ITS Service Dissemination for Low-Latency VRU Hazard Alerts
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Solution Overview
Problem
Existing computer-assisted and autonomous driving vehicles struggle to effectively detect and respond to human errors of vulnerable road users, despite being equipped with sophisticated sensing and computing technologies.
Innovation Solution
Implementing Upgradeable Vehicular Compute Systems (UVCS) that enhance channel sensing and signal measurement capabilities, enabling vehicles to communicate more effectively with roadside infrastructure and vulnerable road users through various radio access technologies, including DSRC and LTE-V2X, to improve detection and response to vulnerable road user scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sophisticated sensing technology suite is equipped in CA/AD vehicles, then vehicle sensing capability is improved, but ability to detect human errors at VRUs' end remains insufficient
Solution Approach 1:
The patent introduces roadside infrastructure and cloud-based platforms as intermediaries between vehicles and VRUs. These intermediaries collect, process, and analyze data from multiple sources including vehicle sensors, roadside cameras, and cloud databases to detect VRU human errors that individual vehicle sensors cannot detect alone. The intermediary system fuses data from heterogeneous sources to achieve reliable VRU behavior analysis.
Solution Approach 2:
The patent creates a multi-functional system where roadside infrastructure serves multiple purposes: it acts as a communication relay for V2X messages, a data collection point for VRU behavior analysis, a processing node for cloud-based algorithms, and a coordination center for multiple vehicles. This universal infrastructure enables the system to address both vehicle safety and VRU error detection simultaneously.
2Loss of information
If V2X communication is used to improve VRU detection, then communication capability is improved, but network load and latency increase
Solution Approach 1:
The patent implements local processing at roadside infrastructure nodes where V2X messages are received and filtered. Only relevant VRU behavior data and alert messages are forwarded to vehicles, while redundant information is discarded locally. This local quality control reduces the volume of data transmitted over the network and minimizes latency for critical safety information.
Solution Approach 2:
The system performs preliminary analysis of VRU behavior at roadside infrastructure before transmitting alerts to vehicles. By pre-processing data and identifying potential hazards in advance, the system prepares targeted alert messages that can be transmitted immediately when needed, reducing overall communication latency compared to real-time raw data transmission.
3Speed
If edge computing is deployed at roadside infrastructure, then processing speed is improved, but infrastructure complexity increases
Solution Approach 1:
The patent segments the computing functionality across multiple levels: basic filtering and message routing are performed at roadside infrastructure, while complex analysis and model training are performed in the cloud. This segmentation allows roadside nodes to maintain relatively simple hardware while still providing fast local processing for time-critical functions, reducing overall system complexity.
Solution Approach 2:
The patent combines multiple functions including V2X message routing, local data storage, edge computing processing, and cloud connectivity into integrated roadside infrastructure nodes. By merging these functions into unified platforms, the system reduces the number of separate components needed and simplifies deployment while maintaining high processing speed through coordinated multi-level computation.
Data Source
AI summary
The present disclosure is related to Intelligent Transport Systems (ITS), and in particular, to service dissemination basic services (SDBS) and/or collective perception service (CPS) of an ITS Station (ITS-S). Implementations of how the SDBS and/or CPS is arranged within the facilities layer of an ITS-S, different conditions for service dissemination messages (SDMs) and/or collective perception message (CPM) dissemination, and format and coding rules of the SDM/CPS generation are provided.