Dual-Filter Collision Detection for Adaptive Vehicle Control
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Solution Overview
Problem
Existing collision determination systems face challenges in accurately 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 required for stability and responsiveness are incompatible.
Innovation Solution
A collision determination apparatus with separate filtering processes for collision determination and vehicle control, using a collision determination filter with weaker characteristics for responsive path prediction and a vehicle control filter with stronger characteristics for stable path prediction, allowing for accurate collision detection and timely vehicle control.
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 patent divides the single filtering process into two separate filtering processes: one for collision determination and another for vehicle control. Each filter is optimized for its specific purpose, allowing the system to simultaneously achieve stability in control actions and responsiveness in collision detection without the trade-off that plagues single-filter systems.
Solution Approach 2:
Different filter characteristics are applied to different parts of the system: the collision determination filter uses weaker characteristics for responsiveness, while the vehicle control filter uses stronger characteristics for stability. This local differentiation allows each component to have optimal filtering properties suited to its specific function.
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 patent segments the filtering function into two independent filters with different characteristics. The collision determination filter can use weak characteristics to maintain responsiveness to target object movements, while the vehicle control filter uses strong characteristics to ensure stability and reduce the impact of unwanted reflected waves.
Solution Approach 2:
The system applies different filtering qualities to different functional areas: weak filtering for collision detection (prioritizing responsiveness) and strong filtering for control execution (prioritizing stability). This resolves the contradiction by allowing each area to have the filtering characteristics it needs.
3Device complexity
If a single filter is used for both collision determination and vehicle control, then the device complexity is reduced, but it becomes difficult to set appropriate filter characteristics for both functions simultaneously
Solution Approach 1:
The patent segments the filtering system into two independent filters, each with its own characteristics optimized for specific functions. This increases system adaptability by allowing independent tuning of collision detection and control parameters without the compromise required by a single-filter approach.
Solution Approach 2:
The system dynamically selects different filter characteristics for different processing stages: the collision determination filter operates with one set of characteristics optimized for detection speed, while the vehicle control filter operates with another set optimized for control stability, allowing the system to adapt to different operational requirements.
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 configuration reduces the impact of unwanted reflected waves and abrupt target object movements, minimizing unnecessary or missed vehicle control actions, thereby improving the accuracy and timing of collision avoidance operations.
Implementation Method 1
a radar ECU detects the position of another vehicle (target object) using a millimeter-wave radar
Implementation Method 2
The millimeter-wave radar detects the 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 filtering section, a target object information detection section, a target object path prediction section, an own vehicle path prediction section, a collision determination section, and a vehicle control section. The acquisition section (21) acquires detection information based on a reflected wave from a search device. The filtering section filters the detection information. 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 detected position of the target object. The own vehicle path prediction section predicts a path of an own vehicle. The collision determination section determines a risk of collision between the own vehicle and the target object. The vehicle control section executes a vehicle control. The path of the target object is predicted based on the detection information filtered by a collision determination filter. The path of the target object is predicted based on the detection information filtered by a vehicle control filter. The filtering process is a smoothing process that inhibits changes in the detection information. The vehicle control filter and the collision determination filter have different smoothing degree of inhibiting the changes in the detection information.