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CORDIS

Vision Inspired Driver Assistance Systems

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

OUTSIDE scene monitoring system specification, design, and implementation (second version) (opens in new window)

Updated report describing the specifications and design of SW and HW components to be used for the development of the OUTSIDE modules.

INSIDE monitoring specification, design and implementation (initial version) (opens in new window)

Initial report describing the specifications and design of SW and HW components to be used for the development of the INSIDE modules.

Underwriting, legal and ethics protocols for future ADAS development (final version) (opens in new window)

Final description of created protocols for speeded up adaption of future ADAS innovation, including a road map.

Driver model and behaviour assessment (final version) (opens in new window)

Final report on the developments for creating and updating personalised and statistical models of the driver status and behaviour.

Product liability (final version) (opens in new window)

Final analysis of the changes in product liability of modules in technical and contractual details.

Data legal requirements reference guide (initial version) (opens in new window)

First version of the reference document with best practices and guidelines for data management and protection.

Standardisation plan (first version) (opens in new window)

Initial analysis of existing standards, open working groups, and liaison with open standard organisation.

Use cases definition using Human-Centred Design methodology (second version) (opens in new window)

Updated version of the report containing description on use cases defined following the HCD methodology, updated at each cycle.

Use cases definition using Human-Centred Design methodology (first version) (opens in new window)

Initial version of the report containing description on use cases defined following the HCD methodology, updated at each cycle.

Report on scientific and industrial dissemination activities (final version) (opens in new window)

The scientific production of the project is reported periodically along with the activities carried out to communicate the project results to the industry and academia.

INSIDE monitoring specification, design and implementation (final version) (opens in new window)

Final report describing the specifications and design of SW and HW components to be used for the development of the INSIDE modules.

TESTFEST report and completion of standardisation (opens in new window)

Report on the TESTFEST event and the tested and validated functionalities related to the set of standards identified by the stakeholders.

Integration of scene context data: Technical specification (final version) (opens in new window)

Description of the integration layers used to inject LDM and scene descriptions for the analysis modules of this WP.

Report on scientific and industrial dissemination activities (first version) (opens in new window)

The scientific production of the project is reported periodically along with the activities carried out to communicate the project results to the industry nand academia.

Integration of scene context data: Technical specification (initial version) (opens in new window)

Initial description of the integration layers used to inject LDM and scene descriptions for the analysis modules of this WP.

Legal responsibility and ethical considerations (final version) (opens in new window)

Manual of legal considerations and guide related to ethical issues arisen from the usage of innovative ADAS technology.

Dissemination plan (final version) (opens in new window)

Final analysis of strategic communication priorities and dissemination plan.

Use cases definition using Human-Centred Design methodology (final version) (opens in new window)

Final version of the report containing description on use cases defined following the HCD methodology, updated at each cycle.

Visual driver monitoring (final version) (opens in new window)

Final description of the modules developed for the detection and analysis of driver attention and alertness, mainly using vision-based techniques.

Legal responsibility and ethical considerations (initial version) (opens in new window)

First version of the manual of legal considerations and guide related to ethical issues arisen from the usage of innovative ADAS technology.

Dissemination plan (first version) (opens in new window)

Initial analysis of strategic communication priorities and dissemination plan.

Report on scientific and industrial dissemination activities (second version) (opens in new window)

The scientific production of the project is reported periodically along with the activities carried out to communicate the project results to the industry nand academia.

Specifications of the network and cloud infrastructure (second version) (opens in new window)

Updated specifications of the requirements for networking, and cloud services, such as storage and processing, required for the development and testing stages.

IPR management guide (opens in new window)

Reference guide with the description of IPR management principles.

Model for situation-specific risk prediction, estimation and behaviour planning (first version) (opens in new window)

Initial design and developments of models able to describe predictions and plans based on risk analysis.

Model for situation-specific risk prediction, estimation and behaviour planning (final version) (opens in new window)

Final design and developments of models able to describe predictions and plans based on risk analysis.

Detection, tracking and classification of static and dynamic objects (initial version) (opens in new window)

Initial description of the techniques developed for the detection of objects in the surrounds of the vehicle.

Requirements, specifications and reference architecture (final version) (opens in new window)

Final description of the system functionality and reference architecture mapping the use cases.

