학술논문

A Comprehensive Review on Ontologies for Scenario-based Testing in the Context of Autonomous Driving
Document Type
Conference
Source
2023 IEEE Intelligent Vehicles Symposium (IV) Intelligent Vehicles Symposium (IV), 2023 IEEE. :1-7 Jun, 2023
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Roads
Decision making
Ontologies
Topology
Complexity theory
Vehicle dynamics
Task analysis
Language
ISSN
2642-7214
Abstract
The verification and validation of autonomous driving vehicles remains a major challenge due to the high complexity of autonomous driving functions. Scenario-based testing is a promising method for validating such a complex system. Ontologies can be utilized to produce test scenarios that are both meaningful and relevant. One crucial aspect of this process is selecting the appropriate method for describing the entities involved. The level of detail and specific entity classes required will vary depending on the system being tested. It is important to choose an ontology that properly reflects these needs.This paper summarizes key representative ontologies for scenario-based testing and related use cases in the field of autonomous driving. The considered ontologies are classified according to their level of detail for both static facts and dynamic aspects. Furthermore, the ontologies are evaluated based on the presence of important entity classes and the relations between them.