Autonomous Vehicle Self-Parking and Retrieval System

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Solution Overview

Problem

Autonomous vehicles lack the ability to autonomously park and return to preselected locations without human intervention, which can be inconvenient for passengers and inefficient in terms of parking management.

Innovation Solution

An autonomous vehicle system that allows users to instruct the vehicle to park at a chosen location using a mobile device, with the vehicle identifying and selecting parking areas based on priority rules, communicating with parking payment systems, and automatically returning to the drop-off location at scheduled times or upon request.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If autonomous vehicles park autonomously at selected locations, then parking convenience and user experience are improved, but parking management complexity and coordination requirements increase

Engineering Contradiction:
Improveparking convenienceVSAvoidparking management complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The autonomous vehicle performs parking operations independently without human intervention. The vehicle selects parking locations, navigates to them, and parks itself automatically, allowing the system to serve itself rather than requiring human operators to manage parking for each vehicle

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

A centralized server acts as an intermediary between multiple autonomous vehicles and parking locations. The server receives parking requests, determines optimal parking locations based on various criteria, and coordinates vehicle movements, thereby managing the complexity centrally rather than requiring complex peer-to-peer coordination between vehicles

Inventive Principle:
Principle #24Intermediary (Mediator)

2Loss of time

If autonomous vehicles return automatically to drop-off locations, then retrieval efficiency and time savings are improved, but navigation and coordination requirements increase

Engineering Contradiction:
Improveretrieval timeVSAvoidnavigation coordination
Core Design Contradiction:
Loss of timeVSDevice complexity

Solution Approach 1:

The system pre-calculates and stores optimal routes between parking locations and drop-off points. When a vehicle needs to return to its drop-off location, it can quickly execute the pre-planned navigation without real-time complex calculations, reducing retrieval time while maintaining efficient coordination

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The centralized server continuously monitors vehicle locations, parking availability, and traffic conditions. It dynamically adjusts navigation instructions and parking assignments based on real-time feedback from the system state, enabling efficient coordination without requiring complex onboard decision-making in each vehicle

Inventive Principle:
Principle #23Feedback

3Productivity

If the system selects parking areas based on multiple criteria, then parking optimization and resource utilization are improved, but decision-making complexity and processing requirements increase

Engineering Contradiction:
Improveparking optimizationVSAvoiddecision-making complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system evaluates multiple parking locations by changing and comparing key parameters such as distance to drop-off location, availability of parking spaces, cost, and user preferences. It selects the optimal location based on weighted combinations of these parameters, transforming a complex multi-criteria decision into a systematic parameter-based selection process

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The centralized server acts as an intermediary that handles the complex decision-making process. It receives parking requests, evaluates multiple criteria using its processing capabilities, and determines optimal parking assignments, thereby centralizing the computational complexity rather than requiring complex decision-making systems in each autonomous vehicle

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS10023231B2Parking autonomous vehicles
Publication Date: 2018.07.17 HYUNDAI MOTOR CO LTD
  • US10023231B2 patent drawing
  • US10023231B2 patent drawing
  • US10023231B2 patent drawing

AI summary

Technology is described for parking autonomous vehicles. An autonomous vehicle may receive an instruction to park the autonomous vehicle. The instruction may be received when the autonomous vehicle is in a preselected location. The autonomous vehicle may select at least one parking area that potentially has available parking spaces to park the autonomous vehicle using, in part, a defined set of parking criteria. Commands may be provided to drive the autonomous vehicle to the parking area. The autonomous vehicle may be configured to select an available parking space within the parking area to park the autonomous vehicle. The autonomous vehicle may send a confirmation message after the autonomous vehicle is parked in the available parking space within the parking area. The confirmation message may include a parking location associated with the autonomous vehicle.