A framework for collection, contextual enrichment and advanced analytics of automotive data

The thesis addresses the challenges related to collection, contextual enrichment and analytics of automotive data. Current trends that focus on vehicle connectivity, i.e. vehicle-2-infrastructure and vehicle-2-vehicle, are seen as beneficial for data collection and analysis. However, collecting data...

Full description

Permalink: http://skupni.nsk.hr/Record/fer.KOHA-OAI-FER:52932/Similar
Glavni autor: Vdović, Hrvoje (-)
Ostali autori: Babić, Jurica (Thesis advisor)
Vrsta građe: Knjiga
Jezik: eng
Impresum: Zagreb : H. Vdović ; Faculty of electrical engineering and computing, 2022.

APA stil citiranja

Vdović, H., & Babić, J. (2022). A framework for collection, contextual enrichment and advanced analytics of automotive data: A framework for collection, contextual enrichment and advanced analytics of automotive data : doctoral thesis. Zagreb: H. Vdović ; Faculty of electrical engineering and computing.

Chicago stil citiranja

Vdović, Hrvoje, and Jurica Babić. A framework for collection, contextual enrichment and advanced analytics of automotive data: A framework for collection, contextual enrichment and advanced analytics of automotive data : doctoral thesis. Zagreb: H. Vdović ; Faculty of electrical engineering and computing, 2022.

MLA stil citiranja

Vdović, Hrvoje, and Jurica Babić. A framework for collection, contextual enrichment and advanced analytics of automotive data: A framework for collection, contextual enrichment and advanced analytics of automotive data : doctoral thesis. Zagreb: H. Vdović ; Faculty of electrical engineering and computing, 2022.