Vehicle Radar LOS NLOS Area Detection
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Solution Overview
Problem
Existing vehicle radar systems struggle to detect moving targets obscured by structures such as buildings, walls, and adjacent vehicles, leading to potential accidents due to the inability to differentiate between line of sight (LOS) and non-line of sight (NLOS) areas.
Innovation Solution
A vehicle radar system that acquires radar data, detects planes of structures, sets reference classification lines, and determines whether a moving target is in the LOS or NLOS area based on these lines, allowing for the differentiation between detectable and undetectable targets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a corner radar is mounted on the vehicle bumper to widen the detecting range, then the detection coverage is improved, but the ability to detect obscured targets in NLOS areas remains insufficient
Solution Approach 1:
The patent segments the detection space into LOS and NLOS areas by detecting planes of structures (buildings, walls, guardrails) and setting reference classification lines. This segmentation allows the system to differentiate between areas where direct radar detection is possible and areas requiring reflected signal analysis, thereby improving reliable detection in NLOS regions while maintaining the expanded coverage provided by corner radars.
Solution Approach 2:
The patent uses detected structure planes and reference classification lines as intermediaries to indirectly detect targets in NLOS areas. By analyzing the spatial relationship between these intermediaries and radar signals, the system can infer the presence of obscured targets without direct line-of-sight contact, resolving the limitation of corner radar detection in hidden areas.
2Measurement precision
If radar data is processed to detect structure planes and set reference classification lines, then the ability to differentiate LOS and NLOS areas is improved, but the system complexity increases
Solution Approach 1:
The patent performs preliminary detection of structure planes and pre-establishes reference classification lines before target detection. This preliminary action creates a prepared spatial framework that simplifies subsequent target classification, as the LOS/NLOS determination can then be made by comparing target positions against the pre-established reference lines rather than performing complex real-time calculations.
Solution Approach 2:
The patent introduces a new dimension of spatial analysis by detecting plane structures and creating reference classification lines in three-dimensional space. This dimensional approach transforms the traditional two-dimensional radar detection into a three-dimensional spatial reasoning problem, enabling more accurate LOS/NLOS differentiation through geometric relationships rather than simple signal strength analysis.
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 system effectively determines whether a moving target is within the LOS or NLOS area, enabling improved detection of obscured targets and reducing the risk of accidents by providing accurate information to the vehicle's autonomous driving system.
Implementation Method 1
acquiring radar data from a radar sensor disposed with respect to a vehicle
Data Source
AI summary
A method for detecting a moving target through a vehicle radar system includes acquiring radar data from a radar sensor disposed with respect to a vehicle, and using the radar data to detect a plane of a structure. The method also includes setting a reference classification line based on the detected plane, and determining whether the moving target is in a line of sight (LOS) area or a non-line of sight (NLOS) area based on the reference classification line.