Händelser: Signaler och system, Elektroteknikhttp://www.chalmers.se/sv/om-chalmers/kalendariumAktuella händelser på Chalmers tekniska högskolaThu, 17 Sep 2020 20:07:48 +0200http://www.chalmers.se/sv/om-chalmers/kalendariumhttps://www.chalmers.se/sv/institutioner/e2/kalendarium/Sidor/Masterpresentation-Zhanyu-Tuo.aspxhttps://www.chalmers.se/sv/institutioner/e2/kalendarium/Sidor/Masterpresentation-Zhanyu-Tuo.aspxZhanyu Tuo, MPSYS<p>Webseminarium</p><p>​ Object detection and localization with multi-agent sensor fusion</p><div>​</div> <div><a href="https://chalmers.zoom.us/j/62597196979">Anslut till seminariet via Zoom</a></div> <div>Lösenord: 983755</div> <div><br /></div> <div>Examinator: Fredrik Kahl, Inst för elektroteknik</div> <div>Handledare: Carl Toft, Inst för elektroteknik, Tobias Johansson, Inst för data- och informationsteknik</div> <div><br /></div> <h2 class="chalmersElement-H2">Sammanfattning</h2> <div><br /></div> <div>The development of AD &amp; ADAS has seen rapid progress recently. With the evolution of hardware such as GPUs and sensors, as well as a massive increase in the number of datasets and increasingly powerful algorithms, more and more research projects focusing on AD &amp; ADAS are carried out. In this project, we explore the feasibility of multi-agent sensor fusion for object detection and localization, especially for detection of objects that are occluded in Lidar point clouds, and some prediction results are achieved. In terms of safe driving, it is important to obtain an exhaustive perception of all objects around the ego vehicle. Sometimes surrounding objects to be detected are occluded when all the sensors are installed on an ego vehicle. To detect and localize surrounding objects, especially for those occluded in the Lidar view, Lidar sensor data and aerial photography from a drone are fused off-line. A CNN focusing on instance segmentation is trained using transfer learning along with image augmentation. An image-based 3D reconstruction map is created and matched with a corresponding Lidar SLAM map. Finally, Lidar point clouds are projected onto the corresponding images, and predicted masks from the CNN are used to detect and localize objects in the Lidar point clouds. The method is evaluated on static and dynamic scenarios separately, and objects can be detected and localized based on fused sensors regardless of the occlusion in the Lidar point clouds.<br /></div>https://www.chalmers.se/sv/institutioner/e2/kalendarium/Sidor/Masterpresentation-Gammanage-Xu.aspxhttps://www.chalmers.se/sv/institutioner/e2/kalendarium/Sidor/Masterpresentation-Gammanage-Xu.aspxNipun Gammanage och Fangxe Xu, MPSYS<p>Webseminarium</p><p>​ Applied computer vision-based navigation method for utility vehicles in urban environments</p><div>​</div> <div><a href="https://chalmers.zoom.us/j/64084211077">Anslut till seminariet via Zoom</a></div> <div>Lösenord: 214506</div> <div><br /></div> <div>Examinator: Martin Fabian, Inst för elektroteknik</div> <div><br /></div> <h2 class="chalmersElement-H2">Sammanfattning</h2> <div><br /></div> <div>Autonomous vehicle technology has grown and developed rapidly in recent decades. One of the challenges in autonomous navigation is estimating its current location in terms of an absolute position and a heading direction. A widely used method for vehicular position estimation is GNSS (Global Navigation Satellite System). However, since the accuracy of the GNSS signal depends heavily on the structural behavior of the environment and the weather conditions, new research has open in looking for alternative methods to support GNSS based navigation.  <br /><br />The goal of this thesis was to implement and evaluate the feasibility of using a computer vision-based navigation method as a substitute for GNSS-based navigation. The current position and the direction of the vehicle were estimated, using a state-of-the-art visual SLAM method called OpenVSALM using stereo vision. Furthermore, the system was evaluated against the standard KITTI odometry dataset, and with a real scene captured with an on-board stereo camera rig. Feature extraction and tracking are the key features in any visual SLAM method, hence a comprehensive study was also conducted to evaluate the quality of feature detection and tracking, based on the field of view (FoV) of the camera. <br /><br />Results show that the FoV reduction exponentially increases the error in pose estimation (relative translation and rotation). Results were evaluated using the Absolute Trajectory Error (ATE) and the current system with an FoV of just 23 degrees (which is an FoV reduction of 80% compared to the standard KITTI Odometry dataset) shows a mean ATE of 6.8m for a 30m by 30m area.<br /></div>https://www.chalmers.se/sv/institutioner/e2/kalendarium/Sidor/Licentiatseminarium-Yuvaraj-Selvaraj.aspxhttps://www.chalmers.se/sv/institutioner/e2/kalendarium/Sidor/Licentiatseminarium-Yuvaraj-Selvaraj.aspxYuvaraj Selvaraj, Elektroteknik<p>https://chalmers.zoom.us/j/66091230855</p><p>​Titel på uppsatsen: On Provably Correct Decision-Making for Automated Driving</p><a href="https://chalmers.zoom.us/j/66091230855">​Anslut till seminariet från PC, Mac, Linux, iOS eller Android via Zoom ​</a><div> Maila till PhdAdm.e2@chalmers.se i god tid innan seminariet för att få lösenordet</div> <div><br /></div> <div><div>The seminar can be accessed through Zoom, and it will open shortly before 10:00. We would kindly ask you to keep the video off and mute the microphone during the seminar. At the end of the session there will be an opportunity to ask questions through Zoom. In case there will be any updates about the event, these will be posted on this website.</div> <div><br /></div> <div><span style="background-color:initial">Yuvaraj Selvaraj är industridoktorand vid forskargruppen Automation </span><div>Diskussionsledare är Professor Cristina Seceleanu, Mälardalens högskola</div> <div>Examinator är Professor Martin Fabian vid forskargruppen Automation</div> <h3 class="chalmersElement-H3">Sammanfattning </h3> <div><div>The introduction of driving automation in road vehicles can potentially reduce road traffic crashes and significantly improve road safety. Automation in road vehicles also brings several other benefits such as the possibility to provide independent mobility for people who cannot and/or should not drive. Many different hardware and software components (e.g. sensing, decision-making, actuation, and control) interact to solve the autonomous driving task. Correctness of such automated driving systems is crucial as incorrect behaviour may have catastrophic consequences. </div> <div><br /></div> <div>Autonomous vehicles operate in complex and dynamic environments, which requires decision-making and planning at different levels. The aim of such decision-making components in these systems is to make safe decisions at all times. The challenge of safety verification of these systems is crucial for the commercial deployment of full autonomy in vehicles. Testing for safety is expensive, impractical, and can never guarantee the absence of errors. In contrast, formal methods, which are techniques that use rigorous mathematical models to build hardware and software systems can provide a mathematical proof of the correctness of the system. </div> <div><br /></div> <div>The focus of this thesis is to address some of the challenges in the safety verification of decision-making in automated driving systems. A central question here is how to establish formal verification as an efficient tool for automated driving software development.</div> <div><br /></div> <div>A key finding is the need for an integrated formal approach to prove correctness and to provide a complete safety argument. This thesis provides insights into how three different formal verification approaches, namely supervisory control theory, model checking, and deductive verification differ in their application to automated driving and identifies the challenges associated with each method. It identifies the need for the introduction of more rigour in the requirement refinement process and presents one possible solution by using a formal model-based safety analysis approach.  