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

PARTICIPATION ENQUIRY

Participation enquiry

Your enquiry will be delivered by email. We will reply to the address you provide.

Email enquiries: info@battermachine.com