Artificial Intelligence for Traffic Safety between Vehicles and Vulnerable Road Users

Informazioni relative al progetto

VeVuSafety

ID dell’accordo di sovvenzione: 101062870

DOI

10.3030/101062870

Progetto chiuso

Data della firma CE 22 Giugno 2022

Data di avvio 1 Ottobre 2022

Data di completamento 30 Settembre 2024

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 187 624,32

Coordinato da

UNIVERSITEIT TWENTE
Netherlands

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (2)

Communication, Dissemination & Outreach Plan

The plan describes the planned measures to maximize the impact of the project, including the dissemination and exploitation measures that are planned, and the target group(s) addressed. Regarding communication measures and public engagement strategy, the aim is to inform and reach out to society and show the activities performed, and the use and the benefits the project will have for citizens.

Career Development Plan

A Career Development Plan will be established jointly by the supervisors and the researcher In addition to research objectives this plan will comprise the researchers training and career needs including training on transferable skills teaching planning for publications and participation in conferences and events aiming at opening science and research to citizens

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cycle for all data sets that will be collected processed or generated by the action It is a document describing what data will be collected processed or generated and following what methodology and standards whether and how this data will be shared andor made open and how it will be curated and preserved

Pubblicazioni

Peer reviewed articles (4)

Generating evidential BEV maps in continuous driving space

Autori: Yunshuang Yuan; Hao Cheng; Michael Ying Yang; Monika Sester
Pubblicato in: ISPRS Journal of Photogrammetry and Remote Sensing 204 (2023), 2023, ISSN 0924-2716
Editore: Elsevier BV
DOI: 10.48550/arxiv.2302.02928

ISPRS Journal of Photogrammetry and Remote Sensing

Autori: Hao Cheng and Mengmeng Liu and Lin Chen and Hellward Broszio and Monika Sester and Michael Ying Yang
Pubblicato in: ISPRS Journal of Photogrammetry and Remote Sensing, 2023, ISSN 0924-2716
Editore: Elsevier
DOI: 10.1016/j.isprsjprs.2023.10.001

An AV-MV negotiation method based on synchronous prompt information on a multi-vehicle bottleneck road

Autori: Yang Li; Hao Cheng; Zhe Zeng; Barbara Deml; Hailong Liu
Pubblicato in: Transportation Research Interdisciplinary Perspectives, Vol 20, Iss , Pp 100845- (2023), 2023, ISSN 2590-1982
Editore: Elsevier
DOI: 10.13140/rg.2.2.27347.04649

Is silent ehmi enough? a passenger-centric study on effective ehmi for autonomous personal mobility vehicles in the field

Autori: Liu, Hailong; Li, Yang; Zeng, Zhe; Cheng, Hao; Peng, Chen; Wada, Takahiro
Pubblicato in: International Journal of Human–Computer Interaction, 2023, ISSN 1044-7318
Editore: Lawrence Erlbaum Associates Inc.
DOI: 10.48550/arxiv.2305.17862

Conference proceedings (4)

Tracing the Influence of Predecessors on Trajectory Prediction

Autori: Liu, Mengmeng; Cheng, Hao; Yang, Michael Ying
Pubblicato in: 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023
Editore: IEEE
DOI: 10.48550/arxiv.2308.05634

LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints

Autori: Mengmeng Liu, Hao Cheng, Lin Chen, Hellward Broszio, Jiangtao Li, Runjiang Zhao, Monika Sester, Michael Ying Yang
Pubblicato in: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024
Editore: IEEE/CVF
DOI: 10.48550/arXiv.2302.13933

ForceFormer: Exploring Social Force and Transformer for Pedestrian Trajectory Prediction

Autori: Weicheng Zhang; Hao Cheng; Fatema T. Johora; Monika Sester
Pubblicato in: 2023 IEEE Intelligent Vehicles Symposium (IV), 2023, ISBN 979-8-3503-4691-6
Editore: IEEE
DOI: 10.1109/IV55152.2023.10186643

An End-to-End Framework of Road User Detection, Tracking, and Prediction from Monocular Images

Autori: Cheng, Hao; Liu, Mengmeng; Chen, Lin
Pubblicato in: 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2024, ISSN 2153-0017
Editore: IEEE
DOI: 10.48550/arxiv.2308.05026