To address challenges in the manual modelling process, a possible solution by automatically learning formal models directly from code is proposed.<span style="background-color:initial">​</span></div></div> <div><br /></div></div></div>https://www.chalmers.se/sv/institutioner/e2/kalendarium/Sidor/Power-Electronics-Technology-SV.aspxhttps://www.chalmers.se/sv/institutioner/e2/kalendarium/Sidor/Power-Electronics-Technology-SV.aspxPower Electronics Technology - Quo Vadis<p>Meddelas senare</p><p>​Välkommen till ett seminarium arrangerat av nätverket EM-lab vid institutionen för elektroteknik.</p>​<img src="/SiteCollectionImages/Institutioner/E2/Kalendarium/EM%20lab/Frede-Blaabjerg_300x200px.jpg" class="chalmersPosition-FloatRight" alt="" style="margin:5px;width:140px;height:210px" /><br /><span style="background-color:initial">Titel: </span>Power Electronics Technology - Quo Vadis<div><br /></div> <div>Föredragshållare: professor Frede Blaabjerg, <span style="background-color:initial">Aalborg Universitet</span>, Danmark </div> <div><br /></div> <div><br /></div> <div><a href="/en/departments/e2/calendar/Pages/Power-Electronics-Technology-Quo-Vadis.aspx"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/ichtm.gif" alt="" />Läs mer i det engelska kalendariet</a></div> <div><br /></div>https://www.chalmers.se/sv/institutioner/e2/kalendarium/Sidor/Elena-Malz-2,-Elektroteknik.aspxhttps://www.chalmers.se/sv/institutioner/e2/kalendarium/Sidor/Elena-Malz-2,-Elektroteknik.aspxElena Malz, Elektroteknik<p>online</p><p>​Titel: Airborne Wind Energy - to fly or not to fly?</p><div><a href="https://chalmers.zoom.us/j/63352314290">​Join from PC, Mac, Linux, iOS or Android<br /></a></div> <div><a href="https://chalmers.zoom.us/j/63352314290"><br /></a></div> <div>Maila till PhdAdm.e2@chalmers.se i god tid innan seminariet för att få lösenordet<br /><br />​<em>The seminar can be accessed through Zoom, and it will open shortly before 13.00. We would kindly ask you to keep the video off and mute the microphone during the seminar. At the end of the session there will be an opportunity to ask questions through Zoom. In case there will be any updates about the event, these will be posted on this website.​</em><br /><br />Elena Malz är doktorand vid forskargruppen reglerteknik, Avdelningen för system-och reglerteknik<br />Fakultetsopponent är Associate Professor Roland Schmehl, Delft University of Technology, Netherlands<br />Examinator är Professor Sebastien Gros, NTNU Norge och Chalmers<br /><br /><a href="https://chalmers.zoom.us/j/63352314290"></a></div>https://www.chalmers.se/sv/institutioner/e2/kalendarium/Sidor/Docentforelasning-Mebtu-Bihonegn-Beza.aspxhttps://www.chalmers.se/sv/institutioner/e2/kalendarium/Sidor/Docentforelasning-Mebtu-Bihonegn-Beza.aspxDocentföreläsning med Mebtu Bihonegn Beza<p>Föreläsningen kommer att hållas online via Zoom, välkommen att delta via länken ovan</p><p>Titel på föredraget: Control and modeling for stability studies in power electronics dominated grids</p><p></p> Välkommen att delta vid Mebtu Bihonegn Beza's publika föreläsning i samband med hans befordran till oavlönad docent. Föreläsningen kommer att hållas online.<p></p> <div><a href="https://chalmers.zoom.us/j/61006843184" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />Anslut till föreläsningen via denna Zoom-länk</a></div> <h2 class="chalmersElement-H2"><img src="/SiteCollectionImages/Institutioner/EoM/Nyheter/Beza.jpg" class="chalmersPosition-FloatRight" alt="" style="margin:5px" />Beskrivning av föredraget<br /></h2> Mebtu BezaRenewable energy sources will play a significant role as utilities and power providers prefer a cleaner and more sustainable sources of energy. In line with this trend, the capacity of renewable generation such as wind and solar installations will continue to