Autonomous Vehicle Biometric Recognition via Gesture and Gait Analysis
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Solution Overview
Problem
Autonomous vehicles require personal electronic devices for user identification, limiting their functionality and user experience, as they cannot recognize users without biometric data, especially in scenarios where devices are not available.
Innovation Solution
A user recognition system that utilizes environmental sensors to detect biometric features like gestures and gait, combined with facial and voice recognition, allowing autonomous vehicles to identify and authenticate users without the need for personal devices, using a processor-controlled biometric recognition module and communication module for database verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If personal electronic devices are used for user identification in autonomous vehicles, then user identity can be determined, but the system requires users to carry personal electronic devices which limits functionality and user experience
Solution Approach 1:
The patent replaces the mechanical/electronic system of personal devices with a biometric recognition system using environmental sensors. The controller captures images of users with environmental sensors, processes these images through a biometric recognition module, and identifies users based on biometric features such as facial recognition, eliminating the need for personal electronic devices while maintaining reliable user identification.
2Adaptability or versatility
If biometric recognition systems are implemented, then device-free user recognition is enabled, but the system complexity increases with multiple sensors and processing modules
Solution Approach 1:
The patent applies multi-functionality by using environmental sensors that serve dual purposes: they capture images for biometric recognition and also monitor the general environment for autonomous vehicle operation. The controller performs multiple functions including image processing, biometric analysis, user identification, and vehicle control, reducing the need for separate dedicated components and thereby managing system complexity.
3Measurement precision
If environmental sensors scan the environment continuously, then user gestures and gait can be detected, but energy consumption increases
Solution Approach 1:
The patent implements preliminary action by having the controller continuously monitor the environment with environmental sensors and pre-identify potential users before approaching the vehicle. When a user is detected showing recognition gestures or characteristic gait, the system activates more intensive biometric scanning and processing only for that specific target, rather than continuously analyzing all environmental data at high resolution, thereby reducing overall energy consumption while maintaining detection accuracy.
Data Source
AI summary
Methods and a system are disclosed for providing autonomous driving system functions. The system includes a controller providing functions for automated user recognition in the autonomous vehicle, at least one environmental sensor configured to scan an environment of the autonomous vehicle and to transmit scan data of the environment to a biometric recognition module of the autonomous vehicle, and a biometric recognition module configured to analyze the scan data of the environment based on a gesture recognition algorithm by using a processor. The gesture recognition algorithm analyzes the scan data of the environment based on at least one biometric feature by using the processor. The at least one biometric feature comprises at least a flagging down gesture and the controller is configured to stop the autonomous vehicle at a position relative to the user and to configure the autonomous vehicle to offer to the user the use of the autonomous vehicle.