Adaptive Front-Region Radar Scanning for Collision-Priority Resolution
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Solution Overview
Problem
Current radar apparatuses lack the ability to dynamically adjust local resolution based on the velocity and distance information of front objects, which can lead to inefficient scanning and increased computational load when monitoring multiple vehicles with varying relative velocities and distances.
Innovation Solution
The radar apparatus includes a processor that controls the transmitter to adjust scanning resolutions based on relative velocity ranges and distances of front objects, using methods like FMCW or FSK to extract velocity information and determine collision possibilities, allowing for adaptive scanning resolutions to prioritize higher resolution on potentially colliding objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the radar apparatus scans all front regions at high resolution, then measurement precision is improved, but productivity deteriorates due to increased number of measurements required
Solution Approach 1:
The patent applies local quality by differentiating scanning resolution based on spatial location and object characteristics. High resolution scanning is applied only to regions containing objects with high collision probability (e.g., objects with relative velocity above threshold), while low resolution scanning is used for other regions. This resolves the contradiction by making resolution local rather than uniform, improving precision where needed while maintaining productivity overall.
Solution Approach 2:
The patent implements dynamic scanning resolution that adapts based on detected object characteristics. The system dynamically adjusts resolution levels based on real-time velocity and position information of detected objects, transitioning between high and low resolution modes as objects enter or leave critical zones. This dynamic adaptation resolves the contradiction by optimizing precision only when and where collision risk exists.
2Measurement precision
If the radar apparatus increases scanning resolution for all objects, then measurement precision is improved, but use of energy worsens due to increased computational load
Solution Approach 1:
The patent applies local quality by differentiating computational resources based on object characteristics. High precision velocity and distance extraction is performed only for objects in critical regions (high collision probability), while simplified processing is used for other objects. This resolves the energy-precision contradiction by concentrating computational energy where measurement precision is most critical for safety.
Solution Approach 2:
The system dynamically adjusts processing intensity based on object velocity and position. When objects enter high-risk zones or exhibit high relative velocity, the system increases computational precision for velocity and distance extraction. For objects in low-risk zones, processing is reduced. This dynamic approach resolves the contradiction by matching energy consumption to actual measurement needs.
3Productivity
If the radar apparatus uses low scanning resolution to reduce measurements, then productivity is improved, but measurement precision deteriorates
Solution Approach 1:
The patent applies local quality by implementing a two-tier scanning system: low resolution scanning covers the entire front region for efficient productivity, while high resolution scanning is selectively applied to regions containing objects with high collision probability. This resolves the contradiction by maintaining overall productivity while ensuring precision is preserved for critical collision detection scenarios.
Solution Approach 2:
The system performs preliminary low-resolution scanning to identify objects of interest, then applies high-resolution scanning only to those specific regions where collision risk exists. This preliminary action approach resolves the contradiction by using low-resolution scanning as a screening mechanism that maintains productivity while triggering precision measurements only when necessary for collision detection.
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 enables efficient scanning of front regions by allocating higher resolutions to objects with higher collision probabilities and lower resolutions to those with lower probabilities, reducing the overall number of measurements needed per hour and improving collision detection accuracy.
Implementation Method 1
a transmitter configured to transmit electromagnetic waves; a receiver configured to receive the electromagnetic waves that are reflected
Implementation Method 2
extract a relative velocity, with respect to the radar apparatus, of at least one front object based on the electromagnetic waves received by the receiver
Data Source
AI summary
A radar apparatus includes a transmitter configured to transmit electromagnetic waves; a receiver configured to receive electromagnetic waves that are reflected; and a processor configured to extract a relative velocity, with respect to the radar apparatus, of at least one front object based on the electromagnetic waves received by the receiver, wherein the processor is further configured to locally adjust respective resolutions of scanning front regions based on the relative velocity of the at least one front object.