SPADE Workshop

Submit your paper before February 1st
Join us at the 36th IEEE Intelligent Vehicles Symposium (IEEE IV 2025), the premier annual forum organised by the IEEE Intelligent Transportation Systems Society (ITSS). This year, IV 2025 will be held on June 22-25 in the vibrant city of Cluj-Napoca, Romania, bringing together leading researchers, academics, and industry professionals from around the globe.
Don’t miss the SPADE workshop (Secure, Privacy-Aware Naturalistic Driving Data for Future Mobility: Insights from Structured and Unstructured Environments), co-organised by the BERTHA project on June 22. This full-day workshop will focus on advancing intelligent and autonomous driving systems by adopting a human-centric approach that enhances user acceptance and system effectiveness.
The SPADE workshop will bring together experts from academia and industry to foster innovation and collaboration in intelligent vehicle technologies and future mobility solutions. We invite researchers and practitioners to submit their papers to the SPADE workshop.

The submission process will follow the same rigorous review standards as the main conference papers.
Accepted papers will be presented in person at the event and published in the conference proceedings.
About the SPADE workshop
The SPADE workshop focuses on advancing intelligent and autonomous driving systems by adopting a human-centric approach that enhances user acceptance and system effectiveness. It emphasises the importance of modelling individual driving behaviours, including factors such as risk awareness, decision-making, motor control, and environmental perception, all influenced by drivers’ affective states.
Unstructured driving environments, characterised by complex and unpredictable scenarios —such as roads lacking proper markings or signals, the presence of anomalies like potholes, and diverse participants like pedestrians and non-standard vehicles— present unique challenges and opportunities for developing robust mobility solutions.
By addressing these challenges, the workshop aims to explore advancements in Intelligent Transportation Systems (ITS), Intelligent Vehicles (IV), Advanced Driver Assistance Systems (ADAS), Assistive Mobility (AM), and Driver Monitoring technologies.
A core aspect lies in harnessing multimodal naturalistic driving data to derive meaningful insights while addressing key considerations such as scalable data collection, privacy-aware frameworks, secure data management, and ethical protocols.
Highlighting collaborative efforts like the European BERTHA project, the workshop seeks to foster innovation through open-access datasets, multidisciplinary research, and practical methodologies. By convening experts from academia and industry, SPADE will promote a collaborative ecosystem to drive forward intelligent vehicle technologies and future mobility solutions.

The SPADE workshop will be held on June 22 in Cluj-Napoca, Romania.
Registration for the IEEE IV 2025 symposium will open soon. Stay tuned!
How do I prepare and submit my paper?
- Go for a topic that aligns with the specific topics of the SPADE workshop.
- Prepare your paper using the template and guidelines set in the IEEE paper submission requirements.
- Go to PaperPlaza, the IEEE Conference Management System.
- On ‘Conferences in 2025’ > ‘IEEE IV 2025’, click on ‘Submit a contribution to IV 2025‘.
- Go to ‘First submissions’ > ‘Workshop paper’ and click on ‘Submit‘.
- Complete all the required fields. In the field ‘Code’, enter “SPADE” to select our workshop.
- Click on ‘Next’ to verify the data and follow the instructions on the screen to upload the file and confirm the submission.
Key topics for the SPADE workshop
In-cabin driver monitoring | Sensors for driver monitoring | Driver attention and automotive safety | Driver gaze tracking | Driver simulation models | Human-centric ADAS | Intelligent Vehicles for unstructured environments | Road scene understanding in unstructured environments | Driver Activity Monitoring Systems for drivers in chaotic and unstructured environments | Advanced Driver Assistance Systems (ADAS) in Unstructured Environment | Advanced Rider Assistance Systems (ARAS) for Intelligent two-wheelers in unstructured environments | Intent recognition and behaviour prediction of vehicles and Vulnerable Road Users | Safety applications for vulnerable road users in complex and unstructured driving environments | Smart mobility in unstructured urban environments | Assistive mobility in Unstructured Environments | Study of road accidents and safety measures in unstructured urban environments | Datasets and Evaluation Procedures for complex and unstructured driving environments | Intelligent Traffic management | Operational Design Domain | Data needs and specifications for Naturalistic Driving data collection | Robust data compression and annotation techniques | Advanced and automated driving data analytics | Privacy masking techniques for NDS data | Driver-Vehicle Interaction, Driver- ADAS/ADS Interaction | Crash risk analysis, reconstruction, modelling, and intervention using naturalistic driving data | Integration of naturalistic driving models for scenario generation for the safety evaluation of Automated Driving systems | Fuel efficiency models
Preliminary schedule
- Welcome and introduction – 15′
- Six invited keynote speakers (required to attend in person) – 3h
- Poster session (selected among the papers accepted) and coffee break – 1h
- Invited IV paper session – 2h
- Panel discussion and final remarks – 45′
Workshop organisers
- Dr. José S. Solaz Sanahuja, Instituto de Biomecánica de Valencia, Valencia, Spain
- Dr. Jason Rambach, German Research Institute for AI, DFKI, Germany
- Prof. Dr. Antonio M. López, Computer Vision Center (CVC), Barcelona, Spain
- Bruna Fonseca, Manager at FI Group, Porto, Portugal
- Joana Tarana, EU Communication Consultant at FI Group, Porto, Portugal
- Sofia Oliveira, EU Communication Consultant at FI Group, Porto, Portugal
- Dr. Ayesha Choudhary, School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India
- Prof. S. Indu, Department of Electronics and Communication Engineering, Delhi Technological University, Delhi, India
- Prof. Anuj Sharma, Pitt-Des Moines Inc. Professor in Civil Engineering, Iowa State University
- Dr. Abhijit Sarkar, Senior Research Associate, Team Lead, Virginia Tech Transportation Institute
- Dr. Pujitha Gunaratne, Toyota Motor North America, USA