ODD Expansion Interface for User-Guided ADS Road Verification
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Solution Overview
Problem
Existing Automated Driving Systems (ADS) face challenges in expanding Operational Design Domains (ODDs) due to underutilization of road segments with insufficient sensor data, leading to restricted ODD expansion and suboptimal utilization of road networks.
Innovation Solution
A computer-implemented method and apparatus for managing user demand-based ODD expansion, which involves requesting ODD verification completion rates for road segments, obtaining and displaying ODD status data through a graphical user interface, and enabling users to contribute to ODD expansion by selecting relevant road segments for data collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor data collection is restricted to road segments with sufficient existing data, then ADS certification can be achieved reliably, but geographical ODD expansion is restricted and road network utilization is suboptimal
Solution Approach 1:
The system performs preliminary sensor data collection on road segments that are not yet certified for ADS operation. By proactively gathering data on unc RTIFIED road segments, the system prepares these segments for future ADS certification, enabling geographical ODD expansion while maintaining reliability through progressive verification.
Solution Approach 2:
The system enables road segments to serve themselves by allowing unc RTIFIED road segments to contribute sensor data to the collective pool. This self-service mechanism allows unc RTIFIED segments to participate in ODD verification, transforming them from passive exclusions into active contributors to system expansion.
2Manufacturing precision
If unc RTIFIED road segments are excluded from ODD verification, then data quality standards are maintained, but user participation and road network utilization are reduced
Solution Approach 1:
The system applies different data quality requirements to different road segments based on their certification status. Unc RTIFIED road segments contribute data with appropriate quality thresholds for their status, while certified segments maintain higher standards. This local quality approach enables unc RTIFIED segments to participate without compromising overall data quality.
Solution Approach 2:
The system accepts partial compliance from unc RTIFIED road segments, allowing them to contribute sensor data even if they don't meet full certification requirements. This partial action approach enables broader participation and faster ODD expansion while maintaining data quality through progressive verification and supplementation with data from certified segments.
3Reliability
If driver involvement is required on road segments with insufficient sensor data, then safety is maintained, but travelling experience and productivity are negatively affected
Solution Approach 1:
The system provides real-time feedback to drivers about the ODD status of road segments through the graphical user interface. By displaying ODD verification completion rates and certification status, drivers can understand when driver involvement is necessary versus when ADS can operate autonomously, improving travelling experience through transparency and reduced unnecessary driver intervention.
Solution Approach 2:
The system performs preliminary verification of road segments through sensor data collection from multiple vehicles before requiring driver involvement. By pre-collecting and analyzing sensor data, the system can certify road segments for ADS operation in advance, reducing the frequency of driver involvement and improving travelling experience while maintaining safety.
Data Source
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AI summary
A computer-implemented method (200) for managing user demand-based Operational Design Domain (ODD) expansion for an Automated Driving System (ADS) of a vehicle (100) is presented. The method (200) comprises: requesting (202) an ODD verification completion rate for each of a plurality of road segments (102) by transferring a request (104) from the vehicle (100) to a remote server (106), obtaining (204) road segment ODD status data (108), including the ODD verification completion rates, for the plurality of the road segments (102) from the remote server (106), displaying (206), via a display apparatus (110), a graphical user interface (GUI) comprising: a graphical representation comprising: categorized road segments (112a-m) comprising at least road segments under ADS verification (112b-f, i-l), wherein the categorized road segments (112a-m) comprise the plurality of road segments (102) categorized based on the road segment ODD status data (108), and guide marks (114b,e,f,k,l) associated with a sub-set (112b,e,f,k,l) of the road segments under ADS verification (112b-f,i-l), wherein one defining criteria for the sub-set (112b,e,f,k,l) is an ODD verification completion rate range.