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interACT objective
Achieve a safe, highly accepted and
efficient integration of Automated
Vehicles into mixed traffic environment
Results - Evaluation
methodologies
1. Evaluation criteria and methodologies derived
for Automated vehicles 2. interACT demonstrators
evaluated in test-track studies, while eHMI/iHMI
solutions were also evaluated using driving and pe-
destrian simulator 3. Impact assessment carried
out to understand the effects of the interACT solu-
tions on safety, traffic flow, criticality, comfort, and ac-
ceptance
Results - Intention recognition
1. Risk analysis framework for the prediction of
traffic participants location 2. Pedestrian intention
prediction using the semantic map and behaviour
models of other traffic participants 3. Novel deep
learning techniques, for classification of pedestri-
ans' head orientation and hand waving gestures
4. Hidden Markov model for vehicle maneuvers
recognition and generation of intention-aware tra-
jectory. 5. Extended vehicle prediction trajectory
via fusion of intention-based with typical mo-
tion-based
Results - Human
interaction behaviour
1. Definition of interaction terminology 2. Several
observation studies on human-human interaction
in Greece, Germany and the UK 3. Traffic partici-
pants tend to avoid conflicts; Interactions are
more likely to occur when the vehicle is driving
slowly; Pedestrians mostly focus on implicit vehi-
cle cues rather than explicit communication
The results
Results - Communication
and Cooperation Planning Unit
1. Recognition of traffic conflicts between Automated
Vehicles and other traffic participants 2. Implementa-
tion of reaction strategies according to the identified
situation (future path constraints, candidate actors for
HMI/eHMI interaction) 3. Integration of internal and
external HMI to enable human-like interaction 4. De-
velopment of safety layer for emergency situations
Results - HMI/eHMI
1.Two interaction strategies defined: inten-
tion-based & perception-based strategy for
HMI/eHMI 2.Two eHMI technologies developed
and implemented: 360° Light Band & Directed
Signal Lamp 3.Two iHMI technologies: Light Band
& Automation Display
This project has received funding from the European
Union’s Horizon 2020 research and innovation
programme under grant agreement no 723395.This
material reflects only the author’s view and the
Innovation and Networks Executive Agency (INEA) /
European Commission is not responsible for any use
that may be made of the information it contains.
Consortium
www.interact-roadautomation.eu
interACT is a research project funded by the EU’s Horizon 2020 programme.
The aim of the project is to enable the safe and efficient communication and
interaction between Automated Vehicles, other road users and on-board users.
Project Coordinator
Anna Schieben
Deutsches Zentrum für Luft-
und Raumfahrt e.V. (DLR)
Institute of Transportation Systems
Anna.Schieben@dlr.de
Project Facts
Start Date
1st May 2017
Duration
41 months
EC funding
5.527.581€
Interact_eu @interACT_EU interACT_EU

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interACT H2020 Project - Poster | June 2020

  • 1. interACT objective Achieve a safe, highly accepted and efficient integration of Automated Vehicles into mixed traffic environment Results - Evaluation methodologies 1. Evaluation criteria and methodologies derived for Automated vehicles 2. interACT demonstrators evaluated in test-track studies, while eHMI/iHMI solutions were also evaluated using driving and pe- destrian simulator 3. Impact assessment carried out to understand the effects of the interACT solu- tions on safety, traffic flow, criticality, comfort, and ac- ceptance Results - Intention recognition 1. Risk analysis framework for the prediction of traffic participants location 2. Pedestrian intention prediction using the semantic map and behaviour models of other traffic participants 3. Novel deep learning techniques, for classification of pedestri- ans' head orientation and hand waving gestures 4. Hidden Markov model for vehicle maneuvers recognition and generation of intention-aware tra- jectory. 5. Extended vehicle prediction trajectory via fusion of intention-based with typical mo- tion-based Results - Human interaction behaviour 1. Definition of interaction terminology 2. Several observation studies on human-human interaction in Greece, Germany and the UK 3. Traffic partici- pants tend to avoid conflicts; Interactions are more likely to occur when the vehicle is driving slowly; Pedestrians mostly focus on implicit vehi- cle cues rather than explicit communication The results Results - Communication and Cooperation Planning Unit 1. Recognition of traffic conflicts between Automated Vehicles and other traffic participants 2. Implementa- tion of reaction strategies according to the identified situation (future path constraints, candidate actors for HMI/eHMI interaction) 3. Integration of internal and external HMI to enable human-like interaction 4. De- velopment of safety layer for emergency situations Results - HMI/eHMI 1.Two interaction strategies defined: inten- tion-based & perception-based strategy for HMI/eHMI 2.Two eHMI technologies developed and implemented: 360° Light Band & Directed Signal Lamp 3.Two iHMI technologies: Light Band & Automation Display This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no 723395.This material reflects only the author’s view and the Innovation and Networks Executive Agency (INEA) / European Commission is not responsible for any use that may be made of the information it contains. Consortium www.interact-roadautomation.eu interACT is a research project funded by the EU’s Horizon 2020 programme. The aim of the project is to enable the safe and efficient communication and interaction between Automated Vehicles, other road users and on-board users. Project Coordinator Anna Schieben Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) Institute of Transportation Systems Anna.Schieben@dlr.de Project Facts Start Date 1st May 2017 Duration 41 months EC funding 5.527.581€ Interact_eu @interACT_EU interACT_EU