Voice Authentication Access Control for Autonomous Driving
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Solution Overview
Problem
There is a need for an improved authentication system to verify users who attempt to control a voice controlled autonomous driving system, as not all occupants in a vehicle may be trained or have the necessary maturity to safely operate the vehicle through voice commands.
Innovation Solution
The authentication system utilizes a combination of perception sensors, speech recognition algorithms, and user databases to confirm the identity and credibility of occupants. It calculates a credibility score based on the success, authorization, feasibility, and consequence of voice commands, adjusting access levels accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If voice commands are allowed for all occupants, then ease of operation is improved, but safety and reliability deteriorate because not all occupants are trained or mature enough to control the vehicle
Solution Approach 1:
The system segments occupants into different access levels (first access level for full control, second access level for limited control) based on their credibility scores. This segmentation allows the system to provide differentiated access rights, enabling ease of operation for authorized users while maintaining safety by restricting access for unauthorized or low-credibility occupants.
Solution Approach 2:
The access level of occupants is made dynamic rather than static. The system continuously calculates credibility scores based on real-time behavior (voice command success, authorization status, feasibility, consequences) and adjusts access levels accordingly. This dynamic adjustment allows the system to adapt to changing occupancy conditions and maintain both ease of operation and safety.
2Reliability
If authentication verification is implemented for all voice commands, then safety is improved, but device complexity increases due to multiple sensors and processing requirements
Solution Approach 1:
The system uses multi-functional components that serve multiple purposes. For example, perception sensors not only detect the environment but also help verify occupant identity and behavior. The voice command processing system both controls the vehicle and generates data for credibility scoring. This multi-functionality reduces the need for separate dedicated authentication hardware, thereby improving safety without proportionally increasing device complexity.
Solution Approach 2:
The system performs self-authentication by automatically calculating credibility scores and adjusting access levels without requiring manual intervention or separate authentication procedures. The occupancy detection, voice command processing, and access level adjustment all occur automatically through the existing autonomous driving system components, improving safety while minimizing additional complexity.
3Reliability
If access levels are adjusted based on credibility scores, then reliability is improved, but ease of operation deteriorates due to restricted access for some occupants
Solution Approach 1:
The system segments access rights into different levels, allowing occupants to operate the vehicle according to their verified credibility. Authorized occupants experience full ease of operation with first access level, while restricted occupants receive appropriate limitations. This segmentation ensures that reliability is improved through verification while ease of operation is maintained for those who qualify.
Solution Approach 2:
The system changes the parameter of access level based on calculated credibility scores. When credibility is high, full access is granted maintaining ease of operation. When credibility is low or uncertain, access is restricted to improve reliability. This dynamic parameter adjustment allows the system to optimize the balance between reliability and ease of operation based on real-time assessment.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively verifies authorized users and assesses their credibility, ensuring safe operation of the autonomous driving system by adjusting access levels based on the occupant's reliability and compliance with traffic rules.
Implementation Method 1
a microphone that receives a voice command spoken by a driver or occupant of the vehicle
Implementation Method 2
The one or more controllers convert the electrical signal into a text-based command based on one or more speech recognition algorithms
Data Source
AI summary
An authentication system for a voice controlled autonomous driving system of a vehicle includes a plurality of perception sensors for collecting perception data indicative of an environment surrounding the vehicle and one or more controllers in electronic communication with one or more autonomous driving controllers of the voice controlled autonomous driving system and the plurality of perception sensors. The voice controlled autonomous driving system determines the trajectory of the vehicle based on a voice command generated by an occupant of the vehicle. The one or more controllers execute instructions to calculate a credibility score of the occupant that quantifies a reliability of one or more voice-based commands generated by the occupant. In response to determining an overall credibility score of the occupant is less than the threshold access score, the one or more controllers adjust an access level of the voice controlled autonomous driving system for the occupant.