Dynamic Filter Adjustment for Vehicle Collision Prediction
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Solution Overview
Problem
Existing collision determination systems face inaccuracies in predicting the path of a target object due to the influence of unwanted reflected waves, leading to either unnecessary or missed vehicle control actions, as the filter characteristics struggle to balance responsiveness and stability.
Innovation Solution
A collision determination apparatus that adjusts filter characteristics based on the detectable time or distance of the target object, using a smoothing process to inhibit changes in detection information, thereby improving the accuracy of collision prediction by optimizing tracking performance and stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If the filter characteristics are made strong (smoothing degree is increased), then the influence of unwanted reflected waves is decreased and stability is improved, but the response to the movement of the target object is hindered and responsiveness deteriorates
Solution Approach 1:
The filter characteristics are made dynamically adjustable based on the detected state of the target object. When the target object is determined to be in an abnormal state (sudden position change or deviation from predicted path), the filter characteristics are switched to a weaker setting to improve responsiveness. When the target object is in a normal state, stronger filter characteristics are used to enhance stability and reduce the influence of unwanted reflected waves.
2Speed
If the filter characteristics are made weak (smoothing degree is reduced), then the response to the movement of the target object is improved, but the influence of unwanted reflected waves is increased and stability deteriorates
Solution Approach 1:
The filter characteristics are made dynamically adjustable based on the detected state of the target object. When the target object is determined to be in an abnormal state (sudden position change or deviation from predicted path), the filter characteristics are switched to a weaker setting to improve responsiveness. When the target object is in a normal state, stronger filter characteristics are used to enhance stability and reduce the influence of unwanted reflected waves.
3Ease of operation
If fixed filter characteristics are used, then the system is simple to operate, but the determination of collision cannot be made accurately when the target object abruptly changes traveling direction or when unwanted reflected waves are present
Solution Approach 1:
The system automatically detects the state of the target object (normal or abnormal) and self-adjusts the filter characteristics without requiring manual intervention. The abnormal state detection unit monitors position changes and path deviations, and the filter characteristic setting unit automatically switches between strong and weak filter settings based on the detected state, enabling the system to adapt to varying conditions autonomously.
Solution Approach 2:
The system uses feedback from the abnormal state detection unit to continuously adjust the filter characteristics. When the target object deviates from the predicted path or exhibits sudden position changes, the feedback signal triggers a switch to weaker filter characteristics. When the target object follows the predicted path normally, the feedback signal maintains stronger filter characteristics, creating a closed-loop control system that optimizes performance.
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 enhances the accuracy of collision determination by dynamically setting filter characteristics according to detectable time or distance, ensuring appropriate responsiveness and stability, thus reducing the likelihood of unnecessary or missed vehicle control actions.
Implementation Method 1
a radar sensor that detects a position of the target object based on a reflected wave from the other vehicle
Data Source
AI summary
A collision determination apparatus includes an acquisition section, a setting section, a target object information detection section, a target object path prediction section, an own vehicle path prediction section, and a collision determination section. The acquisition section acquires detection information based on a reflected wave from a search device. The setting section sets filter characteristics of a filtering process used when the detection information is filtered. The target object information detection section detects a position of a target object using the filtered detection information. The target object path prediction section predicts a path of the target object based on changes in the position of the target object detected by the target object information detection section. The own vehicle path prediction section predicts a path of an own vehicle. The collision determination section makes a determination of a collision between the own vehicle and the target object. The setting section estimates a detectable time or a detectable distance in which the position of the target object can be detected in the path of the target object based on the position of the target object and the traveling condition of the own vehicle and sets the filter characteristics in accordance with the detectable time or the detectable distance that has been estimated.


