Vehicle Surroundings Mapping with Resolution-Based Image Texturing
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Solution Overview
Problem
Existing approaches to creating environment maps for vehicles often fail to achieve a desired quality of realistic representation, particularly in terms of resolution and accuracy.
Innovation Solution
The solution involves creating an environment map using sensor facilities and texturing it with image information from camera devices, prioritizing high-quality image information and using more recent image data when the vehicle approaches a specified distance threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image information is projected onto a virtual projection screen to create environment representation, then the environment can be visualized, but the quality and realism of the representation deteriorates
Solution Approach 1:
The patent creates a copy of the physical environment by generating a three-dimensional data structure (point cloud) from sensor measurements and texturing it with captured images. This digital copy replaces the need for complex virtual projection screens while maintaining visual fidelity and realism of the environment representation.
2Area of stationary object
If multiple camera devices are used to capture images from different positions, then coverage of environment is improved, but the quality of image information deteriorates due to lower resolution in certain areas
Solution Approach 1:
The patent applies local quality by creating a three-dimensional data structure where different regions can have different levels of detail and resolution. The point cloud allows dense sampling in areas requiring high precision while maintaining broader coverage in other regions, optimizing the balance between coverage area and image quality.
3Loss of time
If image information is continuously captured during vehicle movement, then the environment map is updated, but the resolution of captured images deteriorates at certain distances
Solution Approach 1:
The patent implements dynamics by continuously updating the three-dimensional data structure as the vehicle moves, dynamically adjusting which image information is captured and how it is integrated. The system adapts to changing distances and viewing angles, maintaining resolution quality by selectively processing images based on their relevance and quality at different moments in time.
4Reliability
If sensor devices are used to generate environment map with three-dimensional shape information, then realism is improved, but the complexity of data processing increases
Solution Approach 1:
The patent segments the environment representation into discrete three-dimensional points (point cloud), where each point contains positional information and can be independently textured. This segmentation simplifies data processing by breaking down the complex task of creating realistic 3D models into manageable units that can be processed and rendered efficiently.
Data Source
Figure 1
AI summary
The invention relates to a method for producing a surroundings map of a vehicle (100), textured with image information, said method comprising: detecting at least first and second image information from vehicle surroundings using at least one vehicle-mounted camera device (16); producing a surroundings map of the vehicle (100); determining at least one area of the surroundings map in which both the first and second sets of image information are present; and selecting either the first or the second set of image information for texturing said area of the surroundings map according to at least one of the following criteria: the image information with the highest resolution is selected; the latest image information is selected. The invention also relates to an arrangement (1) for producing a surroundings map of a vehicle (100), which is textured with image information, and to a vehicle (100) comprising such an arrangement (1).