BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Amsterdam BEGIN:DAYLIGHT DTSTART:20260329T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20261025T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260523T113112Z UID:E98C8CDB-C43E-47EE-B08C-154DB9E88DF9 DTSTART;TZID=Europe/Amsterdam:20260520T100000 DTEND;TZID=Europe/Amsterdam:20260520T170000 DESCRIPTION:As autonomous vehicles continue to evolve\, a key challenge lie s in enabling them to operate safely and reliably in the open world\, wher e 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 ra ises fundamental questions about how autonomous systems interpret situatio ns\, make decisions\, and communicate intent in ways that remain clear and predictable to the humans around them.\n\nUncertainty is particularly pro nounced in the interaction between humans and automated driving systems. W hether considering the behavior of other road users or the role of humans within the vehicle\, ambiguity can arise in expectations\, responsibilitie s\, and system behavior. This makes it essential for autonomous vehicles t o not only reason about their environment\, but also to account for how th eir actions are perceived and understood by humans. Approaches that incorp orate human-aware prediction\, risk-sensitive planning\, and behavior that aligns with human expectations are therefore central to achieving safe an d effective integration into everyday traffic.\n\nThis event brings togeth er researchers\, industrial experts\, and policy makers to explore how ris k and uncertainty can be systematically addressed in autonomous driving. I t provides a platform to discuss methods for modeling and managing uncerta inty\, predicting and interacting with human behavior\, and designing deci sion-making and control strategies that are both safe and transparent. Thr ough talks\, discussions\, and demonstrations\, the event aims to highligh t advances that contribute to autonomous vehicles that are not only techni cally capable\, but also trustworthy and well-adapted to real-world human environments.\n\nRegistration:\nwww.aanmelder.nl/175380/registration\n\nCo -sponsored by: Delft University of Technology\n\nDelft\, Zuid-Holland\, Ne therlands LOCATION:Delft\, Zuid-Holland\, Netherlands ORGANIZER:meng.lu@wklm.eu SEQUENCE:42 SUMMARY:The Future of Driving: Autonomous Vehicles in a World of Uncertaint y URL;VALUE=URI:https://events.vtools.ieee.org/m/558244 X-ALT-DESC:Description: <br /><p style="text-align: left\; font-size: 1.2em \;">As autonomous vehicles continue to evolve\, a key challenge lies in en abling them to operate safely and reliably in the open world\, where uncer tainty is inherent and unavoidable. Real-world traffic is shaped by incomp lete information\, changing environments\, and complex interactions betwee n human and automated agents. Beyond technical robustness\, this raises fu ndamental questions about how autonomous systems interpret situations\, ma ke decisions\, and communicate intent in ways that remain clear and predic table to the humans around them.</p>\n<p style="text-align: left\; font-si ze: 1.2em\;">Uncertainty is particularly pronounced in the interaction bet ween humans and automated driving systems. Whether considering the behavio r 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 expectation s are therefore central to achieving safe and effective integration into e veryday traffic.</p>\n<p style="text-align: left\; font-size: 1.2em\;">Thi s event brings together researchers\, industrial experts\, and policy make rs 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 e vent aims to highlight advances that contribute to autonomous vehicles tha t are not only technically capable\, but also trustworthy and well-adapted to real-world human environments.</p>\n<p style="text-align: left\; font- size: 1.2em\;"><strong>Registration:</strong><br>www.aanmelder.nl/175380/r egistration</p> END:VEVENT END:VCALENDAR