Connected Vehicle Data Offloading With Priority Image Blocks
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Solution Overview
Problem
Connected vehicles face increased end-to-end latency due to large volumes of environment perception data, which can lead to insufficient environmental perception when scaled across numerous vehicles, while smaller data volumes reduce latency but compromise perception quality.
Innovation Solution
A method and system that segment images into blocks based on objects of interest, assigning scheduling priorities for data offloading, allowing vehicles to offload only high-value blocks, thereby maximizing data value and reducing redundant information transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If large volumes of environment perception data are collected and offloaded, then comprehensive environmental perception is improved, but end-to-end latency increases
Solution Approach 1:
The patent segments images into multiple blocks and processes them separately with different scheduling priorities. High-priority blocks containing critical objects (pedestrians, vehicles, obstacles) are offloaded first to reduce latency, while low-priority blocks are processed later or skipped, achieving a balance between perception completeness and response time.
Solution Approach 2:
Different regions of the image are assigned different quality levels based on their importance. Regions containing objects of interest receive higher processing priority and are offloaded with higher scheduling priority, while less important regions receive lower priority, ensuring critical information is transmitted quickly while maintaining overall perception quality.
2Loss of information
If data from numerous connected vehicles is offloaded simultaneously, then comprehensive environmental perception across the network is improved, but network load and server processing burden increase
Solution Approach 1:
The patent groups multiple vehicles into clusters and processes their image blocks in batches. By merging similar blocks from multiple vehicles and processing them together, the system reduces redundant network transmissions and server processing operations, improving overall network efficiency while maintaining comprehensive environmental perception coverage.
Solution Approach 2:
The system processes only the most critical blocks from each vehicle with high priority, and selectively processes or skips less critical blocks. This partial processing approach ensures that essential environmental information is captured across the network while avoiding the excessive processing burden of transmitting and analyzing every single block from every vehicle.
3Speed
If high-priority blocks are offloaded first, then critical environmental information is transmitted faster, but data transmission completeness may be compromised
Solution Approach 1:
The system performs preliminary identification of high-priority blocks containing critical objects before offloading. By pre-marking these blocks with higher scheduling priorities, the system ensures they are transmitted first without compromising overall data completeness, as low-priority blocks continue to be processed and transmitted subsequently.
Solution Approach 2:
The patent implements continuous processing of image blocks in priority order rather than stopping after high-priority blocks. The offloading process continues sequentially through medium-priority and low-priority blocks, ensuring complete data transmission while maintaining the speed advantage of prioritized critical information transmission.
Data Source
AI summary
Systems and methods for scheduling environment perception-based data offloading for numerous connected vehicles are disclosed. In one embodiment, a method for offloading data includes capturing an image of a view of interest from a vehicle, segmenting the image into a plurality of blocks, and determining a scheduling priority for each of one or more blocks among the plurality of blocks based on block values, wherein the block values relate to one or more objects of interest contained in each of the one or more blocks. The method further includes offloading, from the vehicle to a server, one or more blocks based on the scheduling priority of the one or more blocks.