Cloud Map Sampling With Local Tangent Planes for Spherical Accuracy
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Solution Overview
Problem
Current cloud map processing methods face challenges in achieving accurate and efficient generation of spherical maps due to issues with uniform coordinate distribution and distortion, particularly at high latitudes, leading to increased resource consumption and reduced precision.
Innovation Solution
Construct a space coordinate system and local coordinate systems based on viewpoint positions, performing position transformations to sample cloud map data, thereby simplifying the process and improving accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If an infinite plane image is generated manually or by program with high precision, then sampling accuracy is improved, but storage overhead and generation resources increase significantly
Solution Approach 1:
The patent segments the spherical surface into multiple local tangent planes, each covering a specific region. Instead of generating one large high-precision plane image for the entire sphere, the system divides the sphere into multiple smaller regions (e.g., by latitude bands or viewing angles), generating smaller plane images for each segment. This reduces the storage overhead while maintaining sampling accuracy within each local region.
Solution Approach 2:
The patent transitions from a 2D plane coordinate system to a 3D spherical coordinate system with local tangent planes. By introducing the third dimension (viewing angle or latitude), the system can represent the spherical surface more efficiently, allowing high-precision sampling only where needed while reducing overall data storage requirements.
2Measurement precision
If an infinite plane image is generated with high precision, then cloud map processing accuracy is improved, but generation resources and time increase
Solution Approach 1:
The patent divides the spherical surface into multiple local regions, each with its own tangent plane and coordinate system. This segmentation allows the system to generate and process smaller plane images in parallel, significantly improving processing efficiency while maintaining high sampling accuracy within each local region.
Solution Approach 2:
The patent applies high-precision sampling only to the necessary local regions rather than the entire spherical surface. By focusing computational resources on specific areas of interest (e.g., regions with cloud formations or areas requiring detailed analysis), the system achieves high processing accuracy where needed while reducing overall generation time and resource consumption.
3Ease of operation
If longitude and latitude projections are used on a planar map, then sampling is simplified, but distortion occurs in high latitude regions reducing accuracy
Solution Approach 1:
The patent applies different coordinate systems to different regions of the spherical surface. For each local tangent plane, a specific projection method is used that minimizes distortion for that particular region. This local optimization ensures high sampling accuracy in each region while maintaining the simplicity of planar coordinate operations, avoiding the widespread distortion problems of global projections.
Solution Approach 2:
The patent segments the spherical surface into multiple local tangent planes, each handling a specific region with its own projection system. This segmentation allows the use of simple planar coordinates within each local region while avoiding the distortion issues of global projections, as each local plane only needs to accurately represent its small portion of the sphere.
4Reliability
If an entire spherical surface map is generated directly by modeling tool, then completeness is improved, but balance between precision and data volume deteriorates
Solution Approach 1:
The patent segments the spherical surface into multiple local tangent planes, each representing a portion of the sphere. This segmentation allows the system to maintain complete coverage of the spherical surface while using smaller, more manageable plane images for each segment, thereby reducing overall data volume while preserving map completeness.
Solution Approach 2:
The patent creates a universal coordinate transformation framework that can handle any spherical surface representation. The local tangent plane approach serves multiple functions: it maintains spherical coordinate accuracy, enables planar sampling operations, and reduces data volume. This multi-functional approach achieves completeness without proportionally increasing data storage requirements.
Data Source
AI summary
Some aspects of the disclosure provide a method of cloud map processing. In some examples, a basic cloud map is constructed in a space coordinate system. By using a viewpoint position on an object model in the space coordinate system as an origin, a local coordinate system associated with the viewpoint position is constructed, the local coordinate system includes a tangent plane to the object model at the viewpoint position. In the local coordinate system, sampling point position information of a first sampling point is obtained. Position transformation on the sampling point position information is performed to obtain cloud sampling position information of the basic cloud map. The basic cloud map is sampled based on the cloud sampling position information to obtain sampling cloud information of the first sampling point. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.