Dream-like simulation abilities for automated cars

Informazioni relative al progetto

Dreams4Cars

ID dell’accordo di sovvenzione: 731593

DOI

10.3030/731593

Progetto chiuso

Data della firma CE 3 Novembre 2016

Data di avvio 1 Gennaio 2017

Data di completamento 31 Dicembre 2019

Finanziato da

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Costo totale

€ 4 302 865,00

Contributo UE

€ 4 302 865,00

Coordinato da

UNIVERSITA DEGLI STUDI DI TRENTO
Italy

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

Open Research Data Pilot (1)

System abilities (open data)

This is the public version of D5.2. It might be a public report or submitted paper (Open Access). This deliverable also includes the data from phase 2 in Open Access form and the licensed Agent for hands-on testing in virtual prototyping environments (OpenDS and CarMaker).

Documents, reports (8)

System architecture (release 2)

This is the updated version of D1.2 at month 24.

Evolved agent

This deliverable describes the evolution of the agent in the training phase (phase 2) according to WP5.2. This may also be a submitted/preprint paper.

Final Report (public summary)

This is a publishable summary excerpted from the final report.

Report on the Simulation system (public version)

This is a report (or, preferably, a paper, preprint or submitted by the date) which describes to the public the simulation system. The report will describe the algorithms in a scientific journal fashion but will not include the developed software.

Report on the Runtime system (public version)

This is a report (or, preferably, a paper, preprint or submitted by the date) which describes to the public the runtime system. The report will describe the algorithms in a scientific journal fashion but will not include the developed software.

System architecture (release 1)

This deliverable collects the output form WP1.2 (system architecture of the runtime and offline components) and WP1.3 (specifications for the vehicles and cloud). This is the first release at moth 6 (an updated release is planned for month 24).

Application domain requirements

This deliverable collects the output of WP1.1; i.e. it will define the application domain requirements that maximise the usefulness of the project and its integration into the mainstream of the road automation efforts. In particular It will consider the aimed levels of automation and functions, the current and future vehicle architectures and supporting technologies (sensors, communications, maps, control, etc.) and interfaces to support use both in real vehicles and in test beds (hardware and software in the loop).

Test methods and metrics (public version)

This is a public version of D5.1 (might be a paper, submitted or preprint at the date).

Other (2)

Seminars and presentations to potential customers

Few seminars and presentations carried out at the headquarters of each potential adopter of the technology

Project workshops

A project workshop (as described in part b) will be held in the last year.

Websites, patent fillings, videos etc. (2)

Project website

This is the project website.

Dissemination and communication materials: brochures, leaflets, poster, press releases, social media

This implements the activities of WP6.1 and WP6.2.

Pubblicazioni

Peer reviewed articles (10)

Biologically Guided Driver Modeling: the Stop Behavior of Human Car Drivers

Autori: Mauro Da Lio, Alessandro Mazzalai, Kevin Gurney, Andrea Saroldi
Pubblicato in: IEEE Transactions on Intelligent Transportation Systems, Numero 19/8, 2018, Pagina/e 2454-2469, ISSN 1524-9050
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TITS.2017.2751526

A taxonomic look at instance-based stream classifiers

Autori: Iain A.D. Gunn, Álvar Arnaiz-González, Ludmila I. Kuncheva
Pubblicato in: Neurocomputing, Numero 286, 2018, Pagina/e 167-178, ISSN 0925-2312
Editore: Elsevier BV
DOI: 10.1016/j.neucom.2018.01.062

Emergent Intentionality in Perception-Action Subsumption Hierarchies

Autori: David Windridge
Pubblicato in: Frontiers in Robotics and AI, Numero 4, 2017, ISSN 2296-9144
Editore: Frontiers Media S.A.
DOI: 10.3389/frobt.2017.00038

Representational fluidity in embodied (artificial) cognition

Autori: David Windridge, Serge Thill
Pubblicato in: Biosystems, Numero 172, 2018, Pagina/e 9-17, ISSN 0303-2647
Editore: Elsevier BV
DOI: 10.1016/j.biosystems.2018.07.007

