Vehicle Minimal Risk Maneuver Using On-Board and Off-Board Data
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Solution Overview
Problem
Current automated driving systems (ADS) determine minimal risk maneuvers (MRM) and minimal risk conditions (MRC) solely based on on-board data, limiting their safety and reliability, especially in situations where off-board information could provide safer alternatives.
Innovation Solution
A method that combines proposals for MRM from both on-board and off-board data sources, using a predetermined evaluation criterion to select the safest maneuver, incorporating external data sources such as traffic control centers, external vehicles, infrastructure, and cloud systems to enhance safety and error tolerance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If MRM is determined solely based on on-board data sources, then the system complexity is reduced and response time is shortened, but the safety and reliability of the maneuver are limited
Solution Approach 1:
The patent combines on-board data sources (vehicle sensors, onboard systems) with off-board data sources (traffic control centers, external vehicles, infrastructure, cloud systems) to determine the minimal risk maneuver. This merging of multiple data sources enhances the safety and reliability of the MRM by providing more comprehensive information about the driving environment and potential risks.
2Reliability
If multiple data sources are integrated for MRM determination, then the safety and reliability improve, but the system complexity and data processing requirements increase
Solution Approach 1:
The patent segments the data sources into distinct categories: on-board data sources (vehicle sensors and systems) and off-board data sources (traffic control centers, external vehicles, infrastructure, cloud systems). This segmentation allows for organized data collection and processing from multiple sources while maintaining system manageability through clear functional boundaries.
3Loss of information
If off-board data sources are used, then the comprehensiveness of information increases and safer MRMs can be determined, but the dependency on external systems increases
Solution Approach 1:
The patent implements a backup mechanism where, in case of failure or malfunction of on-board or off-board systems during MRM determination, alternative data sources can be utilized to still provide a safe MRM. This prior cushioning ensures system reliability and reduces dependency risks by having pre-prepared fallback options.
4Measurement precision
If the system waits for off-board data before determining MRM, then the accuracy of the maneuver improves, but the response time increases
Solution Approach 1:
The patent establishes predetermined evaluation criteria for selecting between on-board and off-board data sources before the actual MRM determination is needed. This preliminary setup allows the system to quickly select and process the most appropriate data source when a safety-relevant event occurs, improving response time while maintaining accuracy through pre-configured selection rules.
Data Source
AI summary
A method for determining a minimal risk maneuver (MRM) on a route in order to obtain a minimal risk condition (MRC) for a vehicle. The method includes: determining a first proposal for at least one part of the MRM to be determined, wherein the first proposal is ascertained from data from a first, on-board data source of the vehicle; determining a second proposal for the at least one part of the MRM to be determined, wherein the second proposal is ascertained from data from at least one second, off-board data source; aggregating the first proposal and the second proposal into the at least one part of the MRM, and/or selecting the first proposal or the second proposal as this at least one part of the MRM, on the basis of a predetermined evaluation criterion.