Automated Driving Redundancy Switching for Lower Compute Energy
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Solution Overview
Problem
Existing automated driving systems for motor vehicles consume significant energy and resources due to the need for redundant computer applications to ensure robustness, which can lead to inefficiencies in resource allocation and increased energy consumption.
Innovation Solution
A method where a vehicle controller dynamically adjusts the state of redundant applications based on received vehicle operating data from other vehicles, allowing them to switch from an active to a standby state, reducing the frequency of computer instance execution and conserving resources while maintaining safety levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If redundant computer applications are executed to ensure robustness, then system reliability is improved, but energy consumption increases
Solution Approach 1:
The system dynamically adjusts the execution state of redundant applications based on real-time communication conditions. When V2X communication is reliable, redundant applications switch to standby mode; when communication degrades, they return to active mode, creating a dynamic balance between reliability and energy consumption
Solution Approach 2:
The system changes the operational parameters of redundant applications by switching between active and standby states. This parameter change allows the same application to operate at different resource consumption levels depending on system needs
2Reliability
If redundant computer applications are executed to ensure robustness, then system reliability is improved, but resource consumption increases
Solution Approach 1:
The system dynamically adjusts the execution state of redundant applications based on real-time communication conditions. When V2X communication is reliable, redundant applications switch to standby mode; when communication degrades, they return to active mode, creating a dynamic balance between reliability and resource consumption
Solution Approach 2:
The system changes the operational parameters of redundant applications by switching between active and standby states. This parameter change allows the same application to operate at different resource consumption levels depending on system needs
3Use of energy by moving object
If redundant applications are switched to standby state, then energy consumption is reduced, but system robustness may be compromised
Solution Approach 1:
The system continuously monitors communication quality and provides feedback to control the state of redundant applications. This closed-loop control ensures that redundancy is maintained only when necessary, optimizing the balance between energy consumption and system robustness
Solution Approach 2:
V2X communication acts as an intermediary that validates the environment model, allowing the system to reduce redundant computation while maintaining safety through external verification
Data Source
AI summary
Technologies and techniques for the at least the partially automated driving of a motor vehicle. A first application and at least one redundant second application provide output data depending on motor vehicle operating data and/or environmental data. Vehicle driving data for the at least partially automated driving of the motor vehicle are determined depending on the output data. Vehicle operating data from another vehicle are received, and, depending on the vehicle operating data, the at least one redundant second application switches from an active state to a standby state in which a computer instance of a computer unit used by the at least one redundant second application is at least executed at a lower frequency than in the active state.


