Radar Point-Group Superimposition for Object Shape Detection
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Solution Overview
Problem
Existing radar technologies face challenges in accurately detecting objects due to limitations in spatial density of point groups, which affect the ability to determine the shape and size of detected objects.
Innovation Solution
The electronic device employs a signal processor to perform point group superimposition processing, adjusting the number of frames based on the velocity of the host vehicle and determining whether objects are stationary or moving, thereby enhancing the spatial density of point groups and improving detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional radar detection methods are used, then the detection process is simple, but the spatial density of point groups is insufficient leading to poor object shape and size determination
Solution Approach 1:
The patent performs preliminary classification of objects into stationary and moving categories before point group superimposition. By pre-identifying stationary objects using velocity information, the system prepares the data structure needed for high-density point group accumulation, enabling improved measurement precision without overwhelming processing complexity during real-time operation
Solution Approach 2:
The patent segments the detection process into distinct stages: velocity-based object classification, stationary object identification, and point group superimposition. This segmentation allows each processing stage to be optimized independently, achieving high spatial density point groups while managing computational complexity through modular processing
2Measurement precision
If point group superimposition processing is performed for all detected objects, then the spatial density of point groups increases, but the processing load increases significantly
Solution Approach 1:
The patent applies point group superimposition processing selectively only to stationary objects rather than all detected objects. By using velocity information to identify stationary objects locally, the system concentrates processing resources where they are most beneficial, achieving high spatial density point groups for stationary objects while minimizing overall processing load
Solution Approach 2:
The patent uses velocity as a key parameter to differentiate between stationary and moving objects. By changing the processing approach based on velocity parameter thresholds, the system enables high-density point group accumulation for stationary objects while avoiding unnecessary processing for moving objects, thus reducing overall computational power requirements
3Measurement precision
If velocity-based object classification is implemented, then the accuracy of stationary object detection improves, but the computational requirements increase
Solution Approach 1:
The patent replaces complex mechanical or hardware-based stationary object detection mechanisms with signal processing-based velocity analysis. By using Doppler velocity information from radar signals to classify objects, the system achieves high detection accuracy through computational methods rather than physical mechanisms, balancing precision with manageable system complexity
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 increases the spatial density of point groups, allowing for more accurate determination of object shape and size by effectively distinguishing between stationary and moving objects, thereby enhancing detection accuracy.
Implementation Method 1
a transmission antenna 24 to transmit a transmission wave
Implementation Method 2
a reception antenna 31 to receive a reflection wave resulting from reflection of the transmission wave
Data Source
AI summary
An electronic device includes a transmission antenna, a reception antenna, and a signal processor. The transmission antenna is configured to transmit a transmission wave. The reception antenna is configured to receive a reflection wave resulting from reflection of the transmission wave. The signal processor is configured to detect an object based on a transmission signal transmitted as the transmission wave and a reception signal received as the reflection wave. The signal processor is configured to output information regarding a point group representing the position of an object determined to be a stationary object based on the velocity of the object and the velocity of the electronic device.