Abstract
The development of software components for autonomous driving functions should al-ways include an extensive and rigorous evaluation. Since real-world testing is expensive and safety-critical-especially when facing dynamic racing scenarios at the limit of handling-A favored approach is simulation-based testing. In this work, we pro-pose an open-source graphical user interface, which allows the generation of a multi-vehicle scenario in a regular or even a race environment. The under-lying method and implementation is elaborated in detail. Furthermore, we showcase the potential use-cases for the scenario-based validation of a safety assessment module, integrated into an autonomous driving software stack. Within this scope, we introduce three illustrative scenarios, each focusing on a different safety-critical aspect.
| Originalsprache | Englisch |
|---|---|
| Titel | 2020 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020 |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (elektronisch) | 9781728156415 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 10 Sept. 2020 |
| Veranstaltung | 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020 - Monte-Carlo, Monaco Dauer: 10 Sept. 2020 → 12 Sept. 2020 |
Publikationsreihe
| Name | 2020 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020 |
|---|
Konferenz
| Konferenz | 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020 |
|---|---|
| Land/Gebiet | Monaco |
| Ort | Monte-Carlo |
| Zeitraum | 10/09/20 → 12/09/20 |
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
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SDG 7 – Erschwingliche und saubere Energie
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