Shared-Ride Privacy Control for Autonomous Vehicle Displays
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Solution Overview
Problem
Autonomous vehicles face privacy concerns when multiple passengers share a ride, as in-vehicle displays may reveal personal information, posing safety and security risks, especially when passengers are strangers.
Innovation Solution
Adaptive privacy settings are implemented in autonomous vehicles, which include determining passenger seat locations, restricting in-cabin features, and obscuring personal information on displays, while providing sensitive information through secure interfaces outside the view of other passengers, and adjusting pick-up and drop-off locations to protect passenger privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If in-vehicle displays show personal information to passengers, then user experience and personalization are improved, but passenger privacy and safety are compromised
Solution Approach 1:
The system dynamically adjusts display content based on real-time detection of other passengers' presence. When multiple passengers are detected, the system automatically switches to privacy-protective mode, obscuring or removing personally identifiable information from displays. When alone, full personalization is restored, creating a dynamic adaptation between privacy and personalization based on occupancy conditions.
Solution Approach 2:
Different display regions or interfaces are assigned different privacy levels based on passenger proximity and seating position. The system determines which displays are visible to which passengers and applies selective redaction, ensuring that only information visible to other passengers is obscured, while maintaining full functionality for the user's private information.
2Object-affected harmful factors
If adaptive privacy settings are implemented to protect passenger information, then privacy and safety are improved, but system complexity increases
Solution Approach 1:
The system uses existing sensors already present in autonomous vehicles (cameras, occupancy detectors) to automatically detect passenger presence and trigger appropriate privacy settings. No additional manual input or complex user configuration is required - the system self-adjusts based on environmental conditions, leveraging existing infrastructure to minimize added complexity.
Solution Approach 2:
Privacy settings are pre-configured and automatically applied based on detected conditions. The system has predetermined privacy levels and display configurations ready to be activated when specific occupancy scenarios are detected, eliminating the need for real-time decision-making complexity during ride execution.
3Object-affected harmful factors
If pick-up and drop-off locations are scrambled to nearby destinations, then address privacy is improved, but navigation precision and route accuracy are reduced
Solution Approach 1:
Location scrambling is applied selectively only when other passengers are present in the vehicle. When alone, the system displays the exact intended destination. When shared, it substitutes nearby alternative locations that are sufficiently close to fulfill the passenger's needs while protecting address privacy, maintaining precision where safe and providing approximation where necessary.
Data Source
AI summary
Systems and methods for adapting various autonomous vehicle settings to protect personal information based on the composition of passengers in a vehicle. In particular, sensitive user information is intelligently parsed out or generalized based on user preference and the presence of unknown passengers. In some examples, sensitive user information is routed to more secure channels such as a mobile device application or a personalized display. In some implementations, the position of passengers within a vehicle is determined to identify which displays are in each passenger's field of view. Additionally, pick-up and drop-off locations can be scrambled to nearby destinations to obscure a home address, work address, or other identifiable address information.