Specifications of the network and cloud infrastructure (first version) (opens in new window)

Initial specifications of the requirements for networking, and cloud services, such as storage and processing, required for the development and testing stages.

OUTSIDE scene monitoring system specification, design, and implementation (first version) (opens in new window)

Initial report describing the specifications and design of SW and HW components to be used for the development of the OUTSIDE modules.

OUTSIDE scene monitoring system, LDM generation (initial version) (opens in new window)

Report on the modules designed to compose the scene generation and its content in the form of Local Dynamic Maps.

Product liability (initial version) (opens in new window)

Analysis of the changes in product liability of modules in technical and contractual details.

OUTSIDE scene monitoring system specification, design, and implementation (final version) (opens in new window)

Final report describing the specifications and design of SW and HW components to be used for the development of the OUTSIDE modules.

Personal and fleet auto liability (initial version) (opens in new window)

Initial description of insurable risk metric to be fed back to development WPs related to technical innovations and their impact on personal and fleet auto liability.

Model for situation-specific risk prediction, estimation and behaviour planning (second version) (opens in new window)

Updated design and developments of models able to describe predictions and plans based on risk analysis.

Data legal requirements reference guide (final version) (opens in new window)

Final version of the reference document with best practices and guidelines for data management and protection.

Driver model and behaviour assessment (first version) (opens in new window)

First report on the developments for creating and updating personalised and statistical models of the driver status and behaviour.

Standardisation plan (second version) (opens in new window)

Updated analysis of existing standards, open working groups, and liaison with open standard organisation.

Dissemination plan (second version) (opens in new window)

Updated analysis of strategic communication priorities and dissemination plan.

Personal and fleet auto liability (final version) (opens in new window)

Final description of insurable risk metric to be fed back to development WPs related to technical innovations and their impact on personal and fleet auto liability.

Visual driver monitoring (first version) (opens in new window)

Initial description of the modules developed for the detection and analysis of driver attention and alertness, mainly using vision-based techniques.

OUTSIDE scene monitoring system, LDM generation (final version) (opens in new window)

Final report on the modules designed to compose the scene generation and its content in the form of Local Dynamic Maps.

Standardisation plan (final version) (opens in new window)

Analysis of existing standards, open working groups, and liaison with open standard organisation.

Detection, tracking and classification of static and dynamic objects (final version) (opens in new window)

Final description of the techniques developed for the detection of objects in the surrounds of the vehicle.

Requirements, specifications and reference architecture (first version) (opens in new window)

Initial version of the description of the system functionality and reference architecture mapping the use cases, updated at each cycle.

Specifications of the network and cloud infrastructure (final version) (opens in new window)

Final specifications of the requirements for networking, and cloud services, such as storage and processing, required for the development and testing stages.

Underwriting, legal and ethics protocols for future ADAS development (initial version) (opens in new window)

Description of created protocols for speeded up adaption of future ADAS innovation, including a road map.

Requirements, specifications and reference architecture (second version) (opens in new window)

Updated version of the description of the system functionality and reference architecture mapping the use cases, updated at each cycle.

Final dissemination material (opens in new window)

Project updated presentation and flyers, printed materials, etc.

Dissemination material (opens in new window)

Project presentation, website, etc.

VI-DAS second workshop (opens in new window)

Periodic reports containing the description of the Requirements workshop, the Benefits, risks and ethic workshop, and the Final VI-DAS workshop.

VI-DAS first workshop (opens in new window)

Periodic reports containing the description of the Requirements workshop, the Benefits, risks and ethic workshop, and the Final VI-DAS workshop.

VI-DAS third workshop (opens in new window)

Periodic reports containing the description of the Requirements workshop, the Benefits, risks and ethic workshop, and the Final VI-DAS workshop.

