CORDIS - Wyniki badań wspieranych przez UE
CORDIS

Cloud Large Scale Video Analysis

Rezultaty

Standardisation plan, liaison with open standard organisation and TESTFEST report

Standardisation plan, liaison with open standard organisation and TESTFEST report, updated in M33. Related tasks: T6.4.

Import/export interfaces and Annotation data model and storage specification

The initial import/export interfaces and Annotation data model and storage specification will be ready in M5. Related tasks: T3.1.

Analysis of strategic communication priorities and dissemination plan

Analysis of strategic communication priorities and dissemination plan, to be updated during the project if necessary. Related tasks: T6.1.

Report on scientific and industrial dissemination activities

Report on scientific and industrial dissemination activities until M18. Related tasks: T6.2.

Final report on data legal requirements and implemented data protection approaches

Final report on data legal requirements and implemented data protection approaches. Related tasks: T2.6, T2.2.

Ontology construction and Semantic search API

An initial version of the ontology construction and Semantic search API will be ready in M5 and updated and submitted in M26. Related tasks: T1.5, T3.3.

Initial standardisation plan

Initial standardisation plan. Related tasks: T6.4.

Initial requirements, specifications and reference architecture

An internal version of the initial requirements, specifications and reference architecture will be ready in M3, and updated in M13. Related tasks: T1.1, T1.2, T1.3, T1.4.

Final requirements, specifications and reference architecture

Final version of the requirements, specifications and reference architecture. Related tasks: T1.1, T1.2, T1.3, T1.4.

Report on data legal requirements and implemented data protection approaches

Report on data legal requirements and data protection approaches, to be updated in M26. Related tasks: T2.6, T2.2.

Network and cloud infrastructure optimisation and performance report

Network and cloud infrastructure optimisation and performance report, an initial version will be ready internally in M21, to be updated and submitted in M33. Related activities: T2.5.

Report on integration, validation and user trials

The report on integration, validation and user trials will be updated in M12, M24 and M36. Related tasks: T5.2, T5.3.

Cloud-LSVA workshop requirements and final evaluation

The Cloud-LSVA workshop requirements will be ready for the project partners in M3 and the final evaluation will be carried out in M35. Related tasks: T6.2.

Final report on scientific and industrial dissemination activities

Report on scientific and industrial dissemination activities until the end of the project. Related tasks: T6.2.

Import/export interfaces and Annotation data model and storage

Import/export interfaces and Annotation data model and storage demonstrator. Related tasks: T3.1.

Project dissemination materials

Project dissemination: presentation, flyer, website and printed material. Related tasks: T6.1.

Publikacje

Multimodal Deep Learning for Advanced Driving Systems

Autorzy: Nerea Aranjuelo, Luis Unzueta, Ignacio Arganda-Carreras, Oihana Otaegui
Opublikowane w: Articulated Motion and Deformable Objects, Numer 10945, 2018, Strona(/y) 95-105, ISBN 978-3-319-94543-9
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-319-94544-6_10

Fast Multi-Lane Detection and Modeling for Embedded Platforms

Autorzy: Marcos Nieto, Lorena Garcia, Orti Scnderos, Oihana Otaegui
Opublikowane w: 2018 26th European Signal Processing Conference (EUSIPCO), 2018, Strona(/y) 1032-1036, ISBN 978-9-0827-9701-5
Wydawca: IEEE
DOI: 10.23919/eusipco.2018.8553262

A Residual Encoder-Decoder Network for Semantic Segmentation in Autonomous Driving Scenarios

Autorzy: Y.G Naresh, Suzanne Little, Noel E. Oconnor
Opublikowane w: 2018 26th European Signal Processing Conference (EUSIPCO), 2018, Strona(/y) 1052-1056, ISBN 978-9-0827-9701-5
Wydawca: IEEE
DOI: 10.23919/eusipco.2018.8553161

Connected and autonomous vehicles: A cyber-risk classification framework

Autorzy: Barry Sheehan, Finbarr Murphy, Martin Mullins, Cian Ryan
Opublikowane w: Transportation Research Part A: Policy and Practice, 2018, ISSN 0965-8564
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.tra.2018.06.033

Training of Convolutional Networks on Multiple Heterogeneous Datasets for Street Scene Semantic Segmentation

Autorzy: Panagiotis Meletis, Gijs Dubbelman
Opublikowane w: arxiv.org, 2018
Wydawca: Cornell University

A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation

Autorzy: Rob Romijnders, Panagiotis Meletis, Gijs Dubbelman
Opublikowane w: arxiv.org, 2018
Wydawca: Cornell University

complex-yolo: real-time 3d object detection on point clouds

Autorzy: Martin Simon, Stefan Milz, Karl Amende, Horst-Michael Gross
Opublikowane w: arxiv.org, 2018
Wydawca: Cornell University

Panoptic segmentation with a joint semantic and instance segmentation network

Autorzy: de Geus, Daan, Panagiotis Meletis, and Gijs Dubbelman
Opublikowane w: arXiv.org, 2019
Wydawca: arXiv

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