Autonomous Vehicle Sensor Data Substitution via Third-Party System
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Solution Overview
Problem
Autonomous vehicles face challenges in navigating and operating in areas where privacy regulations restrict the capture of sensor data, leading to incomplete navigation and potential safety issues due to obscured or blurred data, which hinders auditing and technical operations.
Innovation Solution
A third-party external sensor system (TESS) is implemented to provide moving object data to autonomous vehicles, restricting sensor operations or providing substitute data to ensure compliance with privacy regulations while enabling safe navigation and data integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If autonomous vehicle sensors capture data in restricted areas, then navigation accuracy is improved, but privacy regulations are violated
Solution Approach 1:
A third-party external sensor system (TESS) acts as an intermediary between the autonomous vehicle and restricted areas. The TESS captures sensor data in the restricted area and provides substitute data to the vehicle, allowing navigation without direct sensor capture by the vehicle itself, thus maintaining privacy compliance while achieving navigation accuracy.
Solution Approach 2:
The system creates substitute data that copies essential navigation information from the restricted area without capturing actual sensor data. The TESS generates synthetic or processed data that replicates the necessary movement and object information while excluding privacy-sensitive content, enabling the vehicle to navigate accurately without violating privacy regulations.
2Object-affected harmful factors
If sensor data is obscured or blurred for privacy, then privacy protection is improved, but navigation safety deteriorates
Solution Approach 1:
The TESS serves as an intermediary that processes sensor data before providing it to the autonomous vehicle. It captures raw data in the restricted area, processes it to remove or obscure privacy-sensitive information while preserving navigation-critical features, and delivers the processed substitute data to the vehicle, ensuring both privacy protection and navigation safety.
Solution Approach 2:
The system applies different processing qualities to different parts of the sensor data. Privacy-sensitive regions (such as specific properties or individuals) are obscured or removed, while navigation-critical regions (such as roads, intersections, and general traffic patterns) are preserved with high quality, allowing the vehicle to maintain safety while complying with privacy regulations.
3Object-affected harmful factors
If sensor operations are restricted in regulated areas, then privacy compliance is improved, but data completeness deteriorates
Solution Approach 1:
The TESS acts as an intermediary data source that compensates for the restricted sensor operations. When the autonomous vehicle's sensors are limited in regulated areas, the TESS provides substitute data that fills the information gap, ensuring the vehicle receives sufficient navigation data without the vehicle's sensors directly capturing restricted information, thus maintaining both compliance and data completeness.
Solution Approach 2:
The TESS system performs multiple functions: it captures sensor data in restricted areas, processes and anonymizes the data according to privacy regulations, and provides substitute data to autonomous vehicles. This multi-functional approach ensures that a single system can handle both privacy compliance and data provision, maintaining data completeness without requiring the vehicle's sensors to operate in restricted zones.
Data Source
AI summary
A navigation request is detected. The navigation request includes a destination for an autonomous vehicle from a starting location. A route is identified from the starting location to destination based on the navigation request. A regulator lookup is performed related to the route based on the navigation request. The regulator lookup is related to an owner of privacy data for one or more regulators. In response to the regulator lookup, a conditional allowance related to the route is received. The conditional allowance indicates that one or more autonomous vehicle sensors of the autonomous vehicle may not capture data related to a first property of a first regulator. the first property is located proximate to the route. The one or more autonomous vehicles sensors of the autonomous vehicle are restricted in response to the conditional allowance.