Driver Head Pose Detection via Facial Feature Normalization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing driver distraction detection technologies in vehicles are imprecise due to dynamic human body characteristics, individual driving habits, and varying vehicle configurations, leading to errors in detecting driver distraction.
Innovation Solution
A computer-implemented method and system that uses an imaging device to capture images of a vehicle occupant, extracts facial feature points, calculates a head pose point by normalizing selected facial feature points, and determines the head pose based on changes over time, controlling vehicle systems accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional driver distraction detection technologies are used, then driver distraction can be detected, but the detection precision is low due to dynamic human body characteristics, individual driving habits, and different vehicle configurations
Solution Approach 1:
The patent transforms head pose detection from absolute position measurement to relative change measurement. By calculating the change in head pose point position over time (Δy = y_current - y_previous) and comparing it against a threshold, the system adapts to individual driver characteristics and vehicle configurations, significantly improving detection precision and reliability across diverse scenarios
Solution Approach 2:
The patent establishes a baseline head pose point position before monitoring for distraction. By first capturing the initial head position and then detecting deviations from this baseline, the system prepares the detection mechanism in advance, enabling more accurate identification of abnormal head pose changes that indicate driver distraction
Data Source
AI summary
A computer-implemented method for detecting a head pose in a vehicle including receiving images of a vehicle occupant located in the vehicle from an imaging device and selecting facial feature points from a plurality of facial feature points extracted from the images. The method includes calculating a head pose point based on normalizing the selected facial feature points, determining the head pose based on a change in position of the head pose point over a period of time T, and controlling one or more vehicle systems of the vehicle based on the head pose.