Parking Lot Autonomous Navigation via Segmented Trajectory Data
Solution Overview
Problem
Existing driving assistance systems for large parking lots require high infrastructure and data transmission, leading to potential delays and increased costs, especially at bottlenecks like entrance barriers, and are inefficient in adapting to changing parking space availability.
Innovation Solution
A method using spatially distributed information sources with minimal data transmission, providing driving maneuver information with parameters like starting and ending curvature, length, and initial orientation, allowing vehicles to autonomously navigate using optically or electronically readable displays and RFID tags, reducing data requirements and infrastructure needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If complete trajectory data is transmitted from start to parking space, then navigation guidance is provided, but data transmission delays occur at bottlenecks like entrance barriers
Solution Approach 1:
The complete trajectory from entrance to parking space is divided into multiple trajectory sections, each associated with different information sources distributed throughout the parking lot. The vehicle receives and executes trajectory sections sequentially as it passes each information source, rather than receiving all data at once at the entrance. This segmentation eliminates transmission bottlenecks and reduces delays.
Solution Approach 2:
Trajectory sections are pre-configured and stored at distributed information sources before the vehicle arrives. When the vehicle passes an information source, the corresponding pre-prepared trajectory section is immediately transmitted and executed, eliminating the need for real-time computation and reducing transmission delays.
2Reliability
If high infrastructure investment is made for driving assistance systems, then navigation capability is improved, but costs increase
Solution Approach 1:
The system uses existing infrastructure elements in the parking lot (such as pillars, walls, or existing signage) as carriers for information sources. These elements already serve structural or informational purposes, so adding trajectory transmission capability to them leverages existing investments rather than requiring new dedicated infrastructure, thereby reducing overall costs.
Solution Approach 2:
Information sources are designed to serve multiple functions: they provide trajectory navigation data, can display parking availability information, and may serve as localization references. This multi-functionality reduces the need for separate dedicated infrastructure for each function, lowering overall system cost while maintaining reliability.
3Device complexity
If static trajectory data is used, then system complexity is reduced, but adaptability to changing parking space availability is poor
Solution Approach 1:
The system transitions from static pre-planned trajectories to dynamic adaptive trajectories. As the vehicle moves through the parking lot and passes information sources, the trajectory data is dynamically updated based on current parking space availability detected by the system, allowing real-time adaptation without requiring complex centralized control.
Solution Approach 2:
By dividing the trajectory into sections associated with different information sources, the system enables localized updates. Each section can be independently modified based on current conditions, allowing the overall route to adapt to changing parking availability while keeping the data management structure relatively simple and modular.
Data Source
Figure 1
AI summary
The invention relates to a driving assistance system for a large parking lot (2), wherein a vehicle (4) is guided in the parking lot (2) by means of driving maneuver information, the parking lot (2) having several spatially distributed information sources (12) which provide the driving maneuver information, the driving maneuver information comprising parameters of driving trajectories (18), and a driving assistance system of the vehicle (4) performs a driving maneuver corresponding to the driving trajectory (18) based on the parameters of a driving trajectory (18). It is provided that the parameters of the driving trajectory (18) include a starting curvature, a final curvature, and a length of the driving trajectory (18). Furthermore, a driving maneuver system for carrying out the method is specified.