Publications

Applying crash data to injury claims - an investigation of determinant factors in severe motor vehicle accidents (opens in new window)

Author(s): Darren Shannon, Finbarr Murphy, Martin Mullins, Julian Eggert
Published in: Accident Analysis & Prevention, Issue 113, 2018, Page(s) 244-256, ISSN 0001-4575
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.aap.2018.01.037

Semi-autonomous vehicle motor insurance: A Bayesian Network risk transfer approach (opens in new window)

Author(s): Barry Sheehan, Finbarr Murphy, Cian Ryan, Martin Mullins, Hai Yue Liu
Published in: Transportation Research Part C: Emerging Technologies, Issue 82, 2017, Page(s) 124-137, ISSN 0968-090X
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.trc.2017.06.015

The Impact of Autonomous Vehicle Technologies on Product Recall Risk

Author(s): Martin Mullins, et all.
Published in: Intl. Journal of Production Research, 2018, ISSN 0020-7543
Publisher: Taylor & Francis

Taking responsibility: A responsible research and innovation (RRI) perspective on insurance issues of semi-autonomous driving (opens in new window)

Author(s): Martina F. Baumann, Claudia Brändle, Christopher Coenen, Silke Zimmer-Merkle
Published in: Transportation Research Part A: Policy and Practice, Issue Volume 124, 2018, Page(s) 557-572, ISSN 0965-8564
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.tra.2018.05.004

ASTEROIDS: a stixel tracking extrapolation-based relevant obstacle impact detection system

Author(s): W.P. Sanberg, G. Dubbelman, P.H.N. de With
Published in: IEEE Transactions in Intelligent Vehicles (T-IV), 2019, ISSN 2379-8904
Publisher: IEEE

Intersection Warning System for Occlusion Risks Using Relational Local Dynamic Maps (opens in new window)

Author(s): Florian Damerow, Yuda Li, Tim Puphal, Benedict Flade, Julian Eggert
Published in: IEEE Intelligent Transportation Systems Magazine, Issue 10/4, 2018, Page(s) 47-59, ISSN 1939-1390
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mits.2018.2867525

From semi to fully autonomous vehicles: New emerging risks and ethico-legal challenges for human-machine interactions

Author(s): Bellet, Thierry; Cunneen, Martin; Mullins, Martin; Murphy, Finbarr; Pütz, Fabian; Spickermann, Florian; Braendle, Claudia; Baumann, Martina Felicitas
Published in: Transportation Research Part F, Issue Transportation Research Part F, 63 (2019), 2019, Page(s) 153–164, ISSN 1369-8478
Publisher: Pergamon Press Ltd.

From stixels to asteroids: Towards a collision warning system using stereo vision (opens in new window)

Author(s): Willem P. Sanberg, Gijs Dubbelman, Peter H.N. de With
Published in: Electronic Imaging, Issue 2019/15, 2019, Page(s) 34-1-34-7, ISSN 2470-1173
Publisher: Society for Imaging Science and Technology
DOI: 10.2352/issn.2470-1173.2019.15.avm-034

Continuous Risk Measures for Driving Support (opens in new window)

Author(s): Julian Eggert, Tim Puphal
Published in: International Journal of Automotive Engineering, Issue Volume 9 Issue 3, 2018, Page(s) Pages 130-137, ISSN 2185-0992
Publisher: JSAE
DOI: 10.20485/jsaeijae.9.3_130

Probabilistic Uncertainty-Aware Risk Spot Detector for Naturalistic Driving (opens in new window)

Author(s): Tim Puphal, Malte Probst, Julian Eggert
Published in: IEEE Transactions on Intelligent Vehicles, Issue 4/3, 2019, Page(s) 406-415, ISSN 2379-8904
Publisher: IEEE
DOI: 10.1109/tiv.2019.2919465

Artificial Driving Intelligence and Moral Agency: Examining the Decision Ontology of Unavoidable Road Traffic Accidents through the Prism of the Trolley Dilemma (opens in new window)

Author(s): Martin Cunneen, Martin Mullins, Finbarr Murphy, Seán Gaines
Published in: Applied Artificial Intelligence, Issue 33/3, 2018, Page(s) 267-293, ISSN 0883-9514
Publisher: Taylor & Francis
DOI: 10.1080/08839514.2018.1560124

Autonomous Vehicles and Embedded Artificial Intelligence: The Challenges of Framing Machine Driving Decisions (opens in new window)

Author(s): Martin Cunneen, Martin Mullins, Finbarr Murphy
Published in: Applied Artificial Intelligence, Issue 33/8, 2019, Page(s) 706-731, ISSN 0883-9514
Publisher: Taylor & Francis
DOI: 10.1080/08839514.2019.1600301

Semiautonomous Vehicle Risk Analysis: A Telematics-Based Anomaly Detection Approach (opens in new window)

