BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Berlin BEGIN:DAYLIGHT DTSTART:20220327T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20211031T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20211118T092758Z UID:83109D4A-4A6C-47BC-B5C5-0867596D9129 DTSTART;TZID=Europe/Berlin:20211117T170000 DTEND;TZID=Europe/Berlin:20211117T180000 DESCRIPTION:Join us\, Wednesday\, 17th of November\, 2021\, at 17:00 PM CET for an exciting virtual talk by Dr. Paul Chauchat on the topic "Recent Re sults on Inertial Navigation: Non-linear Insights and Linear Threats".\n\n This talk is part of the ITSS Distinguished Lecture Series (DLS)\, organiz ed by the [ITSS Germany Chapter](https://ieee-itss-germany.org/) and techn ically co-sponsored by [ISAE-SUPAERO](https://www.isae-supaero.fr/en/).\n\ nTopic:\n\nRecent Results on Inertial Navigation: Non-linear Insights and Linear Threats\n\nAbstract:\n\nMobile systems need to locate themselves ev er more accurately\, and in ever more complex situations. To this end\, th ey are endowed with various sensors\, the data of which are fused to obtai n an estimate of the vehicle’s location\, either globally (with the GPS for instance)\, or locally\, with respect to its surroundings (with camera s for instance). Inertial measurement units (IMUs) are reliable sensors wh ich have been historically used in the aerospace community\, but were cost ly. As the cost of high-grade IMU decreases\, they are becoming more acces sible for various applications. In this talk I will present some recent ad vances in state estimation which have direct consequences on precise inert ial navigation. First\, we will see how the nonlinear consequences of the use of high-grade inertial sensors\, and demonstrates how the nonlinear st ructure of both filtering and smoothing algorithms may be improved by leve raging the invariant filtering framework. Then we will focus on the proble ms incurred by the linear solvers that are used at each step of nonlinear smoothing algorithms as a result of having highly precise sensors. To solv e these issues\, a novel linear least-squares solver will be introduced. T hese works were carried out in a collaboration between the Center for Robo tics of Mines Paristech\, and the company Safran.\n\nBiosketch:\n\nDr. Pau l Chauchat received the engineering degree in Applied Mathematics from Eco le CentraleSupélec\, Gif-sur-Yvette\, France\, in 2016\, and the Ph.D. de gree in Computer Science from Ecole des Mines ParisTech\, Paris\, France\, in 2020. He is currently a Postdoctoral researcher at École nationale su périeure de l'aéronautique et de l'espace (ISAE-SUPAERO)\, working on ro bust linear and non-linear state estimation with applications to navigatio n and remote sensing.\n\nSpeaker(s): Dr. Paul Chauchat\, \n\nVirtual: http s://events.vtools.ieee.org/m/288317 LOCATION:Virtual: https://events.vtools.ieee.org/m/288317 ORGANIZER:daniel.medina@ieee.org SEQUENCE:4 SUMMARY:ITSS Germany Online DLS - 17 November 2021 - Speaker: Dr. Paul Chau chat URL;VALUE=URI:https://events.vtools.ieee.org/m/288317 X-ALT-DESC:Description: <br /><p><span style="font-size: 12pt\;">Join us\, <strong>Wednesday\, 17th of November\, 2021\, at 17:00 PM CET</strong> for an exciting virtual talk by <strong>Dr. Paul Chauchat </strong>on the top ic "<strong>Recent Results on Inertial Navigation: Non-linear Insights and Linear Threats</strong>".</span></p>\n<p><span style="font-size: 12pt\;"> This talk is part of the ITSS Distinguished Lecture Series (DLS)\, organiz ed by the <a href="https://ieee-itss-germany.org/" target="_blank" rel="no opener">ITSS Germany Chapter</a>&nbsp\;and technically co-sponsored by <a href="https://www.isae-supaero.fr/en/" target="_blank" rel="noopener">ISAE -SUPAERO</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: 1 2pt\;">Recent Results on Inertial Navigation: Non-linear Insights and Line ar Threats</span></p>\n<p>&nbsp\;</p>\n<p><span style="font-size: 12pt\;"> <strong>Abstract:&nbsp\;</strong></span></p>\n<p>Mobile systems need to lo cate themselves ever more accurately\, and in ever more complex situations . To this end\, they are endowed with various sensors\, the data of which are fused to obtain an estimate of the vehicle&rsquo\;s location\, either globally (with the GPS for instance)\, or locally\, with respect to its su rroundings (with cameras for instance). Inertial measurement units (IMUs) are reliable sensors which have been historically used in the aerospace co mmunity\, but were costly. As the cost of high-grade IMU decreases\, they are becoming more accessible for various applications. In this talk I will present some recent advances in state estimation which have direct conseq uences on precise inertial navigation. First\, we will see how the nonline ar consequences of the use of high-grade inertial sensors\, and demonstrat es how the nonlinear structure of both filtering and smoothing algorithms may be improved by leveraging the invariant filtering framework. Then we w ill focus on the problems incurred by the linear solvers that are used at each step of nonlinear smoothing algorithms as a result of having highly p recise sensors. To solve these issues\, a novel linear least-squares solve r will be introduced. These works were carried out in a collaboration betw een the Center for Robotics of Mines Paristech\, and the company Safran.</ p>\n<p>&nbsp\;</p>\n<p><strong><span style="font-size: 12pt\;">Biosketch:< /span></strong></p>\n<p><span style="font-size: 12pt\;"><strong>Dr. Paul C hauchat </strong>received the engineering degree in Applied Mathematics fr om Ecole CentraleSup&eacute\;lec\, Gif-sur-Yvette\, France\, in 2016\, and the Ph.D. degree in Computer Science from Ecole des Mines ParisTech\, Par is\, France\, in 2020. He is currently a Postdoctoral researcher at &Eacut e\;cole nationale sup&eacute\;rieure de l'a&eacute\;ronautique et de l'esp ace (ISAE-SUPAERO)\, working on robust linear and non-linear state estimat ion with applications to navigation and remote sensing.</span></p> END:VEVENT END:VCALENDAR