AR Pose Guidance for Secure Vehicle Authentication
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems for partially autonomous vehicles require complex authentication processes for nomadic devices to remotely control vehicles, which can be cumbersome and inefficient, especially in environments with obstructions.
Innovation Solution
A method that calculates unobstructed pose orientations for nomadic devices to establish a secure connection with vehicles by receiving proximity characteristics, including mapped obstruction data, and displays these orientations in an augmented reality interface to facilitate secure authentication and control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If complex authentication processes are used for nomadic devices to remotely control vehicles, then security is improved, but ease of operation deteriorates
Solution Approach 1:
The patent replaces complex mechanical/authentication procedures with an optical/image recognition system. The vehicle camera captures images of the nomadic device display, and pose matching algorithms automatically verify authentication without requiring manual input or complex security protocols. This substitution of mechanical authentication with optical recognition simplifies the user experience while maintaining security through automated verification.
Solution Approach 2:
The authentication system performs self-verification through automated pose matching. The vehicle's computer vision system automatically detects the nomadic device's pose, compares it against stored reference poses, and completes authentication without human intervention. This self-service approach eliminates the need for users to navigate complex authentication workflows while maintaining secure verification through automated image analysis.
2Ease of operation
If traditional authentication methods are used without pose orientation guidance, then device complexity is reduced, but ease of operation deteriorates in obstructed environments
Solution Approach 1:
The patent introduces an intermediary augmented reality interface that guides users through the authentication process. AR overlays provide real-time feedback on device orientation and position, mediating between the user and the complex pose-matching algorithm. This intermediary layer simplifies user interaction by providing visual guidance without exposing the underlying system complexity, enabling successful authentication even in obstructed environments.
Solution Approach 2:
The augmented reality interface uses color changes and visual indicators to communicate authentication status and guide device orientation. Different colors indicate whether the pose is correct, partially correct, or incorrect, providing intuitive feedback without requiring users to understand complex technical parameters. This visual feedback mechanism simplifies operation while the underlying complex algorithms handle pose analysis and verification.
Data Source
AI summary
The disclosure is generally directed to systems and methods for receiving proximity characteristics at a nomadic device, the proximity characteristics including mapped obstruction data identifying locations of one or more obstructions of an area surrounding a vehicle; calculating at last one unobstructed pose orientations for establishing a secure connection between the nomadic device and the vehicle based on the proximity characteristics, the unobstructed pose orientation determined at least in part on the mapped obstruction data; and displaying the unobstructed pose orientation on the nomadic device within an array of augmented reality pose orientations on the nomadic device. In some embodiments, the systems and methods include displaying an interactive overlay as a direction to a user of the nomadic device, the interactive overlay coaching the user to locate to the at least one unobstructive pose orientation.


