Central Latency System for V2X Drive Assist
Solution Overview
Problem
In-vehicle drive assist applications face challenges due to signal latency issues in V2X communication systems, leading to outdated data and reduced effectiveness of applications like lane change assist and collision avoidance.
Innovation Solution
A central latency system that acquires, aggregates, and characterizes latency data from various nodes, generating latency characterization information to reduce estimation traffic and provide real-time or projected latency insights to vehicles and roadside devices, enabling informed decision-making for drive assist applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If latency data is collected and processed in a distributed manner at each node, then measurement precision is improved, but device complexity increases
Solution Approach 1:
A central server acts as an intermediary to collect latency data from multiple nodes, perform aggregation and characterization, and distribute the results back to nodes. This centralizes the complex processing tasks while maintaining accurate measurements through coordinated data collection from distributed sources.
Solution Approach 2:
The patent combines latency measurements from multiple distributed nodes into a centralized characterization model. By merging individual node measurements with contextual data at the central server, the system achieves comprehensive latency characterization without requiring each node to independently perform complex analysis.
2Reliability
If real-time latency characterization is provided to all nodes, then reliability of drive assist applications is improved, but loss of information increases due to traffic overhead
Solution Approach 1:
The system provides customized latency characterization information to each node based on its specific location, context, and requirements. Instead of broadcasting identical information to all nodes, the central server tailors the latency data to be locally relevant, reducing unnecessary communication overhead while maintaining reliability for each node's drive assist applications.
Solution Approach 2:
The central server pre-characterizes latency patterns and prepares latency models in advance based on historical and real-time data from multiple nodes. This preliminary characterization allows nodes to receive ready-to-use latency information without requiring extensive real-time data exchange, reducing communication traffic while maintaining up-to-date latency awareness.
Data Source
AI summary
A central latency system includes a communication device configured to exchange data with an external device. The data includes current latency data, current contextual data associated with the latency data, or a combination thereof. The system further includes a controller configured to aggregate latency data in response to acquiring the current latency data, generate a latency characterization information based on the aggregated latency data, and transmit the latency characterization information to the external device.


