openPASS
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About openPASS

Idea of openPASS

Harmonized and flexible platform for scenario-based traffic simulation of advanced driver assistance systems and automated driving systems.

Summary

The core vision and objectives behind the openPASS platform.

Open Platform for Assessment of Safety Systems

Virtual Simulation

The rise of advanced driver assistance systems and automated driving systems leads to the need of virtual simulation to assess these systems and their effects.

Target Objective

Main agreed target objective is to become a broadly accepted effectiveness assessment platform for advanced driver assistance systems and automated driving systems.

Use Cases

How openPASS is applied in real-world simulation scenarios.

Crash Re-Simulations

Crash Re-Simulations (PCM)

  • PCM of GIDAS: PreCrash Matrix from the database of the German In-Depth Accident Study.
  • Re-simulate real crashes from the past, but with cars having advanced driver assistance systems or automated driving systems and assess if the tested technology would have improved the safety.
Scenario-based traffic simulations

Scenario-based traffic simulations

  • This is the most common use case for openPASS.
  • Enables simulation of whole traffic scenarios. That includes stochastic variation of those scenarios, intervention through detection of events and triggered actions and much more.
  • To get a better understanding about how these simulations are performed, please look at the scenario-based simulation tutorial.

Highlights

Key features and capabilities that make openPASS a powerful simulation platform.

Automated Driving

Integration of advanced driver assistance systems and automated driving systems into openPASS.

Harmonization

Tool development through a unique collaboration between BMW, Bosch, Mercedes and Volkswagen.

Open Source

Available for everyone under the Eclipse Public License v2.0.

Traffic Simulation

Traffic simulation of highway, rural and urban scenarios.

Support of Standards

Support of ASAM OpenDRIVE, OpenSCENARIO and OSI as well as Modelica FMI and SSP (supported in future).

Stochastic Variation

Conducting thousands of simulations through stochastic variation.

Modularity

Connection of user-defined components with the simulation core through a modular approach.

Reproducibility

Reproducibility of simulation results through determinism.

Visualization

Visualization of the simulation outputs in a 3D animation using Unity.

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