Autonomous Vehicle Data Offload Prioritization Under Bandwidth Limits
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Solution Overview
Problem
Autonomous vehicles face challenges in efficiently collecting and offloading large amounts of data due to compute and network limitations, leading to delays in accessing critical data and extended downtime.
Innovation Solution
Implementing data collection triggers and priority metrics to selectively gather and transmit AV data based on conditions and events, using machine learning algorithms to optimize data collection, assembly, and transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all AV data is collected and stored for later analysis, then data availability for training and analysis is improved, but storage requirements and computational resources increase significantly
Solution Approach 1:
The system extracts and transmits only specific portions of AV data that meet predefined criteria (e.g., data associated with events of interest, anomalies, or training requirements) rather than transmitting all collected data. This selective extraction reduces storage and transmission requirements while maintaining data availability for essential purposes.
Solution Approach 2:
The patent applies different data handling strategies to different portions of AV data based on their characteristics and importance. Critical data associated with specific events is prioritized for transmission, while routine or redundant data is filtered out or stored locally, creating a quality-based differentiation in data management.
2Speed
If AV data is transmitted continuously to the fleet management system, then data access speed is improved, but network bandwidth consumption and transmission costs increase
Solution Approach 1:
Instead of continuous transmission, the system implements periodic or event-triggered data transmission. Data is transmitted at specific intervals or when predefined conditions are met (e.g., when an event of interest occurs), reducing network bandwidth consumption while ensuring timely access to critical data.
Solution Approach 2:
The system extracts and transmits only the necessary portions of data based on event criteria and priorities, rather than transmitting all collected data continuously. This selective transmission approach reduces network bandwidth consumption while maintaining fast access to critical information.
3Productivity
If AV data is processed and filtered before transmission, then transmission efficiency is improved, but computational overhead and processing time increase
Solution Approach 1:
The system performs preliminary filtering and prioritization of data at the source (AV or edge device) before transmission, based on predefined criteria and event triggers. This advance processing reduces the volume of data requiring transmission and computation at centralized systems, improving overall transmission efficiency while distributing computational overhead.
4Loss of time
If critical data is prioritized for immediate transmission, then response time for critical events is improved, but overall data transmission scheduling complexity increases
Solution Approach 1:
The patent implements priority-based differentiation where critical data associated with specific events is assigned higher transmission priority than routine data. This quality-based prioritization ensures fast response times for critical events while using simple priority queues or tagging mechanisms to manage scheduling complexity.
Data Source
AI summary
The present disclosure generally relates to identification and prioritization of autonomous vehicle (AV) data collection and data offload. In some aspects, the present disclosure provides a process for receiving one or more data collection triggers from an AV fleet management system, wherein the one or more triggers identify at least one condition that triggers collection of AV data by an AV; compiling the AV data in response to detecting the at least one condition identified by the one or more data collection triggers; determining a set of priorities that are associated with the one or more data collection triggers, wherein the set of priorities includes at least one instruction for prioritizing transmission of the AV data to the AV fleet management system; and transmitting, based on the set of priorities, the AV data to the AV fleet management system.