Context-Based Data Valuation for Autonomous Vehicle Sensor Transmission
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Solution Overview
Problem
Autonomous vehicles face challenges in efficiently transmitting sensor data while optimizing resource usage and minimizing costs, as existing methods lack a systematic approach to prioritize data based on value and transmission costs.
Innovation Solution
Implementing a value-based data transmission system that acquires sensor data, determines its value using rules or machine learning models, and establishes an upload policy to selectively transmit data based on priority and cost thresholds, utilizing redundant pathways for reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all sensor data is transmitted to the server, then data completeness is improved, but network bandwidth consumption and transmission costs increase
Solution Approach 1:
The patent applies local quality by assigning different transmission priorities to different portions of sensor data based on their individual values. High-value data portions (e.g., those containing critical safety information or rare events) are transmitted with higher priority, while low-value portions are transmitted with lower priority or excluded entirely. This selective approach ensures data completeness for important information while reducing overall network bandwidth consumption.
Solution Approach 2:
The system dynamically changes transmission parameters (such as transmission priority, compression level, or exclusion) based on the calculated value of each data portion. By adjusting these parameters according to data value, the system optimizes the balance between data completeness and bandwidth consumption, transmitting only the necessary portions at appropriate quality levels.
2Loss of information
If high-value data is prioritized for transmission, then data value maximization is improved, but transmission time and scheduling complexity increase
Solution Approach 1:
The system performs preliminary valuation of sensor data portions before transmission, calculating their values in advance based on predefined criteria (e.g., data type, freshness, relevance to current vehicle operations). This preliminary action allows the system to establish transmission priorities beforehand, enabling efficient scheduling that maximizes data value while minimizing transmission time by avoiding last-minute priority assessments.
Solution Approach 2:
The system uses feedback from the valuation process to dynamically adjust transmission scheduling. By continuously monitoring data values and transmission outcomes, the system refines its prioritization strategy, learning which data portions consistently provide high value and optimizing future transmission schedules to reduce overall transmission time while maintaining data value maximization.
3Productivity
If data valuation and selective transmission is implemented, then resource efficiency is improved, but system complexity increases
Solution Approach 1:
The patent segments the sensor data into distinct portions and evaluates each portion's value independently using modular valuation criteria. This segmentation approach allows the complex task of data prioritization to be broken down into manageable, independent assessments, making the overall system more tractable while maintaining resource efficiency through selective transmission of high-value segments.
Data Source
AI summary
Context-based data valuation and transmission, including: acquiring sensor data from a plurality of sensors of the autonomous vehicle, wherein the sensor data comprises a plurality of portions and the plurality of sensors comprises at least two cameras; determining, for each portion of the sensor data, a value based on one or more conditions under which the sensor data was captured; determining, based on the values for the sensor data, an upload policy; and transmitting, based on the upload policy, one or more portions of the sensor data to a server.