Literature Review on Maneuver-Based Scenario Description for Automated Driving Simulations

Author:

Neis Nicole1,Beyerer Juergen2

Affiliation:

1. Porsche Engineering Group GmbH,Weissach,Germany,71287

2. Fraunhofer IOSB,Karlsruhe,Germany,76131

Publisher

IEEE

Reference87 articles.

1. System validation of highly automated vehicles with a database of relevant traffic scenarios;pütz;12th ITS European Congress,2017

2. A Dynamic Bayesian Network for Vehicle Maneuver Prediction in Highway Driving Scenarios: Framework and Verification

3. Szenariobasierte simulationsgestützte funktionale Absicherung hochautomatisierter Fahrfunktionen durch Nutzung von Realdaten;pfeffer;Dissertation Karlsruher Instituts für Technologie (KIT) Karlsruhe,2020

4. Predicting Future Lane Changes of Other Highway Vehicles using RNN-based Deep Models;patel,2019

5. Funktionale Dekomposition - Ein Beitrag zur Überwindung der Parameterraumexplosion bei der Validation von höher automatisiertem Fahren;amersbach;11 Workshop Fahrerassistenzsysteme und automatisiertes Fahren,2019

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Sensitivity Analysis and Extended Evaluation of the Two-Level Stochastic Model for the Lateral Movement of Vehicles within their Lane;2024 10th International Conference on Automation, Robotics and Applications (ICARA);2024-02-22

2. An Approach to Systematic Data Acquisition and Data-Driven Simulation for the Safety Testing of Automated Driving Functions;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24

3. A Two-Level Stochastic Model for the Lateral Movement of Vehicles Within Their Lane Under Homogeneous Traffic Conditions;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24

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