Vehicle Recognition Using Radar Weak-Reflection Point Supplementation
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Solution Overview
Problem
Existing vehicle recognition systems using radar systems face challenges in accurately detecting vehicles when the intensity of reflected electromagnetic waves is insufficient, due to factors like reflectance, radiation angle, and distance, leading to incomplete detection patterns.
Innovation Solution
A vehicle recognition apparatus that processes data from a radar system using a processor to determine distances, reflection points, and common reflection points, and supplements weak-reflection points to generate a complete vehicle contour, even when intensity is low, by assuming a rectangular vehicle shape and calculating additional reflection points based on continuous reflection directions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If laser beam scanning is used to detect vehicle contours, then vehicle recognition capability is improved, but detection accuracy deteriorates when reflected wave intensity is insufficient
Solution Approach 1:
The system performs preliminary actions by determining distances to stationary objects in all radiation directions before detecting reflection points. This allows the system to establish a reference framework in advance, enabling it to identify and compensate for weak reflection areas by comparing against the pre-established distance map and reflection point patterns from other directions.
Solution Approach 2:
The system uses stationary objects as intermediaries to indirectly detect vehicle contours. By first mapping the environment using stationary objects and then identifying reflection points relative to this map, the system can infer vehicle boundaries even when direct reflection from vehicle surfaces is weak, using the stationary objects as reference mediators.
2Measurement precision
If reflection wave intensity threshold is set high, then detection precision is improved, but detection completeness deteriorates due to missed weak reflections
Solution Approach 1:
The system performs preliminary detection in all radiation directions to map the complete environment before final vehicle contour determination. This preliminary action captures weak reflections that might be missed during primary detection, ensuring no information is lost while maintaining precision through subsequent filtering and comparison against the comprehensive preliminary data.
Solution Approach 2:
The system performs excessive detection by scanning all radiation directions and identifying all potential reflection points, including those with weak reflections. This excessive action ensures complete information capture, and then applies precision filtering to distinguish valid weak reflections from noise, achieving both completeness and precision.
3Loss of information
If detection covers all radiation directions, then detection completeness is improved, but processing complexity increases
Solution Approach 1:
The system segments the detection process into distinct stages: first determining distances to stationary objects in all directions, then identifying reflection points, then grouping them by vehicle, and finally determining contours. This segmentation allows comprehensive detection while managing complexity through structured, modular processing steps.
Solution Approach 2:
The system performs preliminary organization of detection data by grouping reflection points into stationary object groups and vehicle groups before final contour determination. This preliminary organization structures the comprehensive detection data in advance, reducing the complexity of subsequent processing steps while maintaining complete information.
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
Enables reliable recognition of vehicles even when parts do not reflect electromagnetic waves at sufficient intensities, improving detection accuracy and completeness by compensating for weak-reflection points, thus enhancing vehicle identification in various scenarios.
Implementation Method 1
a radar apparatus which radiates electromagnetic waves to a detection area at intervals for scanning the detection area, receiving reflection waves at the intervals
Implementation Method 2
receiving reflection waves at the intervals
Data Source
AI summary
A method and apparatus for vehicle recognition are provided, which are combined with a radar apparatus scanning a detection area with electromagnetic waves. Data derived from reflection waves are outputted from the radar apparatus to the vehicle recognizing apparatus to detect a vehicle in the detection area. The vehicle recognizing apparatus is provided with a processor performing a process for the recognition on calculation of the received data for the recognition of vehicles. In the process, weak-refection directions providing weak-reflection points on a vehicle are determined which are defined as radiation directions of the electromagnetic waves in which the reflection waves have intensities lower than a threshold. A common reflection point group defined as a group of reflection points belonging to the same vehicle is supplemented with the weak-reflection points for completing the common reflection point group.