An improved block matching algorithm for motion estimation in video sequences and application in robotics

Autori: Kamanasish Bhattacharjee, Sushil Kumar, Hari Mohan Pandey, Millie Pant, David Windridge, Ankit Chaudhary
Pubblicato in: Computers & Electrical Engineering, Numero 68, 2018, Pagina/e 92-106, ISSN 0045-7906
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.compeleceng.2018.03.045

Movement correction in DCE-MRI through windowed and reconstruction dynamic mode decomposition

Autori: Santosh Tirunagari, Norman Poh, Kevin Wells, Miroslaw Bober, Isky Gorden, David Windridge
Pubblicato in: Machine Vision and Applications, Numero 28/3-4, 2017, Pagina/e 393-407, ISSN 0932-8092
Editore: Springer Verlag
DOI: 10.1007/s00138-017-0835-5

Building a Spiking Neural Network Model of the Basal Ganglia on SpiNNaker

Autori: Basabdatta Sen-Bhattacharya, Sebastian James, Oliver Rhodes, Indar Sugiarto, Andrew Rowley, Alan B. Stokes, Kevin Gurney, Steve B. Furber
Pubblicato in: IEEE Transactions on Cognitive and Developmental Systems, 2018, Pagina/e 1-1, ISSN 2379-8920
Editore: IEEE
DOI: 10.1109/TCDS.2018.2797426

On Reliable Neural Network Sensorimotor Control in Autonomous Vehicles

Autori: Alice Plebe, Mauro Da Lio, Daniele Bortoluzzi
Pubblicato in: IEEE Transactions on Intelligent Transportation Systems, 2019, Pagina/e 1-12, ISSN 1524-9050
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2019.2896375

On the Stability and Robustness of Hierarchical Vehicle Lateral Control With Inverse/Forward Dynamics Quasi-Cancellation

Autori: Riccardo Dona, Gastone Pietro Rosati Papini, Mauro Da Lio, Luca Zaccarian
Pubblicato in: IEEE Transactions on Vehicular Technology, Numero 68/11, 2019, Pagina/e 10559-10570, ISSN 0018-9545
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tvt.2019.2941379

Modelling longitudinal vehicle dynamics with neural networks

Autori: Mauro Da Lio, Daniele Bortoluzzi, Gastone Pietro Rosati Papini
Pubblicato in: Vehicle System Dynamics, 2019, Pagina/e 1-19, ISSN 0042-3114
Editore: Swets & Zeitlinger
DOI: 10.1080/00423114.2019.1638947

Conference proceedings (12)

Exploiting dream-like simulation mechanisms to develop safer agents for automated driving: The “Dreams4Cars” EU research and innovation action

Autori: Mauro Da Lio, Alessandro Mazzalai, David Windridge, Serge Thill, Henrik Svensson, Mehmed Yuksel, Kevin Gurney, Andrea Saroldi, Luisa Andreone, Sean R. Anderson, Hermann-Josef Heich
Pubblicato in: 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), 2017, Pagina/e 1-6, ISBN 978-1-5386-1526-3
Editore: IEEE
DOI: 10.1109/ITSC.2017.8317649

A Hybrid Multi-Layer Architecture for Autonomous Vehicles Utilising a Hierarchical Perception-Action Dream Simulation Mechanism

Autori: Windridge, David; Gunn, Iain A. D.; Da Lio, Mauro; Mazzalai, Alessandro; Thill, Serge; Svensson, Henrik; Anderson, Sean; Blenkinsop, Alexander; Gurney, Kevin; James, Sebastian; Math, Rafael; Berghoefer, Elmar; Yueksel, Mehmed; Saroldi, Andrea; Andreone, Luisa; Heich, Hermann-Josef
Pubblicato in: EUCognition Meeting 2017, 2017
Editore: European Society for Cognitive Systems (www.eucognition.org)

Dream­like simulation abilities for automated cars: The Dreams4Cars project.

