BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//The Brussels Institute for Advanced Studies - ECPv6.17.5//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:The Brussels Institute for Advanced Studies
X-ORIGINAL-URL:https://brias.be
X-WR-CALDESC:Events for The Brussels Institute for Advanced Studies
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Brussels
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20240331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20241027T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20251026T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20260329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20261025T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250508
DTEND;VALUE=DATE:20250509
DTSTAMP:20251217T131810Z
CREATED:20251217T130608Z
LAST-MODIFIED:20251217T131810Z
UID:2657-1746662400-1746748799@brias.be
SUMMARY:BrIAS Seminar
DESCRIPTION:Seminar 1: BrIAS Fellow Prof. Paolo Falcone\nCautious-by-design motion planning. The role of prediction\n\nSafety of passengers and surrounding road users is the most important challenge in the design and deployment of autonomous driving technologies. In fact\, the highest Automotive Safety Integrity Level (ASIL-D) will likely be required for autonomous driving functionalities. While fulfilling such safety requirements involves special design efforts at all levels of the autonomous driving stack\, in this talk we will focus on the control design of a safe motion planner in urban environments. \n\n\n\nWe will start by illustrating a model-based control design approach to vehicle motion planning problem\, in the presence of human road users (pedestrians\, cyclists\, human-driven vehicles). We will show that\, under mild assumptions\, vehicle behavior can be made cautious in the presence of road users and guaranteed to be persistently safe. Experimental results obtained with a passenger vehicle negotiating an intersection with a simulated pedestrian\, will be shown. An important ingredient of the proposed motion planning framework is a prediction model of the surrounding traffic. In the second part of the seminar\, we will illustrate our ongoing research on humans’ intent prediction in traffic environments. We will show how the evolution of a traffic scene can be predicted using very simple models and motion data (position\, velocity) of road users observed in similar traffic scenes.   \n\n\n\nSeminar 2 : BrIAS Fellow Prof. Hideyuki Sawada\n\n\n\nRobotics and machine learning techniques for understanding\, controlling and predicting physical phenomena\n\n\n\nMachine learning techniques are widely applied to the variety of fields to provide human-like intelligence for flexibly understanding\, controlling and predicting daily issues. In this lecture\, the history of the development of AIs is firstly introduced from the viewpoint of computational capacity and human ability\, then the basic idea for machine learning will be presented\, together with the robotic technologies. Several applications that have been conducted in our research team will be introduced as examples of the effective use of machine learning and the robotics technologies.
URL:https://brias.be/event/brias-seminar/
LOCATION:BrIAS\, Boulevard Général Jacques 210\, Ixelles\, Brussels\, 1050\, Belgium
CATEGORIES:Programme Events
END:VEVENT
END:VCALENDAR