Object Plausibility Check Using Time To Collision Consistency
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current driver assistance systems face challenges in accurately and reliably locating objects using multiple independent sensors, leading to uncertainties in object plausibility checking, especially in high object densities or when objects are close together.
Innovation Solution
The method involves calculating the 'time to collision' using data from each object location system and comparing these values for consistency, allowing for a more reliable plausibility check by ensuring that both systems are describing the same physical object, thereby reducing the complexity of plausibility checking algorithms and enhancing accuracy and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If two independent locating systems are used to improve reliability, then object location reliability is improved, but the complexity of plausibility checking increases
Solution Approach 1:
The invention changes the parameter used for plausibility checking from comparing multiple location coordinates (distance, azimuth, lateral extent) to comparing a single derived parameter - time to collision. This transformation simplifies the comparison process while maintaining reliability, as time to collision can be calculated from each system's location data and directly compared to verify consistency between the two independent locating systems
Solution Approach 2:
The invention extracts the essential safety-critical information (time to collision) from the complete location data set, separating it from other location parameters. This extraction allows the plausibility check to focus only on the most critical aspect of object location accuracy, reducing complexity while preserving reliability for collision risk assessment
2Measurement precision
If multiple location parameters are compared for plausibility checking, then measurement precision is improved, but the checking time increases
Solution Approach 1:
The invention extracts and focuses on the single most critical parameter for safety - time to collision - rather than comparing multiple location parameters. This extraction enables rapid plausibility verification while maintaining precision for collision risk assessment, as time to collision directly reflects the urgency and accuracy of the detected threat
3Measurement precision
If complex plausibility checking algorithms are used to verify objects in high density scenarios, then object identification accuracy is improved, but processing speed decreases
Solution Approach 1:
The invention transforms the plausibility checking task from comparing multiple spatial parameters to comparing a single time-based parameter. This parameter change enables fast processing even in high object density scenarios, as time to collision can be rapidly calculated and compared without complex spatial analysis, while maintaining identification accuracy for safety-critical objects
Data Source
Figure 1
Figure 2~4
Figure 5~6
AI summary
The invention relates to a method for determining the plausibility of objects in driver assistance systems for motor vehicles, two variables (Tr, Tv) being derived from positioning data (14, 20) from two object positioning systems (10; 16, 18) of the vehicle, operating independently of each other, for an object that is detected by both positioning systems, one variable for each positioning system, representing one and the same physical parameter (TTC), and subsequently the two variables being checked for consistency, characterized in that the parameter (TTC) is the pre-calculated time until collision of the vehicle with the object.