Automated Driving ODD Monitoring for Real-Time Boundary Detection
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Solution Overview
Problem
Existing automated driving systems lack an effective method to determine whether they operate within their designated operational design domain (ODD), which is crucial for safe and efficient vehicle control.
Innovation Solution
The proposed solution involves an ODD determining method and apparatus that compare a set of environmental and operating parameters of the automated driving system with a predefined set corresponding to the ODD. This comparison determines whether the system operates within the defined parameters, allowing for real-time adjustments to maintain safety and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automated driving systems operate without ODD determination, then operational flexibility is improved, but safety deteriorates due to operations outside defined conditions
Solution Approach 1:
The system performs preliminary determination of the operational design domain (ODD) before automated driving operations begin. The ODD determination module pre-establishes the parameter sets defining safe operating conditions, and the system continuously checks whether current operating parameters remain within these pre-defined boundaries, preventing unsafe operations before they occur
Solution Approach 2:
The system implements continuous feedback by comparing real-time operating parameters against the predefined ODD parameter sets. The determination module monitors whether current operating conditions remain within the ODD, and when parameters approach or exceed ODD boundaries, the system provides feedback to adjust operations or alert operators, maintaining safety while allowing flexible operation within safe parameters
2Reliability
If automated driving systems implement continuous ODD monitoring, then safety is improved, but computational complexity increases
Solution Approach 1:
The ODD determination system segments the monitoring function into distinct modules: an ODD determination module that establishes parameter sets, a parameter acquisition module that collects operating data, and a determination module that compares current parameters against ODD boundaries. This segmentation allows each module to perform specialized functions efficiently, reducing overall computational complexity while maintaining continuous safety monitoring
Solution Approach 2:
The system implements partial monitoring by focusing on critical operating parameters that define the ODD boundaries rather than monitoring all possible system parameters. The determination module selectively compares only the essential parameters (such as speed, location, environmental conditions) against ODD constraints, reducing computational load while maintaining adequate safety monitoring
Data Source
AI summary
A method includes determining an operational design domain (ODD) of a target road section where an automated driving system is located, where a first parameter set corresponding to the ODD includes a first environmental parameter set or a first operating parameter set of the automated driving system, obtaining a second parameter set, where the second parameter set includes a second environmental parameter set or a second operating parameter set, the second environmental parameter set is a set of environmental parameters of the automated driving system on the target road section, and the second operating parameter set is a set of operating parameters of the automated driving system on the target road section, and when it is identified that the second parameter set is a subset of the first parameter set, determining that the automated driving system does not exceed the ODD of the target road section.