Vehicle Control Unit Environment Data Segmentation for Parallel Processing
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Solution Overview
Problem
Current vehicle systems face challenges in performing a reliable and precise analysis of driving situations due to the need for real-time processing, which often results in a reduction of environmental data volume, leading to qualitatively poorer results.
Innovation Solution
The method involves breaking down environmental data into temporally and logically independent segment records, allowing for parallel processing across multiple calculations, utilizing a graphics processor to maintain high processing detail and data volume, thereby enabling detailed analysis without data abstraction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If environmental data is reduced to a subset through preselection to enable fast calculation, then real-time processing capability is improved, but measurement precision and analysis quality deteriorate
Solution Approach 1:
The evaluation process is divided into multiple independent evaluation steps that can be executed in parallel. Each step processes a specific aspect of the environmental data (e.g., obstacle detection, trajectory prediction, risk assessment) simultaneously, allowing full data to be analyzed without reduction while maintaining real-time processing capability through parallel computation architecture
Solution Approach 2:
The patent transitions from sequential single-threaded processing to parallel multi-threaded processing architecture. By utilizing graphics processing units (GPUs) or multi-core processors, the system evaluates environmental data across multiple computational dimensions simultaneously, achieving both high processing detail and real-time performance without data reduction
2Measurement precision
If processing detail is increased to improve analysis quality, then measurement precision is improved, but calculation time increases and real-time capability is lost
Solution Approach 1:
The complex evaluation process is segmented into multiple independent evaluation steps (e.g., environmental perception, obstacle identification, trajectory prediction, risk assessment). Each segment processes specific aspects of environmental data in parallel, maintaining high processing detail while reducing overall processing time through simultaneous execution of multiple evaluation threads
Solution Approach 2:
The system creates multiple parallel copies of the evaluation process, each handling different aspects or portions of the environmental data simultaneously. This parallel copying approach allows comprehensive analysis of all environmental data without sequential processing delays, achieving both high detail and real-time performance
Data Source
Figure 1
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AI summary
The invention relates to a method for evaluating environment data, which are at least partially derived from sensor data of at least one environment sensor (8), in a control unit of a motor vehicle (7), wherein at least one evaluation step uses an environment data set (13) as input data, wherein the environment data set (13) is broken down into temporally and logically independent segment data sets (5), which are evaluated in the evaluation step at least partially in temporally parallelized partial steps (6, S3) by using a parallel processing architecture (11) which, in particular, permits more than 100 temporally parallel computations.