Article
Open Access
Developing a Machine Intelligence Quotient (MIQ) for evaluating autonomous vehicle intelligence: A conceptual framework
Mehdi Cina1Ahmad Rad1,∗Abdol Rasul Rasuli2
1 Autonomous and Intelligent Systems Laboratory, School of Mechatronic Systems Engineering, Simon Fraser University, Surrey, BC V3T 0A3, Canada
2 DyMo Technology Corp, Vancouver Canada
  • Volume
    Volume 1 Issue 2, 2024
  • Citation
    Cina M, Rad A, Rasuli AR. Developing a Machine Intelligence Quotient (MIQ) for evaluating autonomous vehicle intelligence: A conceptual framework. Artif. Intell. Auton. Syst. 2024(2):0007, https://doi.org/10.55092/aias20240007. 
  • DOI
    10.55092/aias20240007
  • Copyright
    Copyright2024 by the authors. Published by ELSP.
  • Special Issue
    Intelligent Transportation Systems
Abstract

This paper presents a methodology to quantify the Machine Intelligence Quotient (MIQ) for autonomous cars. MIQ integrates multi-dimensional categories—Physical, Cognitive, and Functionality Intelligence attributes—to evaluate vehicle intelligence in a comprehensive manner. By focusing on the harmony of these facets with human cognitive and decision-making processes, MIQ provides a transformative approach to understanding and enhancing autonomous vehicle technology. This framework not only offers an empirical method for intelligence assessment but also sets a visionary benchmark, advocating for advancements that parallel human-like intelligence in future autonomous systems.

Keywords

autonomous vehicle intelligence; Machine Intelligence Quotient (MIQ); cognitive computing in vehicles; Advanced Driver Assistance Systems (ADAS); intelligent vehicle systems; human-centric vehicle technology

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