Artificial Intelligence for Traffic Safety between Vehicles and Vulnerable Road Users

Informations projet

VeVuSafety

N° de convention de subvention: 101062870

DOI

10.3030/101062870

Projet clôturé

Date de signature de la CE 22 Juin 2022

Date de début 1 Octobre 2022

Date de fin 30 Septembre 2024

Financé au titre de

• Marie Skłodowska-Curie Actions (MSCA)

Coût total

Aucune donnée

Contribution de l’UE

€ 187 624,32

Coordonné par

UNIVERSITEIT TWENTE
Netherlands

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Livrables

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

Publications

Peer reviewed articles (4)

Generating evidential BEV maps in continuous driving space

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

ISPRS Journal of Photogrammetry and Remote Sensing

Auteurs: Hao Cheng and Mengmeng Liu and Lin Chen and Hellward Broszio and Monika Sester and Michael Ying Yang
Publié dans: ISPRS Journal of Photogrammetry and Remote Sensing, 2023, ISSN 0924-2716
Éditeur: 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

Auteurs: Yang Li; Hao Cheng; Zhe Zeng; Barbara Deml; Hailong Liu
Publié dans: Transportation Research Interdisciplinary Perspectives, Vol 20, Iss , Pp 100845- (2023), 2023, ISSN 2590-1982
Éditeur: 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

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

Conference proceedings (4)

Tracing the Influence of Predecessors on Trajectory Prediction

Auteurs: Liu, Mengmeng; Cheng, Hao; Yang, Michael Ying
Publié dans: 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023
Éditeur: IEEE
DOI: 10.48550/arxiv.2308.05634

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

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

ForceFormer: Exploring Social Force and Transformer for Pedestrian Trajectory Prediction

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

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

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