The Future of Driving: Autonomous Vehicles in a World of Uncertainty

Lecture hall A, Mechanical Engineering, TU Delft, The Netherlands

10:00-17:00, May 20, 2026

Click here to view the flyer and map of the event!

About the Event

As autonomous vehicles continue to evolve, a key challenge lies in enabling them to operate safely and reliably in the open world, where uncertainty is inherent and unavoidable. Real-world traffic is shaped by incomplete information, changing environments, and complex interactions between human and automated agents. Beyond technical robustness, this raises fundamental questions about how autonomous systems interpret situations, make decisions, and communicate intent in ways that remain clear and predictable to the humans around them.

Uncertainty is particularly pronounced in the interaction between humans and automated driving systems. Whether considering the behavior of other road users or the role of humans within the vehicle, ambiguity can arise in expectations, responsibilities, and system behavior. This makes it essential for autonomous vehicles to not only reason about their environment, but also to account for how their actions are perceived and understood by humans. Approaches that incorporate human-aware prediction, risk-sensitive planning, and behavior that aligns with human expectations are therefore central to achieving safe and effective integration into everyday traffic.

This event brings together researchers, industrial experts, and policy makers to explore how risk and uncertainty can be systematically addressed in autonomous driving. It provides a platform to discuss methods for modeling and managing uncertainty, predicting and interacting with human behavior, and designing decision-making and control strategies that are both safe and transparent. Through talks, discussions, and demonstrations, the event aims to highlight advances that contribute to autonomous vehicles that are not only technically capable, but also trustworthy and well-adapted to real-world human environments.

Schedule

Time Event
09:45 - 10:00 Registration.
10:00 - 10:10 Simeon Calvert (TU Delft). Morning Opening.
10:10 - 10:40 Cristina Olaverri-Monreal (JKU). Understanding Human Behavior to Enable Safe and Reliable Autonomous Vehicles.
10:40 - 11:10 Ilse Harms (CBR). Human and machine in harmony: Changing tasks and required competencies in vehicle automation.
11:10 - 13:30 Lunch and Demos. See Demos list
13:30 - 13:40 Javier Alonso-Mora (TU Delft). Afternoon Opening.
13:40 - 14:10 Michal Čáp (ISEE AI). Bringing Self-Driving Technology to the World's Distribution Hubs.
14:10 - 14:40 Maartje de Goede (SWOV). Who's driving? Why mode confusion in automated vehicle systems should be assessed and how.
14:40 - 15:40 Panel Discussion moderated by Arkady Zgonnikov (TU Delft). Driving Through Uncertainty: Challenges and Paths to Responsible Automated Mobility.
15:40 - 17:00 Networking and drinks

Invited Speakers

* Ranked by scheduled order.

Cristina Olaverri-Monreal

Cristina Olaverri-Monreal

Full Professor, Johannes Kepler University

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Cristina Olaverri-Monreal is a full professor and head of the Department Intelligent Transport Systems at the Johannes Kepler University Linz, in Austria. Prior to this position, she led diverse teams in the industry and in the academia in the US and in distinct countries in Europe.

She is the IEEE Division IX Director and member of the 2026-2027 IEEE Board of Directors. Prior to this role, she served as President of the IEEE Intelligent Transportation Systems Society (IEEE ITSS) in 2022 and 2023. She also serves as Chair of the Technical Activities Committee (TAC) on Human Factors in Intelligent Transportation Systems and is the founder and chair of the Austrian IEEE ITSS chapter. Prof. Olaverri is a senior/associate editor and editorial board member of several journals in the field, including the IEEE ITS Transactions and IEEE ITS Magazine.

She received her PhD from the Ludwig-Maximilians University (LMU) in Munich in cooperation with BMW. Her research aims at studying solutions for an efficient and effective transportation focusing on minimizing the barrier between users and road systems. To this end, she relies on the automation, wireless communication and sensing technologies that pertain to the field of Intelligent Transportation Systems (ITS).