Autori: Serge, Thill; Da Lio, Mauro
Pubblicato in: EUCognition Meeting 2016, 2016
Editore: European Society for Cognitive Systems (www.eucognition.org)

Autonomous Vehicle Architecture Inspired by the Neurocognition of Human Driving

Autori: Mauro Da Lio, Alice Plebe, Daniele Bortoluzzi, Gastone Pietro Rosati Papini, Riccardo Donà
Pubblicato in: Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems, 2018, Pagina/e 507-513, ISBN 978-989-758-293-6
Editore: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0006785605070513

Linear System Identification of Longitudinal Vehicle Dynamics Versus Nonlinear Physical Modelling

Autori: Sebastian James, Sean A. Anderson
Pubblicato in: Proceedings of Control 2018, Numero Control 2018 - The 12th International UKACC Conference on Control, 2018
Editore: IEEE

Mental Imagery for Intelligent Vehicles

Autori: Alice Plebe, Riccardo Donà, Gastone Pietro Papini Rosati, Mauro Da Lio
Pubblicato in: Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems, 2019, Pagina/e 43-51, ISBN 978-989-758-374-2
Editore: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0007657500430051

Visual Perception for Autonomous Driving inspired by Convergence-Divergence Zones

Autori: Alice Plebe, Mauro Da Lio
Pubblicato in: 2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA), 2019, Pagina/e 204-208, ISBN 978-1-7281-3140-5
Editore: IEEE
DOI: 10.1109/ispa.2019.8868473

Modelling Relation Paths with Generative Adversarial for Representation Learning of knowledge Bases

Autori: Zia, Tehseen Zahid, Usman Windridge, David
Pubblicato in: 2019
Editore: 33rd Conference on Neural Information Processing Sys-tems

Revisiting direct neuralisation of first-order logic

Autori: Iian Gunn, David Windridge
Pubblicato in: 2019
Editore: Thirteenth International Workshop on Neural-Symbolic Learning and Reasoning

A Cognitively Informed Perception Model for Driving

Autori: Plebe, Alice; Da Lio, Mauro
Pubblicato in: IROS workshop: Towards Cognitive Vehicles: perception, learning and decision making under real-world constraints. Is bio-inspiration helpful?, 2019
Editore: IROS 2019

MSPRT action selection model for bio-inspired autonomous driving and intention prediction

Autori: Donà, Riccardo; Rosati Papini, Gastone Pietro; Valenti, Giammarco
Pubblicato in: IROS Workshop: Towards Cognitive Vehicles: perception, learning and decision making under real-world constraints. Is bio-inspiration helpful?, 2019
Editore: IROS 2019

A System for Human-like Driving Learning

Autori: Da Lio, Mauro; Plebe, Alice; Bortoluzzi, Daniele; Rosati Papini, Gastone Pietro; Donà, Riccardo
Pubblicato in: Proceedings of the 25th ITS World Congress 2018, 2018
Editore: ERTICO ITS Europe

Book chapters (2)

Variational Autoencoder Inspired by Brain’s Convergence–Divergence Zones for Autonomous Driving Application

Autori: Alice Plebe, Mauro Da Lio
Pubblicato in: Image Analysis and Processing – ICIAP 2019 - 20th International Conference, Trento, Italy, September 9–13, 2019, Proceedings, Part I, Numero 11751, 2019, Pagina/e 367-377, ISBN 978-3-030-30641-0
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-30642-7_33

Dreaming Mechanism for Training Bio-Inspired Driving Agents

Autori: Alice Plebe, Gastone Pietro Rosati Papini, Riccardo Donà, Mauro Da Lio
Pubblicato in: Intelligent Human Systems Integration 2019 - Proceedings of the 2nd International Conference on Intelligent Human Systems Integration (IHSI 2019): Integrating People and Intelligent Systems, February 7-10, 2019, San Diego, California, USA, Numero 903, 2019, Pagina/e 429-434, ISBN 978-3-030-11050-5
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-11051-2_65