Edge Infrastructure Fallback Control for Autonomous Passenger Safety

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Solution Overview

Problem

Existing autonomous driving systems focus on vehicle control during fallback situations but inadequately ensure passenger safety.

Innovation Solution

An autonomous driving safety control system based on edge infrastructure that detects fallback situations and executes safety processes, including emergency stops and passenger location sharing, to prioritize passenger safety.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the autonomous driving system focuses on vehicle control during fallback situations, then vehicle control capability is improved, but passenger safety is insufficient

Engineering Contradiction:
Improvevehicle control capabilityVSAvoidpassenger safety
Core Design Contradiction:
ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The patent introduces an edge infrastructure as an intermediary between the autonomous driving system and the external environment. This intermediary provides additional information (safety zone locations, environmental data) and communication capabilities that enable the system to address passenger safety concerns while maintaining vehicle control capability during fallback situations

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent adds a new dimension of operation by implementing multiple fallback scenarios beyond basic vehicle control. These include scenarios for passenger evacuation, communication with external systems, and environmental awareness, thereby expanding the system's capability space to address comprehensive passenger safety

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Reliability

If the system implements multiple safety scenarios for fallback situations, then passenger safety is improved, but system complexity increases

Engineering Contradiction:
Improvepassenger safetyVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the fallback response into distinct scenarios (e.g., safe stop scenarios, passenger evacuation scenarios, communication scenarios). Each scenario is handled by specific functional modules, which reduces the complexity of managing all safety functions monolithically while maintaining comprehensive passenger safety coverage

Inventive Principle:
Principle #1Segmentation

3Reliability

If the system shares passenger location information through edge infrastructure, then passenger safety is improved, but information security risks increase

Engineering Contradiction:
Improvepassenger safetyVSAvoidinformation security risks
Core Design Contradiction:
ReliabilityVSObject-generated harmful factors

Solution Approach 1:

The patent establishes predetermined protocols and procedures for information sharing before actual fallback situations occur. These pre-defined frameworks include criteria for when to share information, what information to share, and with whom, thereby enabling effective passenger safety monitoring while managing information security risks through advance planning

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentEP4201778B1Autonomous driving safety control system based on edge infrastructure and method thereof
Publication Date: 2025.01.22 KOREA INTELLIGENT AUTOMOTIVE PARTS PROMOTION INST
  • EP4201778B1 patent drawingFigure 1~3
  • EP4201778B1 patent drawingFigure 4
  • EP4201778B1 patent drawingFigure 5

AI summary

An autonomous driving safety control system based on edge infrastructure includes an autonomous driving system (100) controlling autonomous driving, an error detection unit (200) detecting a fallback situation, and a safety controller (300) driving a safety process for each fallback situation by interworking with an edge infrastructure when a fallback situation occurs, wherein the safety controller (300) transmits a fallback situation and location information of a passenger through the edge infrastructure.