Furthermore, she is an expert for the European Commission on ”Automated Road Transport” and consultant and project evaluator in the field of ICT and “Connected, Cooperative Autonomous Mobility Systems” for various EU and national agencies as well as organizations in Germany, Sweden, France, Ireland, etc. In 2017, she was the general chair of the “IEEE International Conference on Vehicles Electronics and Safety” (ICVES 2017). She was awarded the “IEEE Educational Activities Board Meritorious Achievement Award in Continuing Education” for her dedicated contribution to continuing education in the field of ITS. She has also been recently awarded with the prestigious 2023 IEEE MGA Diversity & Inclusion Award. ss

Ilse Harms

Ilse Harms

Strategic Advisor, CBR

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Ilse Harms works as strategic advisor at CBR, where she is a leading figure in the field of human behaviour and vehicle automation. She is a traffic psychologist who enjoys working at the intersection of theory and practice. She conducted her doctoral research at the University of Groningen while working for the Dutch government. Ilse is an expert and advisor in the field of human factors that influence behaviour in traffic. Previously she held positions at RDW, the Ministry of Transport and Rijkswaterstaat. Currently she is also involved in Euro NCAP, where she is the Alternate Director for the Netherlands and the Chair for the Driver Engagement Working Group.

Michal Čáp

Michal Čáp

VP of Engineering, ISEE AI

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Michal Čáp is VP of Engineering at ISEE AI, an MIT spin-off that delivered the world's first driverless distribution yard, where autonomous vehicles move trailers while continuously coordinating with other vehicles and workers on foot. He holds a PhD in Artificial Intelligence from Czech Technical University in Prague and received the Antonín Svoboda Award for the best CS PhD thesis in the Czech Republic. He was a Fulbright Scholar at MIT and later a Postdoctoral Fellow at TU Delft. He is co-first author of one of the most highly cited survey papers in autonomous vehicle research (3,500+ citations). His research interests span multi-robot motion planning, large-scale fleet routing, and multi-agent autonomous systems in general.

Maartje de Goede

Maartje de Goede

Senior Scientist, SWOV

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Dr Maartje de Goede is a senior scientist at SWOV, the Dutch Institute for Road Safety Research, where she specializes in human factors and traffic safety. With a background in psychology and neurocognitive science, she has extensive experience in managing and conducting research on the behaviour of road users in relation to the traffic environment and the vehicle.

Her current work focuses in particular on automated driving and advanced driver assistance systems (ADAS), with an emphasis on the interaction between these systems and their users. She is especially interested in how the quality of this interaction can be assessed and safeguarded before such systems are introduced into real-world traffic.

Dr De Goede is actively involved in both national and international research collaborations, working with governmental bodies, research institutes, and industry partners. Across these collaborations, she consistently aims to bridge the gap between scientific research and policy, ensuring that insights into human behaviour are translated into practical, evidence-based measures that contribute to safer road systems.

Demos

A map with the demos location will be available soon.

COLUMBUSS Autonomous Bus

Jorrit Kuipers (robotTUNER)

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PercivAI Radar Perception

Lohit Gandham, Gioele Buriani (PercivAI)

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Autonomous Car Avoiding Obstacles

Khaled Mustafa, Diego Martinez-Baselga (TU Delft)

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Human-Aware Robot Navigation

Khaled Mustafa, Diego Martinez-Baselga (TU Delft)

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Operationalising Meaningful Human Control in Automated Vehicles

Lucas Elbert Suryana (TU Delft)

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Feasible Action-Space Reduction (FeAR) for Causal Responsibility in Multi-Agent Spatial Interactions

Ashwin George (TU Delft)

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Panelists

* Ranked by the first letter of name.

Andras Palffy

Andras Palffy

Co-Founder and Director of Technology, PercivAI

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Andras Palffy received an M.Sc. degree in computer science engineering from Pazmany Peter Catholic University, Hungary, in 2016, and another M.Sc. degree in digital signal and image processing from Cranfield University, U.K., in 2015.

From 2013 to 2017, he was an algorithm researcher at Eutecus, a US based startup acquired by Verizon, developing computer vision algorithms for traffic monitoring and ADAS applications.

He obtained his Ph.D. degree in 2022 at Delft University of Technology, Netherlands, focusing on radar based road user detection for automated driving. He is the first author of the "View of Delft" dataset, which is one of the most widely used automotive dataset including 4D radar data, used by 800+ researchers around the world.

In 2022 he co-founded Perciv AI, a machine perception startup developing AI-driven, next generation machine perception for radars.

