Sensor Reliability Correction for Dynamic Object Detection
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Solution Overview
Problem
Conventional target detection devices face challenges in maintaining sensor reliability, especially in dynamic environments where sensor characteristics deteriorate quickly, making it difficult to achieve optimal fusion results without pre-setting parameters for various use scenes, which is impractical due to high data collection and implementation costs.
Innovation Solution
A target detection device that includes a fusion processing unit, a false detection estimation unit, a false detection probability calculation unit, and a reliability correction unit to dynamically adjust sensor reliability based on false detection rates, improving fusion results by correcting sensor reliability in real-time according to the use scene.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor reliability is set in advance for specific use scenes, then characteristic deterioration can be prevented in those scenes, but it is difficult to prevent deterioration in scenes that occur rapidly or are hard to detect
Solution Approach 1:
The patent implements dynamic reliability adjustment by continuously monitoring detection results and updating sensor reliability weights in real-time based on actual performance, allowing the system to adapt to rapidly changing scenes without pre-setting parameters for all possible conditions
Solution Approach 2:
The system establishes a feedback mechanism where detection results are used to evaluate sensor performance, and this evaluation feeds back to adjust reliability settings, enabling the system to automatically adapt to changing use scenes without manual intervention
2Adaptability or versatility
If parameters are set in advance for a very large number of use scenes, then coverage of different scenes improves, but data collection and implementation costs increase significantly
Solution Approach 1:
The system performs self-adjustment of sensor reliability parameters by automatically evaluating detection results and updating weights without requiring external configuration or manual parameter setting for each use scene, eliminating the need for extensive data collection and implementation efforts
Solution Approach 2:
The patent dynamically changes sensor reliability parameters based on actual detection performance rather than using fixed pre-set values, allowing the system to adapt to different use scenes through automatic parameter adjustment rather than maintaining multiple pre-configured parameter sets
Data Source
AI summary
A target detection device includes a fusion processing unit that processes fusion and outputs a prediction value of a target after fusion, a false detection estimation unit that estimates false detection for each target based on an observation value and a prediction value and outputs a false detection estimation result, a false detection probability calculation unit that calculates a false detection rate for each sensor based on the false detection estimation result, and a reliability correction unit that corrects reliability of a sensor defined in advance based on the false detection rate and outputs the corrected reliability. The fusion processing unit processes fusion based on the prediction value, the false detection estimation result, and the corrected reliability.