Maneuver-based Resimulation of Driving Scenarios based on Real Driving Data-Reference-Cited by-同舟云学术

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Maneuver-based Resimulation of Driving Scenarios based on Real Driving Data

Published:2021-07-11 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Intelligent Vehicles Symposium (IV)
language:
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Author:

Montanari Francesco,Stadler Christoph,Sichermann Jorg,German Reinhard,Djanatliev Anatoli

Funder

German Federal Ministry of Transport and Digital Infrastructure (BMVI)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9575127/9575130/09575441.pdf?arnumber=9575441

Cited by 20 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. Chat2Scenario: Scenario Extraction From Dataset Through Utilization of Large Language Model;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

2. Divide and Conquer: A Systematic Approach for Industrial Scale High-Definition OpenDRIVE Generation from Sparse Point Clouds;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

3. Adaptive Pedestrian Agent Modeling for Scenario-based Testing of Autonomous Vehicles through Behavior Retargeting;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. 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

5. SCTrans: Constructing a Large Public Scenario Dataset for Simulation Testing of Autonomous Driving Systems;Proceedings of the IEEE/ACM 46th International Conference on Software Engineering;2024-02-06

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