Automatic Parking System Dynamic Instruction Adjustment for Failed Vehicles

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Solution Overview

Problem

In automatic valet parking systems, failures such as abnormalities or communication interruptions in autonomous driving vehicles can disrupt the parking process, and existing systems lack effective mechanisms to dynamically adjust instructions to mitigate the impact of failed vehicles on other vehicles in the system.

Innovation Solution

An automatic parking system that includes an instruction change target vehicle specifying unit, which identifies a normal vehicle to receive route change, evacuation, or stop instructions based on parking lot map information and the location of the failed vehicle, allowing the system to minimize the influence of the failed vehicle on other vehicles by rerouting or stopping the instruction change target vehicle.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the system continues to issue original instructions to all vehicles without adjustment when a failure occurs, then the instruction management remains simple, but the reliability of the parking system deteriorates due to potential obstructions and failures affecting other vehicles

Engineering Contradiction:
Improvesystem reliabilityVSAvoidinstruction management complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system continuously monitors the states of all autonomous driving vehicles and uses this feedback information to dynamically adjust instructions. When a vehicle fails or deviates from its route, the management device detects this through state information feedback and issues corrected instructions to other vehicles to avoid the failed vehicle, thereby maintaining system reliability without requiring complex manual intervention

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system automatically identifies failed vehicles and self-adjusts the instructions for other vehicles without human intervention. The management device independently determines which vehicles need instruction changes and generates appropriate alternative routes or evacuation instructions, enabling the system to self-correct and maintain reliability while keeping instruction management relatively simple through automated processes

Inventive Principle:
Principle #25Self-service

2Productivity

If the system dynamically adjusts instructions for vehicles near failed vehicles, then the productivity and smooth operation of the parking system is improved, but the complexity of real-time monitoring and instruction modification increases

Engineering Contradiction:
Improveparking operation efficiencyVSAvoidreal-time monitoring complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system applies instruction adjustments locally only to vehicles that are spatially close to failed vehicles or whose routes may intersect with failed vehicle locations. Instead of modifying all vehicle instructions system-wide, the management device selectively adjusts instructions for specific vehicles based on their current positions and planned routes relative to the failed vehicle, thereby improving productivity while limiting the complexity increase to only the necessary local adjustments

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system proactively identifies vehicles that may be affected by a failed vehicle before they reach problematic areas. By analyzing the positions and routes of all vehicles in real-time, the management device preemptively issues corrected instructions to vehicles that might otherwise encounter the failed vehicle, ensuring smooth operation while managing complexity through forward-looking rather than reactive adjustments

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS11548499B2Automatic parking system
Publication Date: 2023.01.10 TOYOTA JIDOSHA KK
  • US11548499B2 patent drawing
  • US11548499B2 patent drawing
  • US11548499B2 patent drawing

AI summary

An automatic parking system instructs a plurality of autonomous driving vehicles in a parking lot such that each autonomous driving vehicle parks in a target parking space within the parking lot, and includes an instruction change target vehicle specifying unit configured to, in a case where the autonomous driving vehicle becomes a failed vehicle due to abnormality or communication interruption during automatic driving according to instruction, specify an instruction change target vehicle from normal autonomous driving vehicles based on parking lot map information, a location of the failed vehicle, and a location of the normal autonomous driving vehicles, and a vehicle instruction unit configured to, in a case where the instruction change target vehicle is specified, issue a route change instruction, an evacuation instruction, or a stop instruction to the instruction change target vehicle, such that the instruction change target vehicle gets away from the failed vehicle.