Encrypted Virtual Driver Models for Autonomous Vehicle Interaction
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Solution Overview
Problem
Autonomous vehicles lack effective means to communicate with external observers, such as pedestrians, due to the absence of a human driver, limiting interactions and potentially compromising safety and efficiency in traffic environments.
Innovation Solution
The generation and display of virtual models, including augmented or virtual reality 3D representations of drivers, which can interact with external observers through gestures, audio, and visual cues, using encryption for secure communication and customized based on observer characteristics, allowing for secure and intuitive interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a human driver is present in a vehicle, then real-time interactions with external observers can occur, but autonomous vehicles lack this capability due to the absence of a human driver
Solution Approach 1:
The patent creates virtual models that copy human driver appearance, gestures, and behaviors to enable communication between autonomous vehicles and external observers. These virtual models replicate human-like interactions without requiring actual human drivers, resolving the contradiction between automation and communication capability.
Solution Approach 2:
The virtual models serve as intermediaries between the autonomous vehicle system and external observers. They mediate communication by translating vehicle intentions into human-understandable gestures and behaviors, enabling interaction without direct human driver involvement.
2Ease of operation
If virtual models are displayed to external observers, then communication and interaction are enhanced, but security risks arise from unauthorized access or misuse
Solution Approach 1:
The patent implements observer-specific virtual models with localized encryption keys tailored to each external observer. This ensures that each observer receives a customized virtual model secured with their unique biometric data, enhancing both interaction quality and security by making unauthorized access computationally infeasible.
3Reliability
If observer-specific encrypted virtual models are used, then communication security is enhanced, but system complexity increases due to encryption and decryption operations
Solution Approach 1:
The system performs self-service by automatically extracting biometric features from external observers and generating corresponding encryption keys without manual intervention. The autonomous vehicle system autonomously manages the complex encryption operations, reducing the perceived complexity for users while maintaining high security standards.
Data Source
AI summary
Systems and methods for interactions between an autonomous vehicle and one or more external observers include virtual models of drivers the autonomous vehicle. The virtual models may be generated by the autonomous vehicle and displayed to one or more external observers, and in some cases using devices worn by the external observers. The virtual models may facilitate interactions between the external observers and the autonomous vehicle using gestures or other visual cues. The virtual models may be encrypted with characteristics of an external observer, such as the external observer's face image, iris, or other representative features. Multiple virtual models for multiple external observers may be simultaneously used for multiple communications while preventing interference due to possible overlap of the multiple virtual models.