October 16, 2024 conference-paper The Why, Where, When, What and How of Data for Data-driven Engineering of Automotive Systems IEEE International Symposium on Systems Engineering DOI: 10.1109/isse63315.2024.10741122 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 2 References 2 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access 6-Layer Model for a Structured Description and Categorization of Urban Traffic and Environment 2021 IEEE Access article Engineering Autonomous Vehicle Technology and Safety Open access cited by 2 patents 198 citations The Potential of Data-Driven Engineering Models: An Analysis Across Domains in the Automotive Development Process 2023 SAE technical papers on CD-ROM/SAE technical paper series conference-paper Engineering Systems Engineering Methodologies and Applications 5 citations 2 results