Angle-Resolving Radar Vehicle Classification
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Solution Overview
Problem
Existing methods for classifying vehicles in traffic using radar technology face challenges in accurately distinguishing between multiple vehicles within a radar cone, leading to unreliable classification due to error influences from mutual covering and shadowing effects.
Innovation Solution
An angle-resolving radar device is positioned at a horizontal acute angle relative to the roadway, emitting radar radiation that forms a cone and recording measurement signals from vehicles as they pass through, which are then analyzed to form spectrograms for classification by comparing their frequency bandwidths and signal characteristics with stored models for different vehicle classes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If radar radiation is directed obliquely at vehicles to measure vehicle length, then vehicle length can be determined, but shadowing by parts of the vehicles leads to inaccurate measurements
Solution Approach 1:
The patent transitions from one-dimensional length measurement to three-dimensional object characterization by detecting radial distances, object angles, and signal amplitudes across multiple dimensions, enabling accurate classification without being affected by shadowing in a single measurement dimension
Solution Approach 2:
The patent changes the measurement parameters from solely vehicle length to a combination of radial distances, object angles, and signal amplitudes, transforming the measurement approach to avoid the shadowing problem while maintaining classification accuracy
2Area of stationary object
If multiple vehicles are simultaneously within the radar cone, then traffic monitoring coverage is improved, but reliable classification becomes difficult due to inability to distinguish individual vehicles
Solution Approach 1:
The patent segments the radar signal into multiple independent measurement components (radial distance, object angle, signal amplitude) for each detected object, allowing individual vehicle identification and classification even when multiple vehicles are present within the radar cone
Solution Approach 2:
The patent adds angular dimension (object angle) to the measurement space, transforming the radar detection from range-only to range-angle-space, which provides spatial resolution to distinguish and classify multiple vehicles simultaneously within the radar cone
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 method enables reliable classification of vehicles by accurately determining radial distances, object angles, and signal amplitudes, allowing for precise assignment to vehicle classes even when multiple vehicles are present within the radar cone, improving accuracy and reducing errors.
Implementation Method 1
surfaces of the vehicles exposed to radar radiation reflect the radar radiation and generate measurement signals with frequencies corresponding to the Doppler shift
Implementation Method 2
an angle-resolving radar device, from which radial distances, object angles and radial velocities can be derived
Data Source
Figure 1
Figure 2
Figure 3a~3c
AI summary
The method involves emitting a radar beam to form radar radiation by a radar apparatus. Rating regions (BB) are compared with spectrographs stored in the rating regions for various vehicle classes to classify a passing vehicle (3). Object angles are derived from measurement signals (4) to a relevant valuation point (tB) within the rating regions with maximum bandwidth. The object angles for the relevant valuation point are stored based on frequency. Course of function is compared with comparison models stored for various vehicle classes to verify classification of the vehicle.