Moving Object Detection Distance Invariance
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Solution Overview
Problem
Moving object detection systems often misrecognize multiple objects as a single object when they have the same velocity, leading to inaccurate detection.
Innovation Solution
The system determines whether reflection points correspond to a single moving object by assessing the variability of the distance between specific reflective portions over time, using modules to calculate and evaluate scenarios where the distance is fixed or varies, and applying statistical methods to differentiate between single and multiple objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If reflection points with substantially the same velocity are merged as a single moving object, then the number of detected objects is reduced, but different moving objects may be misrecognized as a single object
Solution Approach 1:
The patent transitions from one-dimensional velocity-based merging to two-dimensional merging criteria by incorporating both velocity similarity and distance invariance. This dimensional expansion allows the system to distinguish between objects with same velocity but different spatial relationships, preventing misrecognition while maintaining accurate merging of true single objects.
Solution Approach 2:
The system continuously monitors the distance between reflection points over time and uses this feedback to determine whether to merge or separate objects. By evaluating whether the distance varies over time, the system dynamically adjusts its merging decisions, providing feedback-based control that improves both reliability and measurement precision.
2Device complexity
If a region is defined and reflection points within the region are merged based on velocity similarity, then processing complexity is reduced, but misrecognition of multiple objects as single object increases
Solution Approach 1:
The patent performs preliminary velocity calculation for all reflection points and uses this pre-computed information to quickly identify candidate pairs for merging. This preliminary action reduces the search space and processing complexity while maintaining high reliability by ensuring that only velocity-similar points are considered for further distance-based evaluation.
Solution Approach 2:
The system dynamically evaluates the distance between reflection points over time rather than using static regional grouping. This dynamic approach adapts to changing object configurations, maintaining high object identification reliability while managing processing complexity through efficient temporal comparison of distance metrics.
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 reduces the occurrence of misrecognition, improving the accuracy of detecting moving objects by correctly identifying separate objects even when they have the same velocity.
Implementation Method 1
a radar device that transmits a radar wave and receives echoes that are generated based on the radar wave
Implementation Method 2
receives echoes that are generated based on the radar wave
Data Source
AI summary
In a system, a detecting module cyclically detects positional information of reflection points of received echoes. A sampling module cyclically samples, from the detected reflection points for each cycle, first and second reflection points. The first and second reflection points are expected to be reflection points of the respective first and second reflective portions of a moving object in front of the system. A first determining module determines whether a distance between the first and second reflection points varies over time. A second determining module determines that the first and second reflection points correspond to reflection points of the respective first and second reflective portions of a single moving object when it is determined that the distance between the first reflection point and the second reflection point is substantially invariant over time.