Cristina Olaverri-Monreal

Cristina Olaverri-Monreal

Full Professor, Johannes Kepler University

Show Bio

Cristina Olaverri-Monreal is a full professor and head of the Department Intelligent Transport Systems at the Johannes Kepler University Linz, in Austria. Prior to this position, she led diverse teams in the industry and in the academia in the US and in distinct countries in Europe.

She is the IEEE Division IX Director and member of the 2026-2027 IEEE Board of Directors. Prior to this role, she served as President of the IEEE Intelligent Transportation Systems Society (IEEE ITSS) in 2022 and 2023. She also serves as Chair of the Technical Activities Committee (TAC) on Human Factors in Intelligent Transportation Systems and is the founder and chair of the Austrian IEEE ITSS chapter. Prof. Olaverri is a senior/associate editor and editorial board member of several journals in the field, including the IEEE ITS Transactions and IEEE ITS Magazine.

She received her PhD from the Ludwig-Maximilians University (LMU) in Munich in cooperation with BMW. Her research aims at studying solutions for an efficient and effective transportation focusing on minimizing the barrier between users and road systems. To this end, she relies on the automation, wireless communication and sensing technologies that pertain to the field of Intelligent Transportation Systems (ITS).

Furthermore, she is an expert for the European Commission on ”Automated Road Transport” and consultant and project evaluator in the field of ICT and “Connected, Cooperative Autonomous Mobility Systems” for various EU and national agencies as well as organizations in Germany, Sweden, France, Ireland, etc. In 2017, she was the general chair of the “IEEE International Conference on Vehicles Electronics and Safety” (ICVES 2017). She was awarded the “IEEE Educational Activities Board Meritorious Achievement Award in Continuing Education” for her dedicated contribution to continuing education in the field of ITS. She has also been recently awarded with the prestigious 2023 IEEE MGA Diversity & Inclusion Award. ss

Marieke Martens

Marieke Martens

Full Professor, TU Eindhoven, TNO

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Marieke studied Experimental and Cognitive Psychology at the Free University of Amsterdam. Since 1996 she has been working as a research in the area of human factors and traffic behavior at TNO, covering a variety of topics such as self-explaining roads, traffic safety, driver state, distraction, visual attention, road user behavior, driver support, smart mobility and automated vehicles. She received her PhD in 2007 from the Free University of Amsterdam entitled: ‘The failure to act upon important information: Where do things go wrong?’. From 2015 until 2019 she has been a professor ITS & Human Factors at the University of Twente, and since June 2019 she was appointed full professor Automated Vehicles and Human Interaction. From 2018 till 2024 she was Director of Science of the TNO Unit Traffic & Transport and part of the steering committee of APPL.AI, the TNO AI research initiative. For 10 years she has been a member of the Scientific Advisory Board of SWOV, she was part of the EU expert group on Ethics of automated mobility and part of different advisory boards and editorial boards, including different ISO committee meetings focusing on human behavior and part of HF-IRADS (Human Factors of International Regulations of Automated Driving Systems, linked to UNECE. Since January 2024, she is board member of NWO-Applied Engineering Sciences.

Solmaz Razmi Rad

Solmaz Razmi Rad

Human Factors & Vehicle Automation, RDW

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Solmaz Razmi Rad is an Advisor at RDW, the Netherlands Vehicle Authority. Over the past three years, she has developed expertise at the intersection of human behaviour, vehicle automation, and regulation, bridging the gap between cutting-edge research and regulatory implementation. She contributes to the development of assessment frameworks for the type-approval of automated vehicles, ensuring that the future automated mobility is not only innovative but fundamentally safe and human-centric. Prior to joining RDW, Solmaz earned her PhD from Delft University of Technology, where she studied the impacts of infrastructure design on the safety and behavioural dynamics of mixed traffic with automated and manual vehicles.

Organizers

Arkady Zgonnikov

Arkady Zgonnikov

Assistant Professor, TU Delft

Simeon Calvert

Simeon Calvert

Associate Professor, TU Delft

Javier Alonso-Mora

Javier Alonso-Mora

Full Professor, TU Delft

Acknowledgements

The event is funded by the Dutch Research Council NWO-NWA, within the "ACT: Perceptive Acting Under Uncertainty" project (Grant No. NWA.1292.19.298), and by the TU Delft Transport & Mobility Institute, and supported by the Benelux Chapter ITSS.