Vehicle-Acceleration Head Pose Prediction for Low-Latency Tracking
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Solution Overview
Problem
Existing head-pose tracking systems are unreliable and inefficient in dynamic environments, leading to high latency and errors in tracking head poses, which adversely affects the viewing experience by generating pose-inconsistent images.
Innovation Solution
A system and method that utilize vehicular acceleration signals to predict head movements, refining head position and orientation through transformations and biomechanical models to enhance tracking accuracy and reliability in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If visible-light cameras and/or near-infrared cameras are used to capture continuous image streams for head pose tracking, then tracking coverage is improved, but tracking precision and responsiveness deteriorate due to high latency and errors in dynamic environments
Solution Approach 1:
The patent introduces an intermediary computational model that predicts head pose based on vehicle acceleration data. This intermediary system bridges the gap between vehicle motion and head pose, providing accurate predictions without relying solely on continuous image capture, thereby reducing latency and improving precision in dynamic environments
Solution Approach 2:
The patent replaces the mechanical/optical tracking system (cameras capturing continuous images) with a computational prediction system that uses vehicle acceleration signals. This substitution eliminates the need for continuous image processing while maintaining or improving tracking accuracy through physics-based prediction models
2Speed
If continuous image streams are captured to track head poses in real-time, then tracking responsiveness is improved, but system reliability deteriorates due to high latency and errors in dynamic conditions
Solution Approach 1:
The system performs preliminary action by predicting head pose based on vehicle acceleration data before actual head movement occurs. This predictive approach allows the system to anticipate head position changes, reducing latency and providing reliable tracking information in advance, especially during sudden vehicle movements
Solution Approach 2:
The patent implements a feedback mechanism where predicted head pose information is continuously refined based on actual tracking data. This closed-loop system corrects prediction errors over time, improving both reliability and responsiveness while reducing the dependency on continuous high-speed image capture
3Adaptability or versatility
If existing head-pose tracking systems process continuous images to determine head poses, then tracking coverage is maintained, but tracking precision deteriorates leading to pose-inconsistent images
Solution Approach 1:
The computational prediction model acts as an intermediary that generates accurate head pose predictions based on vehicle acceleration. This intermediary system ensures pose consistency by providing physically accurate predictions that align with actual head movement, eliminating the pose inconsistencies that occur with direct image-based tracking in dynamic conditions
Data Source
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AI summary
Tracking means (102, 806) is utilised to track a position and an orientation of a head (206) of user(s) (204, 402, 812) sitting inside a vehicle (202, 404). A vehicular acceleration signal (302) is determined for a first time period (306), based on at least one of: an acceleration, an orientation of the vehicle sensed by sensor(s) (104) during the first time period. Transformation(s) is/are applied to the vehicular acceleration signal to generate a head acceleration signal (304) for a second time period (308), wherein the head acceleration signal is indicative of a change in at least one of: an acceleration, the orientation of the head. An expected head movement of the user(s) is determined, based on the head acceleration signal. The position and the orientation of the head being tracked by utilising the tracking means are refined, based on the expected head movement.