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Information Theory Based Quantitative Complexity Analysis for Autonomous Vehicle Safety Testing

Year: 2025

Type: conference-paper

Source: International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

DOI: 10.1109/acdsa65407.2025.11166612

Authors: Quentin Goss, Mustafa İlhan Akbaş

Institutions: Embry-Riddle Aeronautical University Daytona Beach Florida Campus, Embry–Riddle Aeronautical University

Language: English

Topic: Autonomous Vehicle Technology and Safety

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4414459241

FWCI:

Cites: 20

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