Work

Poster: Multimodal Data Analytics and Machine Learning for Software-Defined Vehicles

Year: 2024

Type: conference-paper

Source: IEEE/ACM Symposium on Edge Computing (SEC)

DOI: 10.1109/sec62691.2024.00074

Authors: Benjamin Kämä, Ella Peltonen

Institution: University of Oulu

Language: English

Topic: Autonomous Vehicle Technology and Safety

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4405974946

FWCI:

Cites: 12

Cited by:

Related to: 10