Extended Object Tracking Device Using Velocity-Based Reflection Source Segmentation
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Solution Overview
Problem
Current extended object tracking (EOT) methods face challenges in maintaining tracking accuracy while reducing calculation load, particularly when using two-dimensional position information and struggling to narrow down reflection sources, which increases the calculation cost.
Innovation Solution
A tracking device and method that estimates the target object's state using dimensional information including relative velocity, assumes multiple reflection sources, and updates the estimation state based on state validity, incorporating the difference between projected reflection source information and observation data to enhance accuracy and reduce computational load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple reflection sources are assumed to maintain tracking accuracy, then measurement precision is improved, but calculation load increases
Solution Approach 1:
The patent segments the reflection source identification process by assuming multiple reflection sources and evaluating each one's contribution to observation points. This allows the system to divide the complex tracking problem into manageable segments, where each reflection source is processed independently through validity acquisition and state updating, thereby maintaining accuracy while controlling computational complexity.
Solution Approach 2:
The patent applies partial action by assuming multiple reflection sources but not all possible sources. Instead of exhaustively processing every potential reflection source, the system selectively processes a subset that contributes significantly to tracking accuracy, thus achieving good enough results with reduced calculation load.
2Measurement precision
If dimensional information including relative velocity is used, then measurement precision is improved, but difficulty of detecting and measuring increases
Solution Approach 1:
The patent transitions from two-dimensional position information to three-dimensional observation space by incorporating relative velocity as an additional dimension. This dimensional expansion allows the system to represent target states more comprehensively, improving tracking accuracy while the structured approach to handling the additional dimension keeps processing manageable.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach achieves high tracking accuracy while minimizing calculation load by accurately updating the estimation state using the validity of multiple reflection sources, effectively addressing the limitations of existing EOT methods.
Implementation Method 1
a sensing device that observes a reflection wave from the target object
Data Source
AI summary
A target object is tracked based on dimensional information of an observation space including a relative velocity of the target object with respect to a sensing device for observing a reflection wave from the target object. An estimation state is acquired by estimating a state of the target object at a specific time. A reflection source of the reflection wave that gives an observation point observed at the specific time is assumed with respect to the estimation state. A state validity of the estimation state is acquired. The estimation state is updated based on the state validity expressed including a difference between dimensional information of the reflection source projected onto the observation space in the estimation state and the observation information.