BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Berlin BEGIN:DAYLIGHT DTSTART:20240331T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20231029T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20240228T195703Z UID:2E54E820-52C5-47F8-88D0-AD8F0F3EC23A DTSTART;TZID=Europe/Berlin:20240207T170000 DTEND;TZID=Europe/Berlin:20240207T183000 DESCRIPTION:Join us\, Wednesday\, 7th of February\, 2024\, at 17:00 PM CET for an exciting virtual talk by Jan-Hendrik Pauls on the topic "Lanelet2: A Map Framework for Automated Driving".\n\nThis talk is part of the ITSS D istinguished Lecture Series (DLS)\, organized by the [ITSS Germany Chapter ](https://ieee-itss-germany.org/) and technically co-sponsored by [Karlsru he Institute of Technology (KIT)](https://www.mrt.kit.edu/).\n\nTopic:\n\n Lanelet2: A Map Framework for Automated Driving\n\nAbstract:\n\nTo ensure safe and comfortable automated driving\, even the most complex traffic sce narios must be interpreted correctly. Since the static parts of the world rarely change\, maps can be used to model them and their interpretation. T his allows the interpretation to be performed offline and possibly even wi th human assistance.\n\nThis lecture will introduce Lanelet2\, a map handl ing framework for the research and development of automated driving functi ons and autonomous vehicles. Lanelet2's core idea is bottom-up design that not only enables reproducible mapping. The framework also connects the ab stract map layers with the physical elements from which they naturally eme rge. By unifying the needs of all driving functions\, Lanelet2 ensures a c onsistent view of the world. In addition to the map framework\, the lectur e will show how Lanelet2 maps can be created using data from onboard senso rs and/or aerial imagery. Finally\, we will discuss currently developments around Lanelet2\, such as an extension for deep learning.\n\nBiosketch:\n \nJan-Hendrik Pauls received his B.Sc. in Engineering Cybernetics and his M.Sc. in Computer Science from the University of Stuttgart\, Germany. He l eads the research group for mapping and localization at the Institute of M easurement and Control Systems at the Karlsruhe Institute of Technology (K IT)\, where he also pursues his PhD. Within the field of automated driving \, his research focus lies on perceiving the static world\, capturing it i n meaningful representations like HAD maps\, highly accurate 6D localizati on within such maps\, and their temporal verification.\n\nSpeaker(s): Jan- Hendrik Pauls\, \n\nVirtual: https://events.vtools.ieee.org/m/401720 LOCATION:Virtual: https://events.vtools.ieee.org/m/401720 ORGANIZER: SEQUENCE:70 SUMMARY:ITSS webinar Lanelet2: A Map Framework for Automated Driving -- 07 February 2024 -- Speaker: Jan-Hendrik Pauls URL;VALUE=URI:https://events.vtools.ieee.org/m/401720 X-ALT-DESC:Description: <br /><p><span style="font-size: 12pt\;">Join us\, <strong>Wednesday\, 7th of February\, 2024\, at 17:00 PM CET</strong> for an exciting virtual talk by <strong>Jan-Hendrik Pauls</strong>&nbsp\;on th e topic "<strong>Lanelet2: A Map Framework for Automated Driving</strong>" .</span></p>\n<p><span style="font-size: 12pt\;">This talk is part of the ITSS Distinguished Lecture Series (DLS)\, organized by the <a href="https: //ieee-itss-germany.org/">ITSS Germany Chapter</a> and technically co-spon sored by <a href="https://www.mrt.kit.edu/" target="_blank" rel="noopener" >Karlsruhe Institute of Technology (KIT)</a>.</span></p>\n<p>&nbsp\;</p>\n <p><span style="font-size: 12pt\;"><strong>Topic:</strong>&nbsp\;</span></ p>\n<p><span style="font-size: 12pt\;">Lanelet2: A Map Framework for Autom ated Driving</span></p>\n<p>&nbsp\;</p>\n<p><span style="font-size: 12pt\; "><strong>Abstract:&nbsp\;</strong></span></p>\n<p><span style="font-size: 12pt\;">To ensure safe and comfortable automated driving\, even the most complex traffic scenarios must be interpreted correctly. Since the static parts of the world rarely change\, maps can be used to model them and thei r interpretation. This allows the interpretation to be performed offline a nd possibly even with human assistance.</span></p>\n<p><span style="font-s ize: 12pt\;">This lecture will introduce Lanelet2\, a map handling framewo rk for the research and development of automated driving functions and aut onomous vehicles. Lanelet2's core idea is bottom-up design that not only e nables reproducible mapping. The framework also connects the abstract map layers with the physical elements from which they naturally emerge. By uni fying the needs of all driving functions\, Lanelet2 ensures a consistent v iew of the world. In addition to the map framework\, the lecture will show how Lanelet2 maps can be created using data from onboard sensors and/or a erial imagery. Finally\, we will discuss currently developments around Lan elet2\, such as an extension for deep learning.</span></p>\n<p>&nbsp\;</p> \n<p><span style="font-size: 12pt\;"><strong>Biosketch:</strong></span></p >\n<p><span style="font-size: 12pt\;"><strong>Jan-Hendrik Pauls </strong>r eceived his B.Sc. in Engineering Cybernetics and his M.Sc. in Computer Sci ence from the University of Stuttgart\, Germany. He leads the research gro up for mapping and localization at the Institute of Measurement and Contro l Systems at the Karlsruhe Institute of Technology (KIT)\, where he also p ursues his PhD. Within the field of automated driving\, his research focus lies on perceiving the static world\, capturing it in meaningful represen tations like HAD maps\, highly accurate 6D localization within such maps\, and their temporal verification.</span></p> END:VEVENT END:VCALENDAR