Glossary

Foretify feature which automates the real-time adjustment of scenario parameters during simulation to ensure that the intended objectives are achieved, even when minor deviations or uncertainties occur. This approach minimizes invalid test runs, reduces manual intervention, and preserves scenario intent, improving the efficiency and reliability of large-scale autonomous vehicle validation.

Key standards group for standards related to tools used in the development and V&V of Automated Driving Systems.

The hardware and software in a vehicle that together can perform all real-time driving tasks such as steering, acceleration, braking, and environment monitoring without human intervention, within defined operational limits. ADS typically refers to SAE Levels 3, 4, and 5, where the system takes full responsibility for dynamic vehicle control and response while engaged.

Refers to the specific component being evaluated or assessed in a testing environment. Deprecated term replaced by System Under Test (SUT).

A specialized programming language tailored to a specific application domain, offering precise syntax and features that make it easier to express domain-specific requirements and solutions compared to general-purpose languages. OpenSCENARIO DSL is used to define and simulate complex traffic situations and scenarios for autonomous vehicle testing and development.

OSC DSL scenarios which define the movements, multi-phase behaviors, and/or trajectories of one or more actors, along with environmental factors that an ADS may encounter. Evaluation Scenarios are used to: 1) Monitor, detect, and match scenarios, 2) Produce interval data for each matched scenario occurrence.

OSC DSL entities which independently detect, monitor, and produce interval data for the situations that an ADS encounters in real-world driving logs or simulation tests to evaluate the performance and ODD test coverage of the ADS.

The real-world environmental, geographical, and roadway factors that an autonomous driving system is reasonably likely to encounter during operation. EOC represents the actual conditions anticipated for the system, in contrast to the Operational Design Domain (ODD), which specifies the designed limits within which the system can safely operate.

A collaborative, open-source project that creates and provides free, editable maps of the world. It is built by a community of mappers who contribute and maintain geographic data, such as roads, trails, buildings, and more, from sources like GPS devices, aerial imagery, and manual survey.

Systematic process used to identify the primary underlying cause of defects or issues within the software. By pinpointing the root cause, it enables developers to implement effective solutions to prevent the recurrence of similar problems.

A measurable value used to assess the safety-related performance of an automated driving system. SPIs are metrics that indicate the likelihood of crash involvement or the presence of unsafe conditions, and are designed to serve as proxy or surrogate measures for actual crash risk.

A methodology for streamlining the development of abstract scenarios using OpenSCENARIO DSL for test generation and evaluation. SDM is based on the best practices for developing modular, consistent, and reusable scenarios.

Open-source, microscopic, multi-modal traffic simulation tool designed to simulate the movement of vehicles, pedestrians, and other traffic participants within complex road networks.

Quantitatively determines the degree to which the simulation accurately represents the real world for its intended use.

Used to describe the non-ego vehicle actors in a scenario. Some companies use the term “NPC”, but in Foretellix, we use the term “vehicle” for this purpose, e.g., the cut_in_vehicle is the vehicle cutting in front of the ego in a cut_in scenario. Vehicles categories include sedan, van, bus, box_truck, semi_trailer_truck, full_trailer_truck, motorcycle, and bicycle.

Verification ensures the simulation model complies with its requirements and specifications. It demonstrates the mathematical/physical correctness of models and the quality of the framework.

Refers to a pedestrian or cyclist actor. Note: In the industry this often refers to any road user that is not in a cabin car, meaning it often includes motorcycles.