Vehicle Gesture Recognition Using 2D Image Data
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Solution Overview
Problem
Vehicle gesture recognition systems relying on 3D cameras are costly and complex, with high likelihood of failures due to complexity, making them undesirable in vehicle environments where multiple user interfacing options are available.
Innovation Solution
A vehicle gesture recognition system using 2D image data from a 2D camera or portable device, which simplifies gesture recognition by determining a 2D position of a gesture-related object, reducing computational resources and latency, and allowing control of user interfaces with predefined gestures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If 3D cameras are used for gesture recognition, then measurement precision is improved, but device complexity increases and reliability decreases
Solution Approach 1:
The patent uses 2D image data as a simplified copy or representation of the gesture scene, rather than requiring full 3D spatial information. The 2D camera captures planar projections of gestures, which are then processed to recognize gesture patterns. This copying approach maintains sufficient recognition precision while dramatically reducing system complexity compared to 3D camera systems.
2Measurement precision
If 3D cameras are used for gesture recognition, then measurement precision is improved, but cost increases
Solution Approach 1:
The patent employs inexpensive 2D cameras instead of costly 3D camera systems. While 2D cameras provide less spatial information, the patent compensates through sophisticated 2D gesture pattern recognition algorithms that can reliably distinguish different gestures from planar image sequences. This substitution of cheap 2D cameras for expensive 3D cameras directly addresses the cost issue while maintaining functional effectiveness.
3Measurement precision
If 3D cameras are used for gesture recognition, then measurement precision is improved, but reliability decreases
Solution Approach 1:
The patent makes the system self-sufficient by using only 2D camera data and 2D image processing algorithms, eliminating the need for complex 3D calibration, synchronization, and spatial reconstruction processes that plague 3D camera systems. The gesture recognition is performed directly on 2D image sequences using pattern recognition techniques, which are more robust and less prone to failure. This self-service approach within the 2D domain improves reliability by removing multiple potential failure points associated with 3D systems.
Data Source
AI summary
Embodiments of vehicle gesture recognition systems and methods are disclosed. An example vehicle gesture recognition system comprises a data interface configured for receiving 2d image data from a 2d sensor and/or from a portable device camera via a portable device interface. Additionally or alternatively, the data interface is configured for receiving gesture data indicating a gesture. A vehicle processing unit is configured for controlling user interfacing with a user interface based on the gestures recognized from the 2d image data and/or as indicated by the gesture data.