Commercial Vehicle Path Prediction for Variable Axle States
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Solution Overview
Problem
Existing driver assistance systems for commercial vehicles lack precision in determining driving paths, especially when considering varying axle configurations and operating states, which affects cornering behavior and obstacle detection.
Innovation Solution
A method and system that determine a driving path by taking into account the current axle configuration and operating state of commercial vehicles, including lifting axles, steerable axles, and axle load, to adjust the travel tube width and predict the required space, using sensors and model-based models for precise trajectory prediction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed driving path width is used for all commercial vehicles, then the system is simple to implement, but the driving path prediction becomes inaccurate for different axle configurations and loading conditions
Solution Approach 1:
The driving path width is made dynamic by adjusting it based on the current operating state of the commercial vehicle. The system determines whether a lift axle is raised or lowered and automatically adapts the driving path width accordingly, allowing the same vehicle to have different driving paths in different operating states without requiring multiple fixed path definitions
Solution Approach 2:
The system changes the driving path width parameter based on the axle operating state. When the lift axle transitions between raised and lowered positions, the driving path width parameter is adjusted to reflect the actual space requirements, enabling accurate collision detection for each configuration
2Reliability
If the driving path width is increased to accommodate all possible axle configurations, then all scenarios are covered, but the precision for specific configurations deteriorates
Solution Approach 1:
The system dynamically adjusts the driving path width based on the actual operating state rather than using a fixed conservative width. This ensures the driving path accurately reflects the true space requirements for each configuration, improving both reliability and precision simultaneously
3Measurement precision
If the system considers multiple axle configurations and operating states, then driving path accuracy improves, but the computational complexity and data processing requirements increase
Solution Approach 1:
The system uses existing sensor data from the vehicle's own equipment (axle position sensors, load sensors) to automatically determine the operating state and adjust the driving path width. The vehicle's existing infrastructure serves the additional function of driving path prediction without requiring external complex measurement systems
Solution Approach 2:
The driving path prediction system is designed to handle multiple axle configurations and operating states using a universal algorithm that adapts to different scenarios. Rather than creating separate prediction models for each configuration, a single multi-functional system processes all cases by detecting the current operating state and applying the appropriate parameters
Data Source
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AI summary
The invention relates to a method and a driver assistance system for determining the driving path of a commercial vehicle. The method for determining the driving path of a commercial vehicle (2) comprises determining (S1) a future vehicle trajectory (2) and determining (S2) a driving path (3) as a function of the future vehicle trajectory (2). The method is characterized in that the driving path (3) is determined as a function of an axle configuration (4) and/or a current operating state of at least one axle of the commercial vehicle (1).