Vehicle Occupant Movement Analysis Using 2D and 3D Image Sensors
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Solution Overview
Problem
Current technologies lack effective solutions for determining and analyzing movements of vehicle occupants, particularly drivers, which can lead to distracted driving situations due to the absence of systems that leverage image sensor data to identify and record gestures and actions while driving.
Innovation Solution
A computer-implemented method and system using 2-D and 3-D image sensor data to detect and record movements of vehicle occupants by comparing image data with a library of baseline movements, enabling real-time analysis and logging of driver actions within a vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image sensor data is used to detect driver movements, then measurement precision of driver behavior is improved, but device complexity increases
Solution Approach 1:
The system segments driver behavior detection into distinct movement categories (head movements, hand movements, body movements) and uses separate baseline libraries for each type. This modular approach allows the complex detection task to be divided into manageable components, improving measurement precision for each specific movement type while organizing device complexity in a structured manner.
Solution Approach 2:
The patent transitions from traditional 2-D image analysis to 3-D imaging technology, adding a depth dimension to movement detection. This dimensional enhancement enables more accurate measurement of driver gestures and movements by capturing spatial relationships and movement trajectories that cannot be detected in two dimensions, thereby improving measurement precision.
2Measurement precision
If a comprehensive library of baseline movements is created, then measurement precision is improved, but loss of time in data processing increases
Solution Approach 1:
The system performs preliminary action by pre-capturing and storing baseline movement data for various driver gestures before actual monitoring begins. These baseline movements (normal driving positions, common adjustments, distracted driving patterns) are recorded and stored in advance, creating reference libraries that enable rapid comparison during real-time monitoring, thus improving measurement precision without adding processing time during operation.
Solution Approach 2:
The patent creates simplified copies of driver movements by recording baseline data that represents typical driving behaviors. These copied baseline movements serve as reference templates that can be quickly compared against real-time sensor data using pattern recognition algorithms, enabling accurate measurement while minimizing processing time through efficient data matching.
Data Source
AI summary
Systems and methods for assessing the movements of a driver while operating the vehicle are provided. According to certain aspects, an electronic device may receive and analyze image data from a 2-D image sensor and a 3-D image sensor, where the image data depicts an individual located within a vehicle. The electronic device may also access a library of baseline movements to which to compare the image data. Based on the comparing, the electronic device may identify and record a set of movements made by the driver.