BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//WASP - ECPv6.16.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:WASP
X-ORIGINAL-URL:https://wasp-sweden.org
X-WR-CALDESC:Events for WASP
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:+01:00
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=+01:00:20200429T131500
DTEND;TZID=+01:00:20200429T235900
DTSTAMP:20260602T144642
CREATED:20200406T131036Z
LAST-MODIFIED:20260601T083912Z
UID:10000329-1588166100-1588204740@wasp-sweden.org
SUMMARY:Olov Andersson – Learning to Make Safe Real-Time Decisions Under Uncertainty for Autonomous Robots
DESCRIPTION:Abstract\nRobots are increasingly expected to go beyond controlled environments in laboratories and factories\, to act autonomously in real-world workplaces and public spaces. Autonomous robots navigating the realworld have to contend with a great deal of uncertainty\, which poses additional challenges. Uncertainty in the real world accrues from several sources. Some of it may originate from imperfect internal models of reality. Other uncertainty is inherent\, a direct side effect of partial observability induced by sensor limitations and occlusions. \nRegardless of the source\, the resulting decision problem is unfortunately computationally intractable under uncertainty. This poses a great challenge as the real world is also dynamic. It will not pause while the robot computes a solution. Autonomous robots navigating among people\, for example in traffic\, need to be able to make split-second decisions. Uncertainty is therefore often neglected in practice\, with potentially catastrophic consequences when something unexpected happens. \nThe aim of this thesis is to leverage recent advances in machine learning to compute safe real-time approximations to decision-making under uncertainty for realworld robots. We explore a range of methods\, from probabilistic to deep learning\, as well as different combinations with optimization-based methods from robotics\, planning and control. Driven by applications in robot navigation\, and grounded in experiments with real autonomous quadcopters\, we address several parts of this problem. From reducing uncertainty by learning better models\, to directly approximating the decision problem itself\, all the while attempting to satisfy both the safety and real-time requirements of real-world autonomy. \n————————————————– \nThis work has been supported by the Wallenberg AI\, Autonomous Systems and Software Program\, the Swedish Foundation for Strategic Research (SSF) project Symbicloud and the ELLIIT Excellence Center at Linköping-Lund for Information Technology\, in addition to those sources already acknowledged in the individual papers. \nOriginal location: Linköping University\, Online Disputation
URL:https://wasp-sweden.org/event/olov-andersson-learning-to-make-safe-real-time-decisions-under-uncertainty-for-autonomous-robots/
LOCATION:Linköping University\, Linköping University\, Linköping\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20200415T133000
DTEND;TZID=+01:00:20200415T235900
DTSTAMP:20260602T144642
CREATED:20200406T130241Z
LAST-MODIFIED:20260601T083913Z
UID:10000330-1586957400-1586995140@wasp-sweden.org
SUMMARY:Rebekka Wohlrab – Living Boundary Objects to Support Agile Inter-Team Coordination at Scale
DESCRIPTION:Context: In the last decades\, large-scale agile development has received increasing attention\, as also organizations with many stakeholders and large systems aim for higher development speed and focus on customer value. A recognized research challenge in large-scale agile development relates to inter-team coordination. To coordinate effectively\, organizations need to identify what knowledge is required across team borders and how it can be managed over time. Knowledge is potentially manifested in boundary objects – artifacts that create a shared understanding between teams (e.g.\, requirements or architecture descriptions). Traceability between artifacts is a key necessity to manage change in agile contexts. Moreover\, agile practitioners aim to reduce the documentation effort to absolutely crucial artifacts and trace links. \nObjective: This thesis aims to improve how practitioners can manage knowledge for inter-team coordination in large-scale agile development. We focus especially on how knowledge can be made explicit in artifacts and trace links that are evolved over time. \nMethod: We empirically investigated problems and developed solutions using a research approach that was inspired by design science. Case studies\, an in-depth design science study\, a mixed methods study\, and surveys were performed. Using this mix of research methods\, we leveraged both qualitative and quantitative data. \nResults: We coined the concept of living boundary objects to manage knowledge for inter-team coordination. Living boundary objects are boundary objects that are traced to other artifacts\, kept up to date\, and