An Ontology-based Approach to Generate the Advanced Driver Assistance Use Cases of Highway Traffic-Reference-Cited by-同舟云学术

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An Ontology-based Approach to Generate the Advanced Driver Assistance Use Cases of Highway Traffic

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
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Author:

Chen Wei¹,Kloul Leïla²

Affiliation:

1. Laboratory DAVID, Versailles Saint-Quentin-en-Yvelines University, 45, avenue des États-Unis, 78000, Versailles, France, Institute of Technological Research SystemX, 8, Avenue de la Vauve, 91120, Palaiseau and France, --- Select a Country ---

2. Laboratory DAVID, Versailles Saint-Quentin-en-Yvelines University, 45, avenue des États-Unis, 78000, Versailles and France, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 24 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. TM-fuzzer: fuzzing autonomous driving systems through traffic management;Automated Software Engineering;2024-07-27

2. Generalization of cut-in pre-crash scenarios for autonomous vehicles based on accident data;Scientific Reports;2024-07-26

3. Fusing Images and Ontologies for Situation Representation in Knowledge Graphs;2024 25th IEEE International Conference on Mobile Data Management (MDM);2024-06-24

4. TM-fuzzer: fuzzing autonomous driving systems through traffic management;2024-04-03

5. Research on Specific Scenario Generation Methods for Autonomous Driving Simulation Tests;World Electric Vehicle Journal;2023-12-19

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