Vehicle Transfer Path Planning Using External Vehicle-Specific Routing
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Solution Overview
Problem
Conventional methods for transferring motor vehicles from one position to another in areas separated from general road traffic face challenges due to complex calculations and the need to account for various vehicle-specific parameters and dynamic environments, leading to inefficiencies and inaccuracies, especially when dealing with different vehicle types and classes.
Innovation Solution
A method where vehicle-specific parameters and environmental information are transmitted to an external planning device to determine a target path, allowing for accurate and efficient trajectory planning without additional sensor devices, enabling autonomous or semi-autonomous operation and reducing the need for human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If central calculation of trajectories is used to account for vehicle-specific parameters, then routing accuracy is improved, but calculation time and system complexity increase significantly
Solution Approach 1:
The system segments the trajectory calculation task by creating individual computing modules, each responsible for calculating trajectories for specific vehicle types or classes. This division allows parallel processing of trajectory calculations for different vehicles simultaneously, reducing overall calculation time while maintaining accuracy by considering vehicle-specific parameters in each segmented module.
Solution Approach 2:
The system performs preliminary classification of vehicles into different vehicle types and pre-assigns computing modules to each type. By preparing this structure in advance, the system avoids complex real-time decision-making during trajectory calculation, enabling faster computation while still accounting for vehicle-specific characteristics through the pre-configured module assignments.
2Measurement precision
If individual trajectory calculation for each vehicle is performed, then routing precision is improved, but system complexity and computational load increase
Solution Approach 1:
The system implements universal computing modules that can handle trajectory calculations for multiple vehicle types within their assigned categories. Each computing module is designed with multi-functionality to process different vehicle classes (e.g., all trucks, all buses) using standardized algorithms adapted to each vehicle type's characteristics, reducing overall system complexity compared to having completely separate systems for each vehicle type.
Solution Approach 2:
The system manages complexity by changing parameters in a controlled manner - grouping vehicles by type and using representative parameters for each group rather than individual parameters for every vehicle. This parameter aggregation approach maintains sufficient trajectory precision while significantly reducing the computational complexity and data processing requirements.
3Reliability
If complex calculations are performed to account for dynamic environments and multiple vehicles, then transfer reliability is improved, but processing speed decreases
Solution Approach 1:
The system segments the dynamic environment monitoring and trajectory recalculation tasks into separate computing modules that operate independently for different vehicle types. This segmentation allows simultaneous processing of environmental changes and trajectory adjustments for multiple vehicles, maintaining high transfer reliability through comprehensive monitoring while improving processing speed through parallel execution.
Solution Approach 2:
The system implements feedback mechanisms where computing modules continuously monitor environmental changes and vehicle positions, then automatically trigger trajectory recalculations only when necessary. This feedback-based approach maintains transfer reliability by responding to actual dynamic conditions while improving processing speed by avoiding unnecessary calculations during stable conditions.
Data Source
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AI summary
The invention relates to a method for transferring, preferably for automated transferring, a motor vehicle from its current position to a target position, wherein both the current position and the target position are located in an area separated from general road traffic, preferably by a barrier and/or gate system. Furthermore, the motor vehicle to be transferred is capable of operating in an autonomous or semi-autonomous first driving mode M1. In this mode, the motor vehicle, with the aid of a driver assistance system, automatically performs both longitudinal and lateral guidance along a predetermined path. According to the invention, the method comprises the following steps: transmitting at least one piece of vehicle information, concerning a property of the motor vehicle, from the motor vehicle to a planning device external to the vehicle.Determining a target path from the vehicle's current position to its destination position by the vehicle-external planning unit, taking into account the transmitted vehicle information (at least one piece of information). Transmitting the target path determined by the vehicle-external planning unit to the vehicle and moving the vehicle from its current position to the destination position in the first driving mode M1 along the transmitted target path.