Preceding Vehicle Selection via Dynamic Filter Characteristics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing inter-vehicle control systems face challenges in achieving both stability and responsiveness in selecting a preceding vehicle, as the filter calculation methods are contradictory and difficult to optimize for both scenarios.
Innovation Solution
The system includes curvature estimating, object position detecting, instantaneous probability calculating, filter calculating, and filter characteristics setting means to differentiate filter calculations for preceding and non-preceding vehicles, ensuring stability for preceding vehicles and responsiveness for merging vehicles by adjusting filter characteristics based on inter-vehicle time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If a filter calculation is applied to suppress variation in own vehicle lane probability, then stability of preceding vehicle selection is improved, but responsiveness to merging vehicles deteriorates
Solution Approach 1:
The filter calculation dynamically adjusts its characteristics based on the selected preceding vehicle status. When a preceding vehicle is selected, a filter with stronger smoothing characteristics is applied to suppress noise and maintain stability. When no preceding vehicle is selected, a filter with weaker smoothing characteristics is applied to maintain responsiveness to merging vehicles. This dynamic adjustment of filter characteristics resolves the contradiction between stability and responsiveness.
Solution Approach 2:
The invention changes the filter calculation parameters (smoothing coefficient α) based on the selection state. By switching between different parameter values for the filter calculation, the system achieves both stability during normal operation and responsiveness when detecting merging vehicles, thereby resolving the technical contradiction.
2Reliability
If filter calculation is optimized for preceding vehicle stability, then erroneous cancellation is reduced, but detection of non-preceding vehicles becomes slower
Solution Approach 1:
The filter calculation transitions between different operational modes dynamically. In the preceding vehicle selected state, the system uses a filter configuration that prioritizes reliability by suppressing noise. In the non-selected state, the system uses a filter configuration that prioritizes fast detection. This dynamic switching resolves the contradiction between reliability and detection time.
Solution Approach 2:
Different filter parameters are applied depending on whether a preceding vehicle is selected. The smoothing coefficient and other filter parameters are changed based on the selection state, allowing the system to achieve high reliability when a vehicle is selected while maintaining fast detection capability when vehicles are merging, thus resolving the time loss issue.
Data Source
AI summary
A preceding vehicle selection apparatus estimates a curvature of a traveling road on which an own vehicle is traveling, detects an object ahead of the own vehicle, and determines a relative position in relation to the own vehicle, for each object ahead. Based on the estimated curvature and the determined relative position, an own vehicle lane probability instantaneous value for each object ahead is repeatedly determined. An own vehicle lane probability is determined by performing a filter calculation on the calculated own vehicle lane probability instantaneous value. Based on the determined own vehicle lane probability, a preceding vehicle is selected. Characteristics of the filter calculation are set such that an object ahead associated with a preceding vehicle selected in a previous processing cycle is relatively less affected by the own vehicle lane probability instantaneous value than an object ahead associated with an object other than the preceding vehicle.