On-Vehicle Road Configuration Identifying Device Using Vehicle Stability Segmentation
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Solution Overview
Problem
Existing technologies fail to accurately identify road configurations around a user's vehicle, especially when vehicle movement is inconsistent with the road, such as during lane changes or entering facilities off the road.
Innovation Solution
A road configuration identifying device mounted on a vehicle that detects the traveling paths of other vehicles using radar and satellite positioning, calculates the certainty of these paths being on a road, and predicts the road configuration based on stable traveling behaviors, avoiding incorrect predictions from vehicles making turns or near intersections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the road configuration is identified based on the traveling path of a vehicle, then the road configuration can be identified using simple detection methods, but the identification accuracy deteriorates when the vehicle's movement is inconsistent with the road configuration (e.g., lane changes, entering facilities off the road)
Solution Approach 1:
The patent segments the detection data by dividing other vehicles into multiple groups based on their traveling behavior patterns (stable traveling vs. unstable traveling). This segmentation allows the system to selectively use data from stable vehicles for road configuration identification, thereby maintaining simplicity while improving accuracy by excluding inconsistent movements such as lane changes or entering facilities off the road.
Solution Approach 2:
The patent performs preliminary classification of vehicles into stable and unstable groups before using their traveling paths for road configuration identification. By pre-evaluating vehicle stability metrics (such as path consistency, speed variations, and directional changes), the system prepares filtered data in advance, ensuring that only reliable vehicle paths contribute to the final road configuration prediction.
2Reliability
If multiple vehicles are used to detect road configuration, then the reliability of road configuration identification is improved, but the complexity of data processing and evaluation increases
Solution Approach 1:
The patent simplifies multi-vehicle data processing by segmenting vehicles into distinct groups based on their traveling stability. Instead of processing all vehicle data uniformly, the system creates separate evaluation streams for stable and unstable vehicles, reducing computational complexity while maintaining high reliability through selective data utilization.
Solution Approach 2:
The patent applies different evaluation criteria and processing methods to different vehicle groups. Stable vehicles receive full weight in road configuration determination, while unstable vehicles are either excluded or given reduced weight. This local differentiation optimizes the balance between reliability and processing complexity by tailoring the evaluation approach to each vehicle's behavior characteristics.
3Quantity of substance
If vehicles with unstable traveling behavior are included in road configuration prediction, then more detection data is available, but the prediction accuracy deteriorates due to inconsistent movements
Solution Approach 1:
The patent performs preliminary filtering of detection data by evaluating vehicle traveling stability before incorporating data into road configuration prediction. Metrics such as path consistency, speed stability, and directional change frequency are calculated in advance to identify and exclude unstable vehicles, ensuring that only high-quality data contributes to the final prediction.
Solution Approach 2:
The patent segments the detection data by creating separate categories for stable and unstable vehicles. This segmentation enables the system to selectively aggregate data from stable vehicles while excluding or down-weighting data from unstable vehicles, thereby maintaining prediction accuracy while still utilizing available detection resources efficiently.
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
Enables accurate identification of road configurations with higher reliability by considering the traveling paths of other vehicles and their stability, preventing incorrect predictions due to turns or intersection proximity.
Implementation Method 1
the traveling path detecting section may detect the traveling path of another vehicle as a subject vehicle based on the positions of other vehicles around the user's vehicle relative to the user's vehicle, which are detected by using radar
Implementation Method 2
the user's vehicle traveling path detecting section that detects the traveling path of the user's vehicle as a subject vehicle from a user's vehicle positions detected by using a satellite positioning system
Data Source
AI summary
A road configuration identifying device properly identifies the road configuration around a user's vehicle. A reliability level indicating whether the traveling paths of other vehicles in an area behind the user's vehicle which are detected by a radar positioning system, which are obtained by tracking other vehicles using an other vehicle tracking section, and the traveling path of the user's vehicle are traveling paths along the same road configuration is calculated by using the velocity v, acceleration dv, angular velocity dθ, and the operation state of a direction indicator or the like of each vehicle. Then, the road configuration indicated by traveling paths having a high reliability level is predicted as the road configuration in the area behind the user's vehicle. A warning device evaluates the possibility of other vehicles colliding with the user's vehicle based on the road configuration of the area behind the user's vehicle predicted by the road configuration predicting section and the behavior of other vehicles tracked by the other vehicle tracking section, and warns of the possibility of collision if such another vehicle is present.


