Autonomous Driving Redundancy via Independent CPU Comparison

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Autonomous driving assistance systems require complex computations for control amounts, leading to potential miscalculations and lack of diversification, which can result in safety issues and increased costs due to redundant systems.

Innovation Solution

An autonomous driving assistance system that includes a diagnosis unit to compare control amounts calculated by independent devices, ensuring normalcy and switching to manual driving if discrepancies are detected, thereby maintaining safety and reducing costs through redundancy and diversification.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If multiple independent calculation devices perform substantially the same kind of computation to ensure safety, then redundancy and safety are improved, but device complexity and computation cost increase enormously

Engineering Contradiction:
ImprovesafetyVSAvoidcomputation complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent divides the autonomous driving system into multiple independent calculation devices (first, second, and third calculation devices), each performing substantially the same computation independently. This segmentation enables redundancy while maintaining manageable complexity through modular architecture, where each device operates autonomously but contributes to the overall safety through comparison of results.

Inventive Principle:
Principle #1Segmentation

2Stability of the object's composition

If the same CPU performs calculation through the same kind of computation, then consistency is improved, but diversification and ability to detect miscalculation are reduced

Engineering Contradiction:
Improvecomputation consistencyVSAvoidmiscalculation detection capability
Core Design Contradiction:
Stability of the object's compositionVSReliability

Solution Approach 1:

The patent introduces asymmetry by having multiple calculation devices perform substantially the same computation independently rather than using the same CPU. This asymmetric arrangement of independent computational paths allows the system to maintain consistency through standardized algorithms while simultaneously enabling diversification that helps detect miscalculations through comparison of different computational results.

Inventive Principle:
Principle #4Asymmetry

3Reliability

If multiple independent calculation devices are provided to ensure redundancy, then safety is improved, but system cost increases

Engineering Contradiction:
ImproveredundancyVSAvoidsystem cost
Core Design Contradiction:
ReliabilityVSEase of manufacture

Solution Approach 1:

The patent implements redundancy by providing multiple calculation devices that perform substantially the same computation, creating copied computational paths. This approach achieves safety through redundancy while controlling costs by using standardized computational architectures that can be manufactured and deployed efficiently across multiple devices rather than requiring entirely unique systems.

Inventive Principle:
Principle #26Copying

Data Source

PatentUS11529962B2Autonomous driving assistance system and operation method therefor
Publication Date: 2022.12.20 MITSUBISHI ELECTRIC MOBILITY CORP
  • US11529962B2 patent drawing
  • US11529962B2 patent drawing
  • US11529962B2 patent drawing

AI summary

Provided is an autonomous driving assistance system for vehicles that has redundancy without posing any problem in diversity. The autonomous driving assistance system includes: a sensor configured to acquire surroundings information; a downstream device including an actuator configured to control a vehicle; and a driving assistance device configured to calculate a control amount for the downstream device on the basis of the surroundings information. The downstream device further includes a diagnosis unit configured to: perform comparison between at least two control amounts that include the control amount calculated in the driving assistance device and a control amount calculated in the downstream device on the basis of the surroundings information; and determine, if the control amounts are equal to each other, that the control amounts are normal, and determine, if the control amounts are different from each other, that the control amounts are abnormal.