Automatic Disengagement Scenario Reconstruction Based on Urban Test Drives of Automated Vehicles
Author:
Affiliation:
1. Volkswagen AG,Wolfsburg,Germany
2. Technische Universität Braunschweig,Braunschweig,Germany
3. Technische Universität Dortmund,Dortmund,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10186382/10186383/10186640.pdf?arnumber=10186640
Reference22 articles.
1. Semantic classification of urban traffic scenarios for the validation of automated driving systems;hartjen;Ph D Dissertation,2023
2. Classification of driving maneuvers in urban traffic for parametrization of test scenarios;hartjen;Tagung Automatisiertes Fahren,2019
3. Scenario Parameter Generation Method and Scenario Representativeness Metric for Scenario-Based Assessment of Automated Vehicles
4. On a formal model of safe and scalable self-driving cars;shalev-shwartz,2018
5. Maneuver-based Resimulation of Driving Scenarios based on Real Driving Data
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1. Chat2Scenario: Scenario Extraction From Dataset Through Utilization of Large Language Model;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02
2. Augmenting Scenario Description Languages for Intelligence Testing of Automated Driving Systems;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02
3. LK-TDDQN:A Lane Keeping Transfer Double Deep Q Network Framework for Autonomous Vehicles;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04
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