Author(s): Cian Ryan, Finbarr Murphy, Martin Mullins
Published in: Risk Analysis, Issue 39/5, 2019, Page(s) 1125-1140, ISSN 0272-4332
Publisher: Blackwell Publishing Inc.
DOI: 10.1111/risa.13217

Connected and autonomous vehicles: A cyber-risk classification framework (opens in new window)

Author(s): Barry Sheehan, Finbarr Murphy, Martin Mullins, Cian Ryan
Published in: Transportation Research Part A: Policy and Practice, Issue 124, 2019, Page(s) 523-536, ISSN 0965-8564
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.tra.2018.06.033

Reasonable, Adequate and Efficient Allocation of Liability Costs for Automated Vehicles: A Case Study of the German Liability and Insurance Framework (opens in new window)

Author(s): Fabian PÜTZ, Finbarr MURPHY, Martin MULLINS, Karl MAIER, Raymond FRIEL, Torsten ROHLFS
Published in: European Journal of Risk Regulation, Issue 9/3, 2018, Page(s) 548-563, ISSN 1867-299X
Publisher: Lexxion
DOI: 10.1017/err.2018.35

Connected automated vehicles and insurance: Analysing future market-structure from a business ecosystem perspective (opens in new window)

Author(s): Fabian Pütz, Finbarr Murphy, Martin Mullins, Lisa O'Malley
Published in: Technology in Society, Issue 59, 2019, Page(s) 101182, ISSN 0160-791X
Publisher: Elsevier BV
DOI: 10.1016/j.techsoc.2019.101182

Autonomous Vehicles and Avoiding the Trolley (Dilemma): Vehicle Perception, Classification, and the Challenges of Framing Decision Ethics (opens in new window)

Author(s): Martin Cunneen, Martin Mullins, Finbarr Murphy, Darren Shannon, Irini Furxhi, Cian Ryan
Published in: Cybernetics and Systems, 2019, Page(s) 1-22, ISSN 0196-9722
Publisher: Taylor & Francis
DOI: 10.1080/01969722.2019.1660541

Driving to a future without accidents? Connected automated vehicles’ impact on accident frequency and motor insurance risk (opens in new window)

Author(s): Fabian Pütz, Finbarr Murphy, Martin Mullins
Published in: Environment Systems and Decisions, 2019, ISSN 2194-5403
Publisher: Springer Science + Business Media
DOI: 10.1007/s10669-019-09739-x

Editorial for the special issue – Liability and insurance for semi-autonomous vehicles (opens in new window)

Author(s): Finbarr Murphy, Martin Mullins
Published in: Transportation Research Part A: Policy and Practice, Issue 124, 2019, Page(s) 505-506, ISSN 0965-8564
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.tra.2018.07.014

Cloud-support for collaborative services in connected cars scenarios (opens in new window)

Author(s): Cristian Olariu, Simon McLoughlin, Gary Thompson
Published in: 2017 IEEE Vehicular Networking Conference (VNC), 2017, Page(s) 255-258, ISBN 978-1-5386-0986-6
Publisher: IEEE
DOI: 10.1109/VNC.2017.8275630

Driving Situation Analysis with Relational Local Dynamic Maps (R-LDM)

Author(s): Julian Eggert, Daniela Aguirre Salazar, Tim Puphal and Benedict Flade
Published in: International Symposium on Future Active Safety Technology (FAST-zero), 2017
Publisher: SAE of Japan

Continuous Risk Measures for ADAS and AD

Author(s): Julian Eggert and Tim Puphal
Published in: International Symposium on Future Active Safety Technology (FAST-zero), 2017
Publisher: SAE of Japan

Risk-based driver assistance for approaching intersections of limited visibility (opens in new window)

Author(s): Florian Damerow, Tim Puphal, Yuda Li, Julian Eggert
Published in: 2017 IEEE International Conference on Vehicular Electronics and Safety (ICVES), 2017, Page(s) 178-184, ISBN 978-1-5090-5677-4
Publisher: IEEE
DOI: 10.1109/ICVES.2017.7991922

Continuous Risk Measures for ADAS and AD

Author(s): Julian Eggert and Tim Puphal
Published in: IEEE International Conference on Vehicular Electronics and Safety (ICVES), 2017
Publisher: ICVES

Risk Assessment of Semi-Autonomous vehicles Using Vehicle Behaviour Analysis: A Paradigm Shift in Motor Insurance

