Adaptive Cruise Control Distance Correction by Vehicle Type
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Solution Overview
Problem
Existing methods for adjusting the target distance between a motor vehicle and a preceding vehicle do not adequately account for the vehicle type of the preceding vehicle, leading to potential errors in distance detection and uncomfortable driving experiences.
Innovation Solution
A method that activates an adaptive cruise control to adjust the target distance based on distance information and vehicle type information, determining a correction distance to prevent the vehicle from driving too close to the preceding vehicle, particularly for utility vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the target distance is adjusted based on standard distance detection methods, then the automated driving function operates smoothly, but the vehicle may drive too close to utility vehicles due to detection errors
Solution Approach 1:
The system changes the target distance parameter dynamically based on the detected vehicle type. When a utility vehicle is detected, the system automatically increases the target distance by adding a correction distance (e.g., 0.5 to 2 meters) to compensate for the detection error caused by the vehicle's structural characteristics.
Solution Approach 2:
The system introduces vehicle type information as an intermediary parameter that mediates between the standard distance detection and the final target distance setting. By classifying the preceding vehicle type (motor vehicle, utility vehicle, trailer, etc.), the system selects appropriate correction distances to achieve accurate spacing.
2Reliability
If the target distance is increased to compensate for detection errors, then the vehicle maintains safe distance from utility vehicles, but other road users may merge between the vehicles and slow down traffic
Solution Approach 1:
The system applies different target distance corrections locally based on the specific vehicle type detected. Instead of uniformly increasing distance for all vehicles, it only adds correction distance when utility vehicles or trailers are detected, maintaining normal spacing for standard motor vehicles and thus avoiding unnecessary traffic flow disruption.
Solution Approach 2:
The target distance parameter is dynamically adjusted based on vehicle type classification. The system changes the distance parameter only when necessary (when utility vehicles or trailers are detected), balancing safety requirements with traffic flow efficiency by avoiding excessive distance increases in normal driving scenarios.
3Extent of automation
If the target distance is adjusted based on route parameters from data services, then automated distance adjustment is achieved, but the system cannot account for vehicle type-specific detection errors
Solution Approach 1:
The system merges two approaches: route parameter-based automated adjustment from data services and vehicle type-based correction. By combining these methods, the system achieves both automated operation and compensation for vehicle type-specific detection errors, using the camera-based vehicle type recognition to supplement the route parameter information.
Solution Approach 2:
The system introduces vehicle type information as an intermediary that bridges the gap between automated route parameter adjustment and accurate distance measurement. This intermediary enables the system to automatically detect vehicle types and apply appropriate corrections without manual intervention.
Data Source
AI summary
A method for adjusting a target distance between a motor vehicle and a preceding vehicle traveling in front includes activating an adaptive cruise control to adjust the target distance. The method includes determining distance information characterizing the distance between the motor vehicle and the preceding vehicle. The method includes determining vehicle type information characterizing a vehicle type of the preceding vehicle. The method includes determining a correction distance on the basis of the distance information and the vehicle type information. The method includes adjusting the target distance on the basis of the correction distance.