increase worldwide. At the heart of this trend is the use of power electronics to interface the energy sources to the power grid at transmission level. This brings both opportunities and challenges to the everchanging power system dominated by power-electronic components. The aim of this lecture is to highlight some of challenges in a power-electronic dominated grids and discuss current trends in modeling approaches to address the phenomena, with a special focus on stability studies ranging from about one to hundreds of Hertz. https://www.chalmers.se/sv/institutioner/e2/kalendarium/Sidor/Erik-Stenborg-2,-Elektroteknik.aspxhttps://www.chalmers.se/sv/institutioner/e2/kalendarium/Sidor/Erik-Stenborg-2,-Elektroteknik.aspxErik Stenborg, Elektroteknik<p>online</p><p>​Titel på avhandlingen: Long-Term Localization for Self-Driving Cars</p><p></p> <a href="https://chalmers.zoom.us/j/61015234057" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />​Anslut till seminariet från PC, Mac, Linux, iOS or Android, via Zoom</a><p></p> <em>Seminariet kan nås via Zoom och öppnar strax före kl. 14.00</em><span><em><span><span><em>.<span style="display:inline-block"></span></em></span></span> Vi ber dig att hålla din webbkamera och mikrofon avstängda under seminariet.</em></span><em> </em><span><em>I slutet av sessionen kommer det att finnas en möjlighet att ställa frågor genom Zoom.</em></span><em> </em><span><em>Eventuella uppdateringar om evenemanget kommer att publiceras på denna webbplats.</em><p></p> <p>Erik Stenborg är doktorand vid avdelningen Signalbehandling och medicinsk teknik</p> <p>Fakultetsopponent är Professor Jan-Michael Frahm, University of North Carolina at Chapel Hill, USA</p> <p>Examinator är Professor Lennart Svensson, <span>avdelningen Signalbehandling och medicinsk teknik, Chalmers</span></p> <h2 class="chalmersElement-H2">Sammanfattning av avhandlingen</h2> <p>Long-term localization is hard due to changing conditions, while relative localization within time sequences is much easier. To achieve long-term localization in a sequential setting, such as, for self-driving cars, relative localization should be used to the fullest extent, whenever possible.</p> <p>This thesis presents solutions and insights both for long-term sequential visual localization, and localization using global navigational satellite systems (GNSS), that push us closer to the goal of accurate and reliable localization for self-driving cars. It addresses the question: How to achieve accurate and robust, yet cost-effective long-term localization for self-driving cars?</p> <p>Starting in this question, the thesis explores how existing sensor suites for advanced driver-assistance systems (ADAS) can be used most efficiently, and how landmarks in maps can be recognized and used for localization even after severe changes in appearance. The findings show that:<br /></p> <ul><li>State-of-the-art ADAS sensors are insufficient to meet the requirements for localization of a self-driving car in less than ideal conditions.</li> <li>GNSS and visual localization are identified as areas to improve.</li> <li>Highly accurate relative localization with no convergence delay is possible by using time relative GNSS observations with a single band receiver, and no base stations.</li> <li>Sequential semantic localization is identified as a promising focus point for further research based on a benchmark study comparing state-of-the-art visual localization methods in challenging autonomous driving scenarios including day-to-night and seasonal changes.</li> <li>A novel sequential semantic localization algorithm improves accuracy while significantly reducing map size compared to traditional methods based on matching of local image features.</li> <li>Improvements for semantic segmentation in challenging conditions can be made efficiently by automatically generating pixel correspondences between images from a multitude of conditions and enforcing a consistency constraint during training.