Parking Facility Base Units for Edge-Assisted Automated Valet Parking
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Solution Overview
Problem
Current Automated Valet Parking (AVP) systems rely on central servers for infrastructure assistance data processing, leading to increased data transfer distances and hardware requirements, which can be inefficient and costly.
Innovation Solution
Implementing an edge computing architecture within the parking facility using multiple base units that self-sufficiently process and transfer infrastructure assistance data, reducing the need for extensive data cabling and bandwidth, and allowing for weaker hardware configurations by decentralizing data processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a central server is used for infrastructure assistance data processing, then centralized control and data management are achieved, but data transfer distances increase and hardware requirements become more demanding
Solution Approach 1:
The patent divides the parking facility into multiple zones, each with its own base unit that independently processes infrastructure assistance data. This segmentation eliminates the need for long-distance data transfers to a central server, as each base unit handles local data processing and vehicle communication within its zone.
Solution Approach 2:
The patent transitions from a centralized hierarchical architecture to a distributed spatial architecture where base units are positioned throughout the parking facility. This dimensional change distributes data processing across multiple locations rather than concentrating it at a single central point, reducing data transfer distances.
2Reliability
If a central server processes all infrastructure assistance data, then comprehensive data management is achieved, but bandwidth requirements and hardware costs increase
Solution Approach 1:
Each base unit in the patent is equipped with its own processor and memory resources to handle infrastructure assistance data locally. This segmentation of computing resources eliminates the need for high-bandwidth connections to a central server and reduces overall hardware requirements at any single location.
Solution Approach 2:
Base units autonomously process infrastructure assistance data and generate assistance information without requiring constant communication with a central server. This self-service capability reduces bandwidth requirements and allows the use of weaker, more cost-effective hardware configurations.
3Productivity
If base units are connected in series, then data transfer efficiency is improved, but system complexity increases
Solution Approach 1:
Multiple base units are connected in series to form an integrated system where data can flow efficiently between units. This merging of distributed base units creates a cohesive network that maintains data transfer efficiency while managing system complexity through standardized connection protocols.
Data Source
AI summary
A system for the infrastructure-based assistance of a motor vehicle driven in an at least semi-automated manner within a parking facility. The system includes: multiple base units, each connected to a surroundings sensor which detect an area of the parking facility. The base units aid the motor vehicle during its drive through the respective area driven in an at least semi-automated manner based on surroundings sensor data of the respective surroundings sensor corresponding to the respective detection. Infrastructure assistance data are ascertained based on the surroundings sensor data, which are transmitted wirelessly to the motor vehicle. Each base unit is responsible for one area. The responsibility for aiding the motor vehicle is forwarded from base station to base station as the motor vehicle drives through the individual areas.