Autonomous Vehicle Categorization Model

A Autonomous Vehicle Categorization Model is a categorization model that defines the levels of autonomy and capabilities for autonomous vehicles.

Context:
- It can (typically) classify Autonomous Vehicles based on their levels of autonomy, from Level 0 Autonomous Vehicle (No Automation) to Level 5 Autonomous Vehicle (Full Automation).
- It can (often) be used to evaluate the capabilities of self-driving cars in various real-world scenarios.
- It can range from being a simple classification system to a detailed evaluation framework for assessing vehicle autonomy.
- It can be developed and maintained by standardization organizations and automotive industry stakeholders.
- It can inform policy-making and regulatory frameworks for autonomous vehicle deployment.
- ...
Example(s):
- the SAE International J3016 standard for levels of driving automation.
- the NHTSA Federal Automated Vehicles Policy.
- the UNECE Regulation No. 157 on Automated Lane Keeping Systems.
- ...
Counter-Example(s):
- a Manual Vehicle Classification Model, which categorizes vehicles based on non-autonomous features.
- a Non-Automated Safety Rating System, which assesses vehicle safety without considering automation levels.
- AGI Categorization Model
See: Autonomous Passenger Vehicle, Self-Driving Car, Driverless Technology, Vehicle Automation, Artificial Intelligence in Transportation

References

SAE International. "Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles." April 2021. URL: https://www.sae.org/standards/content/j3016_202104/
- QUOTE: The SAE J3016 standard provides a comprehensive taxonomy for the classification of driving automation systems, ranging from Level 0 (No Automation) to Level 5 (Full Automation), enabling a clear framework for understanding and communicating the capabilities and limitations of autonomous vehicles.

National Highway Traffic Safety Administration (NHTSA). "Federal Automated Vehicles Policy: Accelerating the Next Revolution In Roadway Safety." September 2020. URL: https://www.nhtsa.gov/technology-innovation/automated-vehicles-safety
- QUOTE: The Federal Automated Vehicles Policy outlines guidelines for the safe testing and deployment of automated driving systems, emphasizing the importance of categorizing vehicles by their level of autonomy to ensure safety and consistency across the industry.

United Nations Economic Commission for Europe (UNECE). "Regulation No. 157: Automated Lane Keeping Systems (ALKS)." June 2018. URL: https://unece.org/transport/vehicle-regulations
- QUOTE: UNECE Regulation No. 157 establishes the technical requirements and test procedures for Automated Lane Keeping Systems, a key feature of Level 3 and higher autonomous vehicles, contributing to the harmonization of