Semi-Automated Vehicle Guidance With Infrastructure Loss Fallback

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Solution Overview

Problem

Existing semi-automated vehicle guidance systems rely heavily on infrastructure support, which can fail or have limited functionality, leading to safety risks when infrastructure data is incorrect or unavailable.

Innovation Solution

Generate control signals for lateral and longitudinal guidance of vehicles without infrastructure support, and implement a fallback mechanism to ensure safe vehicle operation using in-vehicle sensors and data, with redundancy and diversity of sensor types.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If the vehicle relies on infrastructure support for semi-automated guidance, then the guidance efficiency and accuracy are improved, but the safety is worsened when infrastructure data is incorrect or unavailable

Engineering Contradiction:
Improveguidance accuracyVSAvoidsafety
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The system performs preliminary actions by continuously generating control signals using in-vehicle sensors while infrastructure support is available. This preparation ensures that when infrastructure support is lost, the vehicle can immediately switch to using pre-generated control signals without interruption, thus maintaining safety while preserving guidance accuracy.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements beforehand cushioning by creating a fallback mechanism that generates control signals independently using in-vehicle sensors. This cushioning layer protects against the harmful effect of infrastructure failure, ensuring that safety is maintained even when infrastructure data becomes unavailable or incorrect.

Inventive Principle:
Principle #11Beforehand cushioning (Prior cushioning)

2Reliability

If control signals are generated using only in-vehicle sensors without infrastructure support, then the reliability is improved through redundancy, but the measurement precision and guidance accuracy are worsened

Engineering Contradiction:
Improveoperational continuityVSAvoidguidance accuracy
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The system merges two data sources: infrastructure-provided control signals and in-vehicle sensor-generated control signals. By combining these sources, the system achieves both high guidance accuracy (when infrastructure data is available) and operational reliability (when infrastructure data is lost), as the merged system can seamlessly transition between sources.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The control signal generation system is designed with multi-functionality to operate in two modes: using infrastructure support for high-precision guidance, and using in-vehicle sensors for reliable fallback operation. This universal design ensures the system can adapt to different operational conditions while maintaining both accuracy and reliability.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Reliability

If the system continuously monitors infrastructure functionality and maintains fallback control signal generation, then the safety is improved, but the device complexity increases

Engineering Contradiction:
ImprovesafetyVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system implements self-service by using the vehicle's existing in-vehicle sensors to generate control signals independently. This eliminates the need for separate backup sensor systems, reducing device complexity while maintaining safety through the ability to operate without infrastructure support.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS12596367B2Method for the semi-automated guidance of a motor vehicle
Publication Date: 2026.04.07 ROBERT BOSCH GMBH
  • US12596367B2 patent drawing
  • US12596367B2 patent drawing
  • US12596367B2 patent drawing

AI summary

A method for the safe, at least semi-automated guidance of a motor vehicle, supported by an infrastructure. During the infrastructure-supported, at least semi-automated guidance of the motor vehicle, control signals are generated for the at least semi-automated control of a lateral guidance and/or longitudinal guidance of the motor vehicle without infrastructure support, and a functionality of a support by the infrastructure for an at least semi-automated guidance of the motor vehicle is checked, the infrastructure-supported, at least semi-automated guidance of the motor vehicle being terminated depending on a result of the check and the control signals being output in order to guide the motor vehicle in at least semi-automated fashion based on the generated output control signals, without support by the infrastructure. A device, a computer program, and a machine-readable storage medium are also described.