Results & Media

Information Material

HEIDI: Explainable Pedestrians Behaviour Prediction – 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)

 

Media

[1] HEIDI Logo

[2] HEIDI: Explainable Pedestrians Behaviour Prediction – Video