Object Moving Direction Estimation via Relative Speed Azimuth Analysis
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Solution Overview
Problem
Existing techniques for estimating the moving direction of an object require multiple iterations over time, making the process time-consuming.
Innovation Solution
An estimation apparatus with a same-object point information acquiring section, candidate estimating section, and direction estimating section that correlates horizontal azimuth with relative speed to estimate the moving direction of an object by observing relative speeds along arbitrary horizontal directions and determining candidate directions based on decreasing or increasing speeds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple iterations over time are performed to estimate moving direction, then estimation accuracy is improved, but estimation time increases
Solution Approach 1:
The patent transitions from temporal iteration to spatial analysis by examining relative speed distributions across multiple observation points in space. Instead of repeatedly measuring the same point over time, the system analyzes spatial patterns of relative speeds at multiple azimuths simultaneously, achieving accurate estimation without time-consuming iterations.
Solution Approach 2:
The patent changes the measurement parameter from single-point repeated observation to multi-point relative speed distribution analysis. By analyzing how relative speeds vary across different azimuths and observation points, the system extracts moving direction information from spatial parameter variations rather than temporal repetitions.
2Measurement precision
If information is acquired from multiple observation points on the same object, then estimation accuracy is improved, but data processing complexity increases
Solution Approach 1:
The patent replaces complex mechanical or computational tracking systems with a statistical analysis approach. By applying probability theory to analyze the distribution of relative speeds across observation points, the system simplifies the processing complexity while maintaining high estimation accuracy through mathematical modeling rather than complex data correlation.
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
Enables the estimation of the moving direction of an object in a shorter time by acquiring information from observation points located on the same object, improving accuracy and reducing the need for multiple iterations.
Implementation Method 1
a radar-wave transmitting and receiving task enables a distance to an object and an azimuth of the object around the vehicle to be detected
Implementation Method 2
each of the same-object points has reflected a radar wave
Data Source
AI summary
An estimation apparatus of the present disclosure includes a same-object point information acquiring section, a candidate estimating section, and a direction estimating section. The candidate estimating section estimates, as a candidate direction, a direction that is matched with an arbitrary horizontal direction upon determining that the relative speeds gradually decrease along the arbitrary horizontal direction. The candidate estimating section estimates, as the candidate direction, an opposite direction of the arbitrary horizontal direction upon determining that the relative speeds gradually increases along the arbitrary horizontal direction. The direction estimating section estimates a moving direction of the same object based on the candidate direction.