</li> <li>A segmentation algorithm with automatically defined and more fine-grained classes improves localization performance.</li> <li>The performance advantage seen in single image localization for modern local image features, when compared to traditional ones, is all but erased when considering sequential data with odometry, thus, encouraging to focus future research more on sequential localization, rather than pure single image localization.<span> <span style="display:inline-block"></span></span></li></ul> </span>https://www.chalmers.se/sv/institutioner/e2/kalendarium/Sidor/Installationsforelasning-Daniel-Karlsson-.aspxhttps://www.chalmers.se/sv/institutioner/e2/kalendarium/Sidor/Installationsforelasning-Daniel-Karlsson-.aspxInstallationsföreläsning, Daniel Karlsson<p>Delta via zoomlänken ovan. En begränsad publik kan närvara i HB2, Hörsalsvägen 8, Campus Johanneberg</p><p>​Välkommen till installationsföreläsning: Daniel Karlsson för positionen som adjungerad professor vid institutionen för elektroteknik.​​</p><div><img src="/SiteCollectionImages/Institutioner/E2/Kalendarium/Daniel_Karlsson_117x173px.jpg" class="chalmersPosition-FloatRight" alt="" style="margin:5px" /><br /></div> ​<span style="background-color:initial">Titel på föreläsningen: Power System Operation and Control – Recent and Future Focus Areas – A Personal Perspective</span><div><br /></div> <div>Seminariet hålls via videolänk och dessutom för en begränsad publik på plats på Chalmers.</div> <div><a href="https://chalmers.zoom.us/j/63815100323" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />Anslut till seminariet via Zoom​​​</a></div> <div><br /></div> <div><a href="/en/departments/e2/calendar/Pages/Inauguration-lecture-Daniel-Karlsson.aspx"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/ichtm.gif" alt="" />Läs mer i det engelska kalendariet</a></div> https://www.chalmers.se/sv/styrkeomraden/produktion/kalendarium/Sidor/Produktion-i-rymden.aspxhttps://www.chalmers.se/sv/styrkeomraden/produktion/kalendarium/Sidor/Produktion-i-rymden.aspxFRAMFLYTTAT: Produktion i rymden<p>RunAn, conference hall, Chalmersplatsen 1, Kårhuset</p><p>På grund av rådande pandemisituation läggs seminariet i omloppsbana. Nytt datum för seminariet är 4 maj, 2021.</p>​Den nya rymdåldern är här! Det tar vi fasta på i årets initiativseminarium som spinner vidare på 50-årsfirandet av månlandningen.​​<div><span style="background-color:initial">Hur tillverkar man för rymden? Vad forskar man på i rymden? Kan man tillverka produkter på Mars? Och hur bidrar Chalmers till rymdteknik och forskning? Det är några av de frågor vi kommer att lyfta under temat: Produktion i rymden.<br /></span> ​</div>https://www.chalmers.se/sv/institutioner/e2/kalendarium/Sidor/International-Conference-on-Phantom-Limb-Pain-SV.aspxhttps://www.chalmers.se/sv/institutioner/e2/kalendarium/Sidor/International-Conference-on-Phantom-Limb-Pain-SV.aspxInternational Conference on Phantom Limb Pain<p>R-huset, Mölndals sjukhus, Mölndal</p><p>​Den första internationella konferensen om fantomsmärta, Phantom Limb Pain, (ICPLP) sammanför framstående experter inom forskning och behandling av fantomsmärtor i ett forum för öppen diskussion om teorier och rön.</p>​<div>​Läs mer <br /></div> <div><a href="/sv/institutioner/e2/nyheter/Sidor/Forsta-forskarkonferensen-om-fantomsmartornas-gata.aspx"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/ichtm.gif" alt="" />​<span style="background-color:initial">Första forskarkonferensen om fantomsmärtornas gåta <br /></span></a></div> <div><span style="background-color:initial"><br /></span></div> <div><span style="background-color:initial">Mer information och anmälan till konferensen</span></div> <div><a href="http://www.bnl.chalmers.se/wordpress/index.php/icplp-2020/" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />ICPLP:s webbplats​</a></div> <div><br /></div> <div>Konferensen var ursprungligen planerad att hållas den 2-4 september 2020 men har flyttats fram i tiden på grund av coronapandemin.</div> <div><br /></div>