Driver Posture Standardization for In-Vehicle Action Detection
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Solution Overview
Problem
Existing vehicles lack effective systems to detect and analyze vehicle occupant actions, particularly driver behaviors, which contribute to increased driving risks due to complex road environments and increased traffic complexity.
Innovation Solution
A system and method for detecting vehicle occupant actions using image data, including a processor that receives and compares previously classified image data with current image data from vehicle sensors to identify and categorize driver postures, and generates 3D models of vehicle occupants to assess driving risk.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vehicle systems are made more complex with additional sensors and processing modules to detect occupant actions, then the ability to detect and analyze driver behaviors is improved, but the device complexity and cost increase
Solution Approach 1:
The image sensor system is designed to perform multiple functions: capturing driver posture, detecting driver actions, generating 3D models, and providing both safety monitoring and insurance risk evaluation capabilities. This multi-functionality reduces the need for separate dedicated systems for each function.
Solution Approach 2:
The system creates 3D model copies of the driver from 2D image data, allowing analysis of driver posture and actions without requiring multiple physical sensors. The 3D models serve as virtual replicas that can be analyzed computationally to detect various driver behaviors.
2Speed
If real-time image data processing is implemented to detect driver actions, then the response time for safety warnings is improved, but the energy consumption and computational load increase
Solution Approach 1:
The system pre-generates 3D models from image data and maintains them in ready state, so when driver action detection is needed, the processing has already been partially completed. This preliminary model generation reduces the computational burden during critical detection moments.
Solution Approach 2:
The system focuses processing resources on analyzing specific regions of interest in the image data, such as the driver's upper body and hand positions, rather than processing the entire image. This localized analysis reduces computational load while maintaining detection accuracy for critical safety parameters.
3Adaptability or versatility
If standardized driver posture classification is implemented across different drivers and vehicle locations, then the adaptability of the system is improved, but the complexity of data normalization and processing increases
Solution Approach 1:
The system transforms raw image data into standardized 3D model parameters that are independent of the original image coordinates. By changing the parameter representation from pixel-based to normalized 3D spatial coordinates, the system achieves adaptability across different drivers and camera positions through consistent parameter transformations.
Solution Approach 2:
The system creates a standardized reference frame for all driver postures, making all drivers and camera positions equivalent in the analysis space. This equipotential approach ensures that the same analysis methods work uniformly across different drivers, vehicle types, and sensor locations, simplifying the overall processing architecture.
Data Source
AI summary
A system comprising one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations including: receiving sensor data detected by one or more image sensors in a vehicle; categorizing the sensor data as driver postures representative of driver movements in the vehicle; rotating and scaling the driver postures to be standardized for different drivers and for different locations of the one or more image sensors within different vehicles; and storing, in a database, the driver postures, as rotated and scaled. Other embodiments are disclosed.