Multi-Sensor Object Integration Prioritization Under Cycle Limits
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems fail to complete integration processing within a processing cycle when a large amount of target information is input, leading to potential erroneous control determinations and low reliability in target association and position estimation.
Innovation Solution
An information processing device that sets weights to object information based on integration history and ends processing within a cycle based on time or object count, using a weight setting unit and integration processing unit to manage target information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If integration processing is performed on all detected targets, then processing completeness is improved, but processing time exceeds the given execution cycle
Solution Approach 1:
The patent segments the integration processing into multiple stages: first processing high-priority targets within the execution cycle, then processing remaining lower-priority targets in subsequent cycles. This segmentation allows the system to guarantee completion of critical processing while deferring non-critical processing, thus resolving the contradiction between processing completeness and execution time constraints.
Solution Approach 2:
The patent implements periodic processing cycles where integration processing is performed in repeated intervals. High-priority targets are processed in each cycle, and lower-priority targets are processed in alternating or subsequent cycles. This periodic approach ensures that time-critical processing is always completed while eventually processing all targets across multiple cycles.
2Productivity
If priority-based processing is implemented, then processing efficiency is improved, but reliability of target association deteriorates when processing is skipped
Solution Approach 1:
The patent performs preliminary processing of high-priority targets at the beginning of each execution cycle before lower-priority targets are considered. By identifying and processing critical targets first with sufficient computational resources, the system ensures that time-sensitive and safety-critical associations are made with high reliability, while lower-priority targets receive processing in remaining time or subsequent cycles.
Solution Approach 2:
The patent implements a feedback mechanism where the system monitors processing completion status and target priorities dynamically. When lower-priority targets remain unprocessed, the system uses feedback from previous cycles to continue their processing in subsequent cycles, ensuring that all targets eventually receive integration processing and association is maintained reliably across multiple cycles.
3Measurement precision
If all target information is processed in one cycle, then processing accuracy is improved, but the system cannot handle large amounts of target information within the execution cycle
Solution Approach 1:
The patent segments the large volume of target information into priority-based groups. High-priority targets with critical association requirements are processed first with full integration accuracy, while lower-priority targets are processed in subsequent cycles. This segmentation allows the system to maintain high processing accuracy for critical targets while managing the overall quantity of information through multi-cycle processing.
Solution Approach 2:
The patent applies different processing quality levels to different targets based on their priority and association requirements. High-priority targets receive complete integration processing with maximum accuracy in the current cycle, while lower-priority targets receive deferred processing. This local quality differentiation ensures that processing accuracy is optimized where it matters most while managing computational resources efficiently.
Data Source
AI summary
An information processing device that generates integration information by performing integration processing of object information acquired by a plurality of sensors that detect an object for each cycle includes a weight setting unit that sets a weight to the object information, and an integration processing unit that generates integration information by performing integration processing of the object information in a processing order determined by at least the weight, and ends the integration processing of the current cycle in accordance with a lapse of time or the number of objects related to the object information used for the integration processing of the current cycle. The weight setting unit sets the weight of the object information based on an integration history indicating whether or not the object information has been used for the integration processing for each cycle.


