Active PAR

P3423

Standard for End-to-end Framework Design for Autonomous Driving

This standard addresses the evaluation of safety, explainability, and stability of algorithms implementing autonomous driving levels, as defined by SAE J3016. The standard specifies the minimum requirements for experimental setups, data flow charts, algorithm pipelines, and automated quantitative evaluation metrics for autonomous driving algorithms that use available Artificial Intelligence (AI) foundation models. Because of the rapid pace of commercialization of large AI foundation models, this standard specifies a software escrow service for proprietary code and automated processes for algorithms that use AI foundation models in the driving scenario.

Sponsor Committee
C/AISC - Artificial Intelligence Standards Committee
Status
Active PAR
PAR Approval
2023-11-08

Working Group Details

Society
IEEE Computer Society
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Sponsor Committee
C/AISC - Artificial Intelligence Standards Committee
Working Group
LMRT - Large Scale Models for Rail Transit
IEEE Program Manager
Christy Bahn
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Working Group Chair
Hui Jiang

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