Object Detection Device Adaptive Range Selection
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Solution Overview
Problem
Current object detection systems for vehicles face challenges in precisely and efficiently recognizing objects around vehicles, particularly in autonomous driving systems, where accurate and rapid detection is crucial for safe navigation and control.
Innovation Solution
An object detection device comprising a first sensor for emitting and receiving radio frequency signals, a second sensor for obtaining physical characteristics, and an estimator that uses a calculation range selector to perform calculations only on a selected reference range, employing algorithms like MUSIC to estimate object positions, thereby reducing computational load and maintaining accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If full-range calculation is performed for object detection, then detection accuracy is improved, but computational load increases
Solution Approach 1:
The calculation range is segmented into a first reference range and a second reference range based on measurement values from a second sensor. The estimator performs calculations only within the first reference range initially, then extends to the second range if needed. This segmentation reduces the computational domain while maintaining detection accuracy through adaptive range selection.
Solution Approach 2:
The system performs partial calculation by limiting the initial estimation to only the first reference range rather than processing the entire possible range. This partial action reduces computational load significantly while still achieving accurate detection for objects within the primary range, with the option to extend calculation if objects are detected near the boundaries.
2Productivity
If calculation range is reduced to lower computational load, then processing speed is improved, but detection accuracy may deteriorate
Solution Approach 1:
The calculation range is made dynamic through adaptive adjustment. The estimator initially operates on the first reference range for fast processing. When objects are detected near the boundaries of this range, the system dynamically extends the calculation to the second reference range, ensuring no objects are missed while maintaining high processing efficiency for most cases.
Solution Approach 2:
The system performs preliminary calculation on the first reference range before considering extension to the second range. This preliminary action quickly identifies most objects and determines whether boundary extension is necessary, optimizing the balance between processing speed and detection accuracy by avoiding unnecessary full-range calculations.
3Reliability
If multiple sensors are used for comprehensive detection, then detection reliability is improved, but device complexity increases
Solution Approach 1:
The system merges the functionality of multiple sensors (first sensor for RF signals and second sensor for physical characteristics) into a unified detection framework. The measurement values from both sensors are integrated to determine the calculation range, combining their complementary strengths to improve detection reliability while managing system complexity through coordinated operation.
Solution Approach 2:
The calculation range selector acts as an intermediary that processes measurement values from both sensors and determines the appropriate calculation range. This intermediary component coordinates the information from multiple sensors, enabling reliable object detection while simplifying the overall system architecture by providing a clear interface between sensor inputs and estimation processing.
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 rapid and efficient object detection with maintained performance and accuracy, reducing the computational burden and enhancing the reliability of object position estimation in vehicle control systems.
Implementation Method 1
The first sensor outputs a radio frequency (RF) signal, receives a reflected RF signal reflected from an object
Data Source
AI summary
An object detection device includes a first sensor, a second sensor, a calculation range selector and an estimator. The first sensor outputs a radio frequency (RF) signal, receives a reflected RF signal reflected from an object, and obtains a first measurement value for the object based on a received reflected RF signal. The second sensor obtains a second measurement value for the object by sensing a physical characteristic from the object. The physical characteristic sensed by the second sensor is different from a characteristic of the object measured as the first measurement value obtained by the first sensor. The calculation range selector sets a first reference range based on the second measurement value. The first reference range represents a range of execution of a first calculation for detecting a position of the object using a first algorithm. The estimator performs the first calculation only on the first reference range using the first measurement value, and generates a first result value as a result of performing the first calculation. The first result value represents the position of the object.