Radar Standstill Target Tracking Suppression
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Solution Overview
Problem
Radar systems struggle to maintain accurate tracking of standstill targets, such as parking blocks or walls, when they fall out of the field of view and re-enter, leading to incorrect identification as new targets and reduced priority in external systems like Autonomous Emergency Braking.
Innovation Solution
The radar apparatus incorporates a classification system that suppresses the lost process for standstill targets, allowing continued tracking even when they fall out of detection range, and uses non-volatile storage to maintain target information, with optional exceptions for other radar systems or positional changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the lost process is executed when a target falls out of the FOV, then the tracking is stopped to avoid false detection, but the standstill target cannot be recognized when it re-enters the FOV
Solution Approach 1:
The patent applies different lost process suppression strategies to different target types. Standstill targets have their lost process suppressed more greatly than moving targets, allowing standstill targets to maintain tracking information even when out of FOV, while moving targets still undergo normal lost process execution. This local differentiation resolves the contradiction by preserving standstill target information without compromising overall tracking accuracy.
Solution Approach 2:
The system dynamically adjusts the lost process execution based on target classification. When a target is classified as standstill, the lost process is suppressed more greatly compared to moving targets. This dynamic adaptation allows the system to maintain tracking of standstill targets that may temporarily leave the FOV, while still executing lost processes for moving targets where continuous verification is more critical.
2Measurement precision
If the lost process is executed immediately when a standstill target falls out of the FOV, then false detection is avoided, but the target is detected as a new target when re-entering, lowering priority
Solution Approach 1:
The patent implements targeted lost process suppression specifically for standstill targets rather than all targets uniformly. This local quality approach allows standstill targets to maintain their tracking status and priority information even when temporarily out of FOV, while moving targets still undergo standard lost process execution. When standstill targets re-enter the FOV, they are recognized as continuing tracks rather than new targets, preserving their priority for external systems.
Solution Approach 2:
The system performs preliminary classification of targets as standstill or moving before executing the lost process. This preliminary action allows the system to prepare different lost process suppression levels in advance, ensuring that when a standstill target falls out of and re-enters the FOV, the tracking continuity is already established and priority is maintained.
Data Source
AI summary
A radar apparatus includes: a derivation portion that derives an instantaneous value of a target; a tracking portion that tracks a single target based on a derivation result of the derivation portion; a lost process portion that performs a lost process to stop the single target from being tracked by the tracking portion; and a target classification portion that classifies the single target into a standstill target or a moving target; and, when the single target is the standstill target, the lost process portion suppresses generation of the lost process more greatly than when the single target is the moving target.