Radar Object Detection System with Dynamic Area of Interest
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Solution Overview
Problem
Existing radar systems have a fixed detection range, which leads to unnecessary data processing and increased time and cost, as data from entire detection ranges are signal-processed, including unnecessary ranges.
Innovation Solution
An object information generating system that actively changes its detection range based on the surrounding environment by identifying blind areas caused by fixed objects and determining the area of interest within the field of view, thereby focusing signal processing only on the area of interest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the radar system processes signals from the entire detection range, then all areas including blind areas are covered, but unnecessary data processing increases time and cost
Solution Approach 1:
The detection range is segmented into multiple sub-ranges, and the processor identifies blind areas caused by fixed objects. The system then processes signals only from the area of interest (non-blind areas), excluding unnecessary regions. This segmentation allows the system to maintain detection coverage in relevant areas while reducing processing time by excluding blind areas.
Solution Approach 2:
The system dynamically adjusts the detection range based on the identification of blind areas. The processor determines the area of interest by excluding blind areas from the full detection range, and the radar antenna is controlled to scan only the area of interest. This dynamic adjustment allows the system to adapt to different environmental conditions and reduce processing time while maintaining reliability.
2Reliability
If the radar system processes signals from the entire detection range, then complete area coverage is achieved, but processing cost increases
Solution Approach 1:
The detection range is divided into blind areas and area of interest. The processor identifies blind areas caused by fixed objects and excludes them from processing. This segmentation enables the system to maintain detection coverage in relevant areas while improving processing efficiency by avoiding unnecessary processing in blind areas.
Solution Approach 2:
The system dynamically determines the area of interest by excluding blind areas from the full detection range. The radar antenna scanning is adjusted to cover only the area of interest, and signal processing is performed only on returns from this area. This dynamic approach improves processing efficiency while maintaining detection coverage where needed.
3Ease of operation
If the detection range is fixed, then the system is simple to operate, but the system cannot adapt to different environments and reduces processing load
Solution Approach 1:
The detection range is made dynamic rather than fixed. The processor automatically identifies blind areas caused by fixed objects and determines the area of interest. The radar antenna scanning is dynamically adjusted to cover only the area of interest, and signal processing is performed only on relevant returns. This dynamic adjustment improves processing efficiency while maintaining ease of operation through automated control.
Solution Approach 2:
The system performs self-adjustment by automatically identifying blind areas and determining the area of interest without external intervention. The processor uses the radar returns and environmental information to autonomously determine which areas to scan and process, reducing the need for manual configuration while improving processing efficiency.
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 amount of data to be processed during signal processing and decreases calculation time, enhancing the efficiency of the object information generating system.
Implementation Method 1
Radio detecting and ranging (RADAR) is a detection system to measure a distance to, a direction of, and the like of an object through the emission of electromagnetic waves to the object and reception of the electromagnetic waves reflected from the object
Implementation Method 2
The object detector may comprise at least one of a radar, a LiDar, and a camera
Data Source
AI summary
Proposed is an object information generating system including an object detector generating object information on the basis of object detection signals and a processor controlling the object detector. The processor determines an area of interest of a field of view (FOV) of the object detector and generates the object information for the area of interest with the object detector.