Test Framework for Automatic Test Case Generation and Execution Aimed at Developing Trustworthy AVs from Both Verifiability and Certifiability Aspects
Xizhe Zhang, Siddartha Khastgir, Hamid Reza Asgari, Paul A Jennings · 2021
Recent developments in the testing and safety assurances of Automated Driving Systems (ADSs) have shifted from a traditional distance-based approach (i.e. vehicle miles travelled) to scenario-based approach. Various studies have been conducted on different aspects of the scenario-based testing workflow such as scenario generation, scenario description language, and scenario analysis. This study intends to build on top of the individual functional modules introduced for scenario-based testing and contributes towards a common test framework, based on the experience gained from the Innovate UK's OmniCAV project. The Test Framework introduced in this paper consists of: Description of Test Scenarios, Different Types of Testing and Allocation of Tests, Generation of Test Cases, Data Collection & Analysis, Correlation of obtained Results and Evidence Gathering for functional and behavioral verification. The framework and processes defined here have relevance to real-world practice and contribute towards both verifiability and certifiability of ADSs.