Results & Media

Information Material

HEIDI: Explainable Pedestrians Behaviour Prediction – Video

Road Safety Cluster – Press Release

HEIDI: External HMI Demonstrator – Video

HEIDI: Cooperative Human Machine Interface Logic – Pedestrian Crossing – Video

HEIDI: Cooperative Human Machine Interface Logic – Vehicle Crosses – Video

HEIDI: Cooperative HMI – Study 12 – Video

HEIDI: VR Simulation – Video

HEIDI: External HMI Communication Display – Video

Public Deliverables

D1.1 Description of user needs

D1.2 Use case definition

D2.4 Revised fluid internal HMI concept

D4.2 Cooperative HMI Concept

D5.1 Ethical guidelines and procedures

D5.2 State of Art on validation methods for cooperative and adaptive HMI solutions

D8.1 Project website and identity materials

D8.2 Dissemination and communication plan

D8.3 Exploitation and sustainability plan

D8.4 HEIDI Y1 dissemination and communication activities

D8.7 HEIDI Y1 exploitation, sustainability, and standardisation activities

D9.1 Quality Assurance and Risk Management Plan

D9.2 Initial Data Management Plan

 

Publications

Experimental Insights Towards Explainable and Interpretable Pedestrian Crossing Prediction (Angie Nataly Melo, Carlota Salinas, Miguel Angel Sotelo)

Plausible Uncertainties for Human Pose Regression (Lennart Bramlage, Cristobal Curio, Michelle Karg)

Vehicle Lane Change Prediction based on Knowledge Graph Embeddings and Bayesian Inference (M. Manzour, A. Ballardini, R. Izquierdo, M. A. Sotelo)

Enabling Cooperative Pedestrian-Vehicle Interactions using an eHMI (Markus Amann, Malte Probst, Raphael Wenzel, Thomas H. Weisswange)

Knowledge-based explainable pedestrian behavior predictor (Angie Nataly Melo, Carlota Salinas, Miguel Angel Sotelo, Luis Felipe Herrera-Quintero)

Investigating Drivers’ Awareness of Pedestrians Using Virtual Reality towards Modeling the Impact of External Factors (Vinu Vijayakumaran Nair; Markus Rehmann; Stephan de la Rosa; Cristóbal Curio)

Simulation Architecture for Driver-Pedestrian Co-simulation using Motion Capture (Maytheewat Aramrattana, Lennart Ochel)

RAG-based explainable prediction of road users behaviors for automated driving using knowledge graphs and large language models (M.A. Sotelo, Mohamed Manzour, Angie Melo, Augusto Ballardini, Carlota Salinas, Ruben Izquierdo)

Principled Input-Output-Conditioned Post-Hoc Uncertainty Estimation for Regression Networks (Lennart Bramlage, Cristobal Curio)

Towards Explainable Pedestrian Behavior Prediction: A Neuro-Symbolic Framework for Autonomous Driving (Angie Nataly Melo, Carlota Salinas, Miguel Ángel Sotelo)

Optimal Behavior Planning for Implicit Communication using a Probabilistic Vehicle-Pedestrian Interaction Model (Markus Amann, Malte Probst, Raphael Wenzel, Thomas H. Weisswange, Miguel A. Sotelo)

Towards Incorporating Pedestrian Intention Predictions into Behavior Planning using Virtual Reality Co-Simulators (Angie Nataly Melo Castillo, Markus Amann, Carlota Salinas Maldonado, Maytheewat Aramrattana, Thomas H. Weisswange, Malte Probst, Miguel A. Sotelo)

Towards relevant human-vehicle interaction data for perceptive machine learning (Markus Rehmann, Michael Brunner, and Cristóbal Curio)

Media

[1] HEIDI Logo

[2] HEIDI: Explainable Pedestrians Behaviour Prediction – Video

[3] Road Safety Cluster – Press Release

[4] HEIDI: External HMI Demonstrator – Video

[5] HEIDI: Cooperative Human Machine Interface Logic – Pedestrian Crossing – Video

[6] HEIDI: Cooperative Human Machine Interface Logic – Vehicle Crosses – Video

[7] HEIDI: Cooperative HMI – Study 12 – Video

[8] HEIDI: VR Simulation – Video

[9] HEIDI: External HMI Communication Display – Video

[10] RTF media feature – Video (in German)

[11] Press Release Reutlingen University (in German)

[12] DVN Special Report

[13] GEA Article (in German)