Vehicle Point Cloud Projection With Attribute-Preserving Pixel Mapping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for compressing point cloud data into two-dimensional images fail to retain attribute information beyond position data, leading to incomplete representation of objects.
Innovation Solution
Assign attribute information to each ranging point based on imaging unit data or point cloud data, calculate distance and direction, and generate a two-dimensional image with pixel values incorporating this information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If point cloud data is converted to two-dimensional image using only position information, then data volume is reduced and compression is enabled, but attribute information other than position is lost
Solution Approach 1:
The patent merges multiple data sources (imaging unit data and sensor data) to enrich the two-dimensional image with attribute information. By combining the positional data from point cloud conversion with attribute data from imaging units and sensors, the system achieves both data compression and information retention simultaneously
Solution Approach 2:
The patent introduces an intermediary processing layer that maps attribute information from multiple sensors and imaging units to the two-dimensional image space. This intermediary mechanism allows attribute information to be integrated into the compressed image format without losing data
2Measurement precision
If multiple imaging units and sensors are used to retain attribute information, then object recognition accuracy is improved, but system complexity increases
Solution Approach 1:
The patent creates a universal processing framework that handles multiple imaging units and sensors through a common coordinate transformation and attribute mapping mechanism. This multi-functional approach allows the system to process diverse data sources using unified algorithms, reducing the practical complexity despite having multiple components
Solution Approach 2:
The patent segments the complex processing task into distinct modules: coordinate transformation module, attribute information mapping module, and image generation module. This segmentation allows each component to be optimized independently and simplifies the overall system architecture and maintenance
Data Source
AI summary
An information processing method and an information processing device assign attribute information to each ranging point based on an image obtained by capturing an image of surroundings of a vehicle using an imaging unit, or based on point cloud data related to ranging points around the vehicle generated by a sensor, calculate a distance from the imaging unit to the ranging point and a direction of the ranging point as viewed from the imaging unit based on the point cloud data, calculate a pixel value for each ranging point based on the distance to the ranging point and the attribute information, and generate a two-dimensional image in which pixel corresponding to the direction of the ranging point has the pixel value.