Please use this identifier to cite or link to this item:
https://hdl.handle.net/1822/70410| Title: | Review of trends in automatic human activity recognition using synthetic audio-visual data |
| Author(s): | Jesus, Tiago Rafael Andrade Duarte, Júlio Miguel Marques Ferreira, Diana Durães, Dalila Alves Marcondes, Francisco Supino Santos, Flávio Arthur Oliveira Gomes, Marco Filipe Vieira Novais, Paulo Gonçalves, Filipe Fonseca, Joaquim Lori, Nicolas Francisco Abelha, António Machado, José Manuel |
| Keywords: | Autonomous car Multisensory fusion Audio-visual synthetic data |
| Issue date: | 1-Jan-2020 |
| Publisher: | Springer |
| Journal: | Lecture Notes in Computer Science |
| Abstract(s): | An in-depth study of knowledge and technologies was made related to the various scientific, technical, and industrial domains necessary for the acquisition of skills and capabilities for the design and development of a multisensory fusion system for vehicle cockpits. After an extensive literature review, it was possible to determine the baselines of the solution to be developed and obtain a pipeline prototype. |
| Type: | Conference paper |
| URI: | https://hdl.handle.net/1822/70410 |
| ISBN: | 978-3-030-62364-7 |
| DOI: | 10.1007/978-3-030-62365-4_53 |
| ISSN: | 0302-9743 |
| Peer-Reviewed: | yes |
| Access: | Restricted access (UMinho) |
| Appears in Collections: |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ideal-01.pdf Restricted access | 426,49 kB | Adobe PDF | View/Open |
