Radar Device Discriminating Upper Objects Using Power Distance Analysis
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Solution Overview
Problem
Current radar devices have insufficient accuracy in distinguishing between stationary objects and upper objects, often erroneously detecting upper objects as stationary, which can lead to incorrect vehicle control decisions.
Innovation Solution
A radar device equipped with a deriving unit to detect target distances, an acquiring unit to identify maximum and minimum reception power distances, and a determining unit to differentiate between stationary objects and upper objects based on these distances, using statistical models and Bayesian filtering to improve discrimination accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a radar device transmits waves to detect targets and derives detection distances based on reception signals, then target location information can be obtained, but the accuracy in discriminating between stationary objects and upper objects is insufficient
Solution Approach 1:
The patent introduces a new dimension of analysis by examining the relationship between maximum and minimum reception power distances. Instead of relying solely on single-distance detection, the system analyzes the distance difference (Δd) between where maximum reception power occurs and where minimum reception power occurs. This dimensional transformation enables discrimination between stationary objects and upper objects based on their distinct distance relationship patterns, thereby improving classification accuracy without requiring additional hardware.
2Reliability
If the radar device uses conventional target detection methods, then detection speed is maintained, but upper objects are erroneously detected as stationary objects
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing the relationship between distance differences (Δd) and target types in a lookup table or database. During actual detection, the system simply queries this pre-prepared information based on the measured Δd value, rather than performing complex real-time analysis. This approach significantly reduces computational complexity while maintaining high classification reliability, as the discrimination logic has been prepared in advance through offline analysis of reception power patterns.
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
The solution enables precise discrimination between stationary vehicles and upper objects, enhancing the accuracy of vehicle control systems to prevent collisions and ensure safe travel.
Implementation Method 1
a radar device installed on the front side of the vehicle body of a vehicle or the like outputs a transmission wave to a transmission range outside the vehicle, and receives the reflected waves from targets
Implementation Method 2
receives the reflected waves from targets
Data Source
AI summary
A radar device includes: a deriving unit configured to derive detection distances of a target existing in an area near a vehicle equipped with the radar device, based on reception signals acquired by transmitting a radar transmission wave to the area near the vehicle and receiving a reflected wave from the target; an acquiring unit configured to acquire a distance at which a maximum value of reception powers was detected, and a distance at which a minimum value of the reception powers was detected, among the detection distances sequentially derived by the deriving unit; and a determining unit configured to determine whether the target is an upper object which will not collide with the vehicle, based on the distances acquired by the acquiring unit.