Skip to main content

Dream-like simulation abilities for automated cars

Rezultaty

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).

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).

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.

Publikacje

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

Autorzy: Mauro Da Lio, Alessandro Mazzalai, Kevin Gurney, Andrea Saroldi
Opublikowane w: IEEE Transactions on Intelligent Transportation Systems, Issue 19/8, 2018, Page(s) 2454-2469, ISSN 1524-9050
DOI: 10.1109/TITS.2017.2751526

A taxonomic look at instance-based stream classifiers

Autorzy: Iain A.D. Gunn, Álvar Arnaiz-González, Ludmila I. Kuncheva
Opublikowane w: Neurocomputing, Issue 286, 2018, Page(s) 167-178, ISSN 0925-2312
DOI: 10.1016/j.neucom.2018.01.062

Emergent Intentionality in Perception-Action Subsumption Hierarchies

Autorzy: David Windridge
Opublikowane w: Frontiers in Robotics and AI, Issue 4, 2017, ISSN 2296-9144
DOI: 10.3389/frobt.2017.00038

Representational fluidity in embodied (artificial) cognition

Autorzy: David Windridge, Serge Thill
Opublikowane w: Biosystems, Issue 172, 2018, Page(s) 9-17, ISSN 0303-2647
DOI: 10.1016/j.biosystems.2018.07.007

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

Autorzy: Kamanasish Bhattacharjee, Sushil Kumar, Hari Mohan Pandey, Millie Pant, David Windridge, Ankit Chaudhary
Opublikowane w: Computers & Electrical Engineering, Issue 68, 2018, Page(s) 92-106, ISSN 0045-7906
DOI: 10.1016/j.compeleceng.2018.03.045

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

Autorzy: Santosh Tirunagari, Norman Poh, Kevin Wells, Miroslaw Bober, Isky Gorden, David Windridge
Opublikowane w: Machine Vision and Applications, Issue 28/3-4, 2017, Page(s) 393-407, ISSN 0932-8092
DOI: 10.1007/s00138-017-0835-5

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

Autorzy: Basabdatta Sen-Bhattacharya, Sebastian James, Oliver Rhodes, Indar Sugiarto, Andrew Rowley, Alan B. Stokes, Kevin Gurney, Steve B. Furber
Opublikowane w: IEEE Transactions on Cognitive and Developmental Systems, 2018, Page(s) 1-1, ISSN 2379-8920
DOI: 10.1109/TCDS.2018.2797426

On Reliable Neural Network Sensorimotor Control in Autonomous Vehicles

Autorzy: Alice Plebe, Mauro Da Lio, Daniele Bortoluzzi
Opublikowane w: IEEE Transactions on Intelligent Transportation Systems, 2019, Page(s) 1-12, ISSN 1524-9050
DOI: 10.1109/tits.2019.2896375

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

Autorzy: Riccardo Dona, Gastone Pietro Rosati Papini, Mauro Da Lio, Luca Zaccarian
Opublikowane w: IEEE Transactions on Vehicular Technology, Issue 68/11, 2019, Page(s) 10559-10570, ISSN 0018-9545
DOI: 10.1109/tvt.2019.2941379

Modelling longitudinal vehicle dynamics with neural networks

Autorzy: Mauro Da Lio, Daniele Bortoluzzi, Gastone Pietro Rosati Papini
Opublikowane w: Vehicle System Dynamics, 2019, Page(s) 1-19, ISSN 0042-3114
DOI: 10.1080/00423114.2019.1638947

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

Autorzy: 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
Opublikowane w: 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), 2017, Page(s) 1-6
DOI: 10.1109/ITSC.2017.8317649

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

Autorzy: 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
Opublikowane w: EUCognition Meeting 2017, 2017

Dream­like simulation abilities for automated cars: The Dreams4Cars project.

Autorzy: Serge, Thill; Da Lio, Mauro
Opublikowane w: EUCognition Meeting 2016, 2016

Autonomous Vehicle Architecture Inspired by the Neurocognition of Human Driving

Autorzy: Mauro Da Lio, Alice Plebe, Daniele Bortoluzzi, Gastone Pietro Rosati Papini, Riccardo Donà
Opublikowane w: Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems, 2018, Page(s) 507-513
DOI: 10.5220/0006785605070513

Linear System Identification of Longitudinal Vehicle Dynamics Versus Nonlinear Physical Modelling

Autorzy: Sebastian James, Sean A. Anderson
Opublikowane w: Proceedings of Control 2018, Issue Control 2018 - The 12th International UKACC Conference on Control, 2018

Mental Imagery for Intelligent Vehicles

Autorzy: Alice Plebe, Riccardo Donà, Gastone Pietro Papini Rosati, Mauro Da Lio
Opublikowane w: Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems, 2019, Page(s) 43-51
DOI: 10.5220/0007657500430051

Visual Perception for Autonomous Driving inspired by Convergence-Divergence Zones

Autorzy: Alice Plebe, Mauro Da Lio
Opublikowane w: 2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA), 2019, Page(s) 204-208
DOI: 10.1109/ispa.2019.8868473

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

Autorzy: Zia, Tehseen Zahid, Usman Windridge, David
Opublikowane w: 2019

Revisiting direct neuralisation of first-order logic

Autorzy: Iian Gunn, David Windridge
Opublikowane w: 2019

A Cognitively Informed Perception Model for Driving

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

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

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

A System for Human-like Driving Learning

Autorzy: Da Lio, Mauro; Plebe, Alice; Bortoluzzi, Daniele; Rosati Papini, Gastone Pietro; Donà, Riccardo
Opublikowane w: Proceedings of the 25th ITS World Congress 2018, 2018

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

Autorzy: Alice Plebe, Mauro Da Lio
Opublikowane w: Image Analysis and Processing – ICIAP 2019 - 20th International Conference, Trento, Italy, September 9–13, 2019, Proceedings, Part I, Issue 11751, 2019, Page(s) 367-377
DOI: 10.1007/978-3-030-30642-7_33

Dreaming Mechanism for Training Bio-Inspired Driving Agents

Autorzy: Alice Plebe, Gastone Pietro Rosati Papini, Riccardo Donà, Mauro Da Lio
Opublikowane w: 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, Issue 903, 2019, Page(s) 429-434
DOI: 10.1007/978-3-030-11051-2_65

Zbiory danych

Dreams4Cars Experimental data from Autonomous Test Vehicle

Autorzy: Da Lio, Mauro; Berghöfer, Elmar; Yüksel, Mehmed
Opublikowane w: Zenodo

Dreams4Cars final Agent's abilities video

Autorzy: Da Lio, Mauro; Doná, Riccardo; Saroldi , Andrea
Opublikowane w: Zenodo

Dreams4Cars Vision video

Autorzy: Da Lio, Mauro; Donà, Riccardo
Opublikowane w: Zenodo

Oprogramowanie

Dreams4Cars Simulation tools and data

Autorzy: Da Lio, Mauro; Math, Rafael
DOI: 10.5281/zenodo.3582053; 10.5281/zenodo.3582054
Wydawca: Zenodo

Dreams4Cars: Agent Architecture for Adaptive Behaviours in Autonomous Driving — supplementary material

Autorzy: Da Lio, Mauro; Donà, Riccardo
DOI: 10.5281/zenodo.3813250; 10.5281/zenodo.3813249
Wydawca: Zenodo