the essential and changing information from the complete object state, transmitting only relevant updates rather than full state descriptions. This reduces bandwidth consumption while maintaining the necessary environment perception completeness for safety-critical applications.
Solution Approach 2:
The patent applies different information transmission strategies to different objects based on their relevance and change characteristics. High-priority objects with significant state changes receive detailed transmission, while low-priority stable objects receive minimal or no transmission, optimizing the balance between information completeness and resource consumption.
2Reliability
If CPMs are transmitted frequently to provide up-to-date object information, then the reliability of environment perception is improved, but the system resource consumption increases
Solution Approach 1:
The patent implements dynamic transmission timing based on object state changes and priority levels. Instead of fixed periodic transmission, the system adapts the transmission frequency to the actual need, transmitting only when relevant state changes occur. This maintains environment perception reliability while significantly reducing unnecessary transmissions and improving overall system efficiency.
3Loss of information
If CPMs include predicted future states of objects, then the ability to anticipate behavior is improved, but the complexity of message processing increases
Solution Approach 1:
The patent performs behavior prediction in advance at the transmitting ITS-S, incorporating predicted future states directly into the CPM messages. This preliminary action allows receiving ITS-Ss to benefit from the prediction capability without having to implement complex prediction algorithms themselves, thus improving behavior anticipation while keeping receiving end complexity low.
Data Source
AI summary
According to some embodiments of the disclosure, it is provided a method of communication in an intelligent transport system, ITS, comprising, at an originating ITS station, ITS-S, monitoring an area, transmitting a Collective Perception Message, CPM, comprising predicted data representing a predicted behavior of an object perceived by the originating ITS-S within the monitored area, the CPM further comprising an item of information characterizing the predicted behavior with regard to at least one element of the monitored area.