Adaptive Cruise Control Target Relevance for Stable Vehicle Tracking
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Solution Overview
Problem
Existing adaptive cruise control systems face challenges in accurately determining the relevance of a target vehicle, leading to unnecessary acceleration or braking due to sensor inaccuracies and ambiguity in vehicle positioning, which affects passenger comfort and safety.
Innovation Solution
A method for controlling an adaptive cruise control system that determines a relevance indicator based on the probability of a second vehicle being on the same trajectory as the first vehicle, using data from on-board cameras to assess lane position and adjusts the ACC system's operation with a corrected relevance index to avoid deselection of distant targets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the ACC system targets a distant second vehicle based on sensor data, then the system maintains a target for regulation, but sensor inaccuracies and ambiguous positioning lead to erroneous deselection and unnecessary acceleration or braking
Solution Approach 1:
The patent introduces an intermediary assessment mechanism that evaluates the relevance of the second vehicle to the first vehicle's trajectory. This intermediary system uses multiple parameters (lateral position, longitudinal distance, speed difference, lane information) to mediate between raw sensor data and the final target selection decision, filtering out false targets and reducing erroneous deselection.
Solution Approach 2:
The patent changes multiple parameters simultaneously to assess target relevance: lateral position offset, longitudinal distance, speed difference, and lane alignment. By evaluating these parameters together rather than relying on a single measurement, the system improves reliability while accounting for sensor inaccuracies in individual measurements.
2Stability of the object's composition
If the ACC system continuously regulates on a distant vehicle, then the system maintains stability, but passenger comfort deteriorates due to unnecessary acceleration and braking actions
Solution Approach 1:
The patent monitors changes in multiple parameters over time (lateral position, longitudinal distance, speed difference, lane alignment) to determine when a target vehicle becomes irrelevant. By requiring significant changes across these parameters before deselection, the system maintains stable regulation only when appropriate, avoiding unnecessary acceleration and braking that would discomfort passengers.
Solution Approach 2:
The system continuously feedbacks on the relevance of the target vehicle by evaluating multiple parameters. This feedback mechanism allows the ACC system to distinguish between stable target conditions (where continued regulation is appropriate) and changing conditions (where deselection is warranted), thereby maintaining stability only when it serves passenger comfort.
3Device complexity
If the ACC system uses basic sensor data for target selection, then the system operation is simple, but safety and comfort are compromised due to ambiguous vehicle positioning and sensor inaccuracies
Solution Approach 1:
The patent evaluates multiple parameters (lateral position, longitudinal distance, speed difference, lane alignment) to determine target relevance. While this increases computational complexity compared to basic sensor data usage, it significantly improves reliability by cross-validating target selection across multiple independent measurements, reducing the impact of individual sensor inaccuracies.
Solution Approach 2:
The patent applies a multi-parameter assessment framework that goes beyond the minimum required for basic target selection. By evaluating more parameters than strictly necessary (including lane alignment and speed difference in addition to position), the system achieves higher reliability through excessive measurement, accepting increased complexity as a trade-off for improved safety.
Data Source
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AI summary
The present invention relates to a method and device for controlling an adaptive cruise control system, referred to as an ACC system, of a first vehicle (10) based on a second vehicle travelling in front of the first vehicle in the same traffic lane (1001). A relevance indicator associated with the second vehicle (11) is determined. A severity time is determined based on the difference between a severity time and a critical time, said severity time being a function of, on the one hand, the speed deviation between the first vehicle and the second vehicle and, on the other hand, the average speed of the first vehicle. A severity score is determined based on the severity time. A corrected relevance score is determined by correcting the relevance score based on the severity score, and the ACC system is controlled based on the corrected relevance indicator.