serve for inter-team coordination. They should be established early in the lifecycle to create a common understanding of the product to be developed. We scrutinized architecture descriptions\, interfaces\, and requirements and traceability information models as examples of concrete boundary objects. We recommend establishing alignment using a common high-level structure\, but also supporting diverse knowledge management practices to fulfill the individual needs of agile teams. \nConclusions: Our contributions help to establish knowledge management practices that are considered beneficial by practitioners and focus on the crucial aspects to align agile teams on. We suggest concepts and requirements for knowledge management tools that take the distinct role of living boundary objects into consideration and can be adjusted as organizations’ needs evolve. \nOriginal location: Online Disputation
URL:https://wasp-sweden.org/event/rebekka-wohlrab-living-boundary-objects-to-support-agile-inter-team-coordination-at-scale/
LOCATION:Online\, Online\, Other
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20200207T131500
DTEND;TZID=+01:00:20200207T235900
DTSTAMP:20260602T144642
CREATED:20191220T095818Z
LAST-MODIFIED:20260601T083915Z
UID:10000336-1581081300-1581119940@wasp-sweden.org
SUMMARY:Timing-Based Localization using Multipath Information
DESCRIPTION:Degree and subject: Licentiate in Electrical Engineering with specialization in Automatic Control \nSpeaker: Andreas Bergström \nOpponent: Dr. Erik Leitinger\, TU Graz \nSupervisor: Prof. Fredrik Gustafsson \nCo-supervisors: Assoc. Prof. Gustaf Hendeby and Assoc. Prof. Fredrik Gunnarsson \nLanguage: English \nAbstract\nThe measurements of radio signals are commonly used for localization purposes where the goal is to determine the spatial position of one or multiple objects. In realistic scenarios\, any transmitted radio signal will be affected by the environment through reflections\, diffraction at edges and corners etc. This causes a phenomenon known as multipath propagation\, by which multiple instances of the transmitted signal having traversed different paths are heard by the receiver. These are known as Multi-Path Components (MPCs). The direct path (DP) between transmitter and receiver may also be occluded\, causing what is referred to as non-Line-of-Sight (non-LOS) conditions. As a consequence of these effects\, the estimated position of the object(s) may often be erroneous. \nThis thesis focuses on how to achieve better localization accuracy by accounting for the above-mentioned multipath propagation and non-LOS effects. It is proposed how to mitigate these in the context of positioning based on estimation of the DP between transmitter and receiver. It is also proposed how to constructively utilize the additional information about the environment which they implicitly provide. This is all done in a framework wherein a given signal model and a map of the surroundings are used to build a mathematical model of the radio environment\, from which the resulting MPCs are estimated. \nFirst\, methods to mitigate the adverse effects of multipath propagation and non-LOS conditions for positioning based on estimation of the DP between transmitter and receiver are presented. This is initially done by using robust statistical measurement error models based on aggregated error statistics\, where significant improvements are obtained without the need to provide detailed received signal information. The gains are seen to be even larger with up-to-date real-time information based on the estimated MPCs. \nSecond\, the association of the estimated MPCs with the signal paths predicted by the environmental model is addressed. This leads to a combinatorial problem which is approached with tools from multi-target tracking theory. A rich radio environment in terms of many MPCs gives better localization accuracy but causes the problem size to grow large — something which can be remedied by excluding less probable paths. Simulations indicate that in such environments\, the single best association hypothesis may be a reasonable approximation which avoids the calculation of a vast number of possible hypotheses. Accounting for erroneous measurements is crucial but may have drawbacks if no such are occurring. \nFinally\, theoretical localization performance bounds when utilizing all or a subset of the available MPCs are derived. A rich radio environment allows for good positioning accuracy using only a few transmitters/receivers\, assuming that these are used in the localization process. In contrast\, in a less rich environment where basically only the DP/LOS components are measurable\, more transmitters/receivers and/or the combination of downlink and uplink measurements are required to achieve the same accuracy. The receiver’s capability of distinguishing between multiple MPCs arriving approximately at the same time also affects the localization accuracy.
