Generic Detection and Search-based Test Case Generation of Urban Scenarios based on Real Driving Data-Reference-Cited by-同舟云学术

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Generic Detection and Search-based Test Case Generation of Urban Scenarios based on Real Driving Data

Published:2022-06-05 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Intelligent Vehicles Symposium (IV)
language:
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Author:

Thal Silvia¹,Henze Roman¹,Hasegawa Ryo²,Nakamura Hiroki²,Imanaga Hisashi²,Antona-Makoshi Jacobo²,Uchida Nobuyuki²

Affiliation:

1. Institute of Automotive Engineering, Technische Universität Braunschweig,Braunschweig,Germany,38106

2. Japan Automobile Research Institute,Ibaraki,Japan,305-0822

Funder

Ministry of Economy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9826996/9826997/09827198.pdf?arnumber=9827198

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. Enhancing Urban AEB Systems: Simulation-Based Analysis of Error Tolerance in Distance Estimation and Road-Tire Friction Coefficients;SAE Technical Paper Series;2024-07-02

2. Categorizing Data-Driven Methods for Test Scenario Generation to Assess Automated Driving Systems;IEEE Access;2024

3. 1001 Ways of Scenario Generation for Testing of Self-driving Cars: A Survey;2023 IEEE Intelligent Vehicles Symposium (IV);2023-06-04

4. Towards Realistic, Safety-Critical and Complete Test Case Catalogs for Safe Automated Driving in Urban Scenarios;2023 IEEE Intelligent Vehicles Symposium (IV);2023-06-04

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