Acquire Driving Scenarios Efficiently: A Framework for Prospective Assessment of Cost-Optimal Scenario Acquisition-Reference-Cited by-同舟云学术

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Acquire Driving Scenarios Efficiently: A Framework for Prospective Assessment of Cost-Optimal Scenario Acquisition

Published:2023-09-24 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
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Author:

Glasmacher Christoph¹,Schuldes Michael¹,Weber Hendrik²,Wagener Nicolas¹,Eckstein Lutz¹

Affiliation:

1. Institute for Automotive Engineering, RWTH Aachen University,Aachen,Germany,52074

2. fka GmbH,Aachen,Germany,52074

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10420842/10420843/10422027.pdf?arnumber=10422027

Reference21 articles.

1. Survey on Scenario-Based Safety Assessment of Automated Vehicles

2. A Survey on Data-Driven Scenario Generation for Automated Vehicle Testing

3. Generation of Concrete Parameters from Logical Urban Driving Scenarios Based on Hybrid Graphs

4. The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections

Cited by 4 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. scenario.center: Methods from Real-world Data to a Scenario Database;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

2. Towards a Completeness Argumentation for Scenario Concepts;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

3. Scenarios and Scenario Databases for AV Safety Assurance;Lecture Notes in Mobility;2024

4. Improving 3D Object Detection for Autonomous Driving – A Case Study of Data-Driven Development;Proceedings;2024

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