Driver Field of View Probability Assessment via Curved Plane Projection
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Solution Overview
Problem
Modern driver assistance systems face challenges in determining whether an object is visible to a driver, leading to cognitive overload and potential distraction due to excessive warnings, necessitating a method to accurately assess the probability of an object being within the driver's field of view.
Innovation Solution
A method and apparatus that map three-dimensional scene objects onto a curved plane, using ray casting or rasterization to create a two-dimensional image representing the driver's field of view, allowing for probabilistic assessment of object visibility, considering occlusions and anatomical errors in head pose and viewing direction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If driver assistance systems provide direct support to vehicle control system, then vehicle safety is improved, but driver cognitive load increases due to too many notifications and warnings
Solution Approach 1:
The system differentiates between different regions of the driver's field of view (central vs. peripheral) and applies different warning strategies. Objects in the central field of view receive different treatment compared to objects in the peripheral field, allowing selective notification that reduces unnecessary warnings while maintaining safety.
Solution Approach 2:
The system calculates a probability value (parameter) indicating whether an object is located in the driver's field of view. This probability parameter is used to dynamically adjust the warning behavior, suppressing warnings for objects with high visibility probability and maintaining warnings for objects with low visibility probability.
2Loss of information
If driver assistance systems use estimation of situation awareness, then driver behavior understanding is improved, but system complexity increases
Solution Approach 1:
The system replaces complex mechanical or physiological measurement of driver awareness with a computational model. By using a camera to capture head pose and calculating field of view parameters mathematically, the system achieves situation awareness estimation without requiring complex sensors or direct measurement of driver cognitive state.
3Measurement precision
If system determines object visibility in three-dimensional scene, then warning accuracy is improved, but computational complexity increases due to rendering requirements
Solution Approach 1:
Instead of performing complex three-dimensional rendering calculations, the system creates a two-dimensional representation (copy) of the driver's field of view by mapping the three-dimensional scene onto a curved plane. This copying approach maintains accuracy in determining object visibility while significantly reducing computational complexity.
Solution Approach 2:
The system transforms the three-dimensional visibility problem into a two-dimensional problem by projecting the three-dimensional scene onto a curved plane that represents the driver's field of view. This dimensionality reduction simplifies the computational requirements while preserving the essential visibility information.
Data Source
AI summary
A method where one or more objects of a three-dimensional scene are determined in accordance with provided raw data of the three-dimensional scene representing a predefined environment inside and/or outside the vehicle. A two-dimensional image is determined in accordance with the provided raw data of the three-dimensional scene such that the two-dimensional image depicts the determined objects of the three-dimensional scene on a curved plane. The two-dimensional image has a quantity of pixels, each representing at least one part or several of the determined objects of the three-dimensional scene. Data is provided which represents at least one determined field of view of the driver. For at least one of the determined objects, the probability with which the at least one object will be located in the field of view of the driver is determined in accordance with the provided data and the two-dimensional image.