Author(s): Cian Ryan
Published in: 26th SRA-E conference, 2017
Publisher: SRA

Comfortable Priority Handling with Predictive Velocity Optimization for Intersection Crossings

Author(s): T. Puphal, M. Probst, M. Komuro, Y. Li, J. Eggert
Published in: Intelligent Transportation Systems Conference (ITSC), 2019
Publisher: IEEE

Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach

Author(s): Kose, Neslihan; Kopuklu, Okan; Unnervik, Alexander; Rigoll, Gerhard
Published in: IEEE Intelligent Transportation Systems Conference (ITSC 2019), 2019
Publisher: IEEE

Relational Local Dynamic Maps for Driving Situation Analysis

Author(s): J. Eggert, D. Aguirre Salazar, T. Puphal and B. Flade
Published in: International Symposium on Future Active Safety Technology toward Zero Accidents (FAST-zero), 2017
Publisher: JSAE

Anomaly Detection in Vehicle-to-Infrastructure Communications (opens in new window)

Author(s): Michele Russo, Maxime Labonne, Alexis Olivereau, Mohammad Rmayti
Published in: 2018 IEEE 87th Vehicular Technology Conference (VTC Spring), 2018, Page(s) 1-6, ISBN 978-1-5386-6355-4
Publisher: IEEE
DOI: 10.1109/VTCSpring.2018.8417863

Optimization of Velocity Ramps with Survival Analysis for Intersection Merge-Ins (opens in new window)

Author(s): Tim Puphal, Malte Probst, Yiyang Li, Yosuke Sakamoto, Julian Eggert
Published in: 2018 IEEE Intelligent Vehicles Symposium (IV), 2018, Page(s) 1704-1710, ISBN 978-1-5386-4452-2
Publisher: IEEE
DOI: 10.1109/ivs.2018.8500667

IFSTTAR In-depth accident study (EDA)

Author(s): VAN ELSLANDE, Pierre; BANET, Aurélie
Published in: 2016-01-23, Issue 1, 2016
Publisher: IFSTTAR

Efficient monocular point-of-gaze estimation on multiple screens and 3D face tracking for driver behaviour analysis

Author(s): Jon Goenetxea, Luis Unzueta, Unai Elordi, Juan Diego Ortega, Oihana Otaegui
Published in: DDI2018 Proceedings, 2018
Publisher: DDI

The role of cloud-computing in the development and application of ADAS (opens in new window)

Author(s): Cristian Olariu, Juan Diego Ortega, J. Javier Yebes
Published in: 2018 26th European Signal Processing Conference (EUSIPCO), 2018, Page(s) 1037-1041, ISBN 978-9-0827-9701-5
Publisher: IEEE
DOI: 10.23919/eusipco.2018.8553029

Artificial Intelligence Technologies and Decision Disorientation: Why Ontology Matters for Anticipating the Societal, Ethical and Legal Impacts of Artificial Intelligence Products

Author(s): Martin Cunneen, Martin Mullins
Published in: S.NET 2018, 2018
Publisher: Society for the Studies of New and Emerging Technologies

Multi-sensor fusion localization framework: map-based vehicle localization

Author(s): Siavash Shakeri
Published in: 2019
Publisher: ERTICO ITS Europe

IFSTTAR In-depth accident study (EDA)

Author(s): VAN ELSLANDE; BANET
Published in: 2016
Publisher: IFSTTAR

Dis/orientations on driverless driving and autonomous vehicles? (opens in new window)

Author(s): Martina F. Baumann, Claudia Brändle, Silke Zimmer-Merkle
Published in: Applied Mobilities, Issue 4/2, 2019, Page(s) 251-255, ISSN 2380-0127
Publisher: Taylor and Francis Online
DOI: 10.1080/23800127.2019.1623566

How Can Deep Neural Networks Be Generated Efficiently for Devices with Limited Resources? (opens in new window)

Author(s): Unai Elordi, Luis Unzueta, Ignacio Arganda-Carreras, Oihana Otaegui
Published in: Articulated Motion and Deformable Objects, Issue 10945, 2018, Page(s) 24-33, ISBN 978-3-319-94543-9
Publisher: Springer International Publishing
DOI: 10.1007/978-3-319-94544-6_3

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