Sensor Data Sharing With Privacy Filtering and Event-Based Transfer
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Solution Overview
Problem
Current autonomous driving systems face challenges in efficiently sharing sensor data while protecting personal information and optimizing data sharing based on object classes and event occurrences, and in aligning coordinate systems for accurate vehicle path calculation.
Innovation Solution
A method for sharing sensor data between devices that involves processing data to protect personal information, determining data content based on object classes and event occurrences, and aligning coordinate systems for vehicle path calculation using sensor data from various sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If sensor data is shared to improve autonomous driving information quality, then data sharing efficiency is improved, but personal information privacy is compromised
Solution Approach 1:
The patent extracts and removes personal information from sensor data before sharing. The processing unit identifies and removes identifying features from point cloud data, extracting only the necessary environmental information while leaving out personal details, thus resolving the contradiction between data sharing efficiency and privacy protection
Solution Approach 2:
The patent applies different processing qualities to different parts of the data. Sensitive regions containing personal information are processed with higher anonymity (removed or blurred), while non-sensitive regions maintain their original quality, enabling selective privacy protection that preserves data sharing efficiency for non-identifying information
2Reliability
If all sensor data is shared to improve autonomous driving safety, then information completeness is improved, but communication bandwidth and processing load increase
Solution Approach 1:
The patent segments sensor data by object classes (pedestrians, vehicles, infrastructure, etc.) and selectively shares data based on relevance to autonomous driving safety. This segmentation allows the system to transmit only necessary data portions, reducing overall data volume while maintaining safety-critical information completeness
Solution Approach 2:
The patent implements partial data sharing by transmitting only the portions of sensor data that are relevant to safety-critical objects and events. Rather than sharing all sensor data excessively, the system selectively transmits partial data that suffices for maintaining autonomous driving safety
3Measurement precision
If coordinate systems are aligned for accurate vehicle path calculation, then path calculation accuracy is improved, but data processing complexity increases
Solution Approach 1:
The patent performs coordinate system alignment and transformation as a preliminary action before path calculation. By pre-aligning the coordinate systems of shared sensor data with the receiving vehicle's coordinate system, the system eliminates the need for complex real-time transformations during path calculation, thus improving accuracy while managing processing complexity
Data Source
AI summary
Sharing sensor data between a first device and a second device comprising obtaining a set of point data from at least one of sensors located in the first device, determining a property data of the subset of point data based on the subset of point data, generating a first sharing data for sharing with the second device based on the property data, transmitting the sharing data to the second device, identifying an occurrence of an event at a first time point, and generating a second sharing data different from the first sharing data. A content of the second sharing data includes at least a portion of the set of point data obtained within a first time period including the first time point.