Research papers · Posted 2018.05.07 · Preprint
Verisimilar Percept Sequences Tests for Autonomous Driving Intelligent Agent Assessment
Verisimilar Percept Sequences Tests for Autonomous Driving Intelligent Agent Assessment
Overview
The paper models autonomous vehicles as intelligent agents and proposes evaluating perception, decision-making, and their integration. It identifies critical data-dependency aspects of AI models and outlines procedures for reproducing them in assessment.
Version: v1