Gap-Filling Messages for Vehicle Spatial Awareness
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Solution Overview
Problem
Existing technologies face challenges in efficiently providing spatial awareness to user equipment (UE) such as on-board units (OBUs) of vehicles, especially in environments with occlusions, leading to redundant and overlapping information in situational awareness messages.
Innovation Solution
A method and apparatus for generating a gap-filling message customized for a given OBU, by receiving contextual information from multiple OBUs and combining it with known information to the OBU, ensuring no overlap, and sending this message to the OBU to enhance its spatial awareness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If situational awareness messages are broadcast to all OBUs containing environmental information from multiple sources, then spatial awareness coverage is improved, but spectrum and bandwidth usage increases due to redundant information
Solution Approach 1:
The system extracts and identifies redundant information from situational awareness messages by comparing the broadcast message against locally cached information at each OBU. Only the non-redundant, gap-filling portion of the information is processed and retained, removing duplicate data that would consume spectrum and bandwidth without adding value.
Solution Approach 2:
Each OBU maintains local cached information tailored to its specific spatial context and requirements. The system adapts the processing of situational awareness messages to each OBU's local conditions, determining which information gaps need filling based on individual OBU characteristics rather than applying a uniform approach to all OBUs.
2Measurement precision
If gap-filling messages are customized for each individual OBU by processing information from multiple sources, then spatial awareness accuracy is improved, but computational complexity increases
Solution Approach 1:
OBUs pre-cache situational awareness messages and environmental information before they are needed for gap-filling operations. This preliminary caching reduces the computational burden during real-time operation, as the comparison and identification of information gaps can be performed more efficiently against pre-processed local data rather than raw incoming messages.
Solution Approach 2:
The system segments the information processing task into distinct stages: receiving and caching raw situational awareness messages, comparing cached information with incoming gap-filling messages, identifying specific information gaps, and generating customized outputs. This segmentation allows each processing stage to be optimized independently, reducing overall computational complexity.
Data Source
AI summary
Techniques for providing spatial awareness to a user equipment (UE) such as an on-board unit (OBU) of a vehicle is disclosed. In some embodiments, such techniques may include: receiving first contextual information from a plurality of OBUs, the first contextual information comprising optically sensed information, spatially sensed information, or a combination thereof obtained by the plurality of OBUs; generating a gap-filling message customized for a given OBU of the plurality of OBUs based on a set of contextual information derived from the received first contextual information, the set of contextual information comprising a union of (i) the first contextual information and (ii) second contextual information comprising optical information, spatial information, or a combination thereof known to the given OBU, such that the first contextual information and the second contextual information do not overlap in the set of contextual information; and sending the gap-filling message to the given OBU.