URL:https://wasp-sweden.org/event/timing-based-localization-using-multipath-information/
LOCATION:Ada Lovelace\, B-building\, Campus Valla\, Linköping University\, Ada Lovelace\, B-building\, Campus Valla\, Linköping University\, Linköping\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20200124T131500
DTEND;TZID=+01:00:20200124T235900
DTSTAMP:20260602T144642
CREATED:20191216T130039Z
LAST-MODIFIED:20260601T083916Z
UID:10000337-1579871700-1579910340@wasp-sweden.org
SUMMARY:Webinar – Call for Industrial PhD Students
DESCRIPTION:Here you can see the recording of the webinar. \n  \nInterested in WASP’s upcoming Industrial PhD call within AI? Join our webinar to learn more! \nWASP invites everyone interested in the upcoming WASP AI Industrial PhD Call to an information webinar at January 24th\, 2020\, 13:15-15:00. The webinar will be held through Zoom. If you wish to attend\, please register through the link below. You will receive a meeting invitation a couple of days before the webinar. \nAbout the WASP AI Industrial PhD Call\nWASP is offering up to 15 industrial doctoral student positions within AI in 2020. The positions are offered at the five partner universities Chalmers\, KTH\, Linköping University\, Lund University and Umeå University\, as well as at the research groups at Örebro University and Uppsala University that are members of WASP AI. The projects are expected to address fundamental research problems within AI and expect to have a strong visionary and novelty nature. The call opens January 20th\, 2020. \nWASP industrial PhD students will be part of the WASP graduate school. The graduate school is making efforts to actively attract industrial PhD students. To make the industrial PhD studies relevant to companies\, courses offered in the program are tailored to meet the future needs in industry. \nAbout Industrial PhD studies\nIn our recently published Industrial PhD Report\, an overall comment from the editors is the possibilities for industry to think of industrial PhD students as a strategic instrument. The main types of results for participating industry are partly concrete in the form of research results and a doctoral degree but also\, as shown in recent research\, participating industries improve their overall innovation capability. \nWebinar Program\n\n\n\n13:15\nIntroduction by Anders Ynnerman\, Linköping University (WASP) and Danica Kragic\, KTH (WASP AI)\n\n\n13:30\nGeneral presentation about WASP Industrial PhD program\, Karl-Erik Årzén\, Lund University\n\n\n13:55\n WASP AI graduate school\, Amy Loutfi\, Örebro University\n\n\n14:15\nPerspectives from a WASP Industrial Supervisor and a WASP Industrial PhD student\, Salla Franzén and Ciwan Ceylan SEB\n\n\n14:45\n Questions and discussion\n\n\n15:00\nWrap up\n\n\n\nPlease register to the webinar no later than January 20th. A link to the webinar will be sent to all registered participants January 21st.
URL:https://wasp-sweden.org/event/webinar-call-for-industrial-phd-students/
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/jpeg:https://wasp-sweden.org/wp-content/uploads/2019/12/photo-of-blue-pink-and-green-led-light-775907-e1576499414990.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20200116T000000
DTEND;TZID=+01:00:20200116T235959
DTSTAMP:20260602T144642
CREATED:20200109T103605Z
LAST-MODIFIED:20260601T083915Z
UID:10000335-1579132800-1579219199@wasp-sweden.org
SUMMARY:Designing for machine learning in medical image diagnostics – Enabling efficient ensembles of professional medical practitioners and learning machines through interaction design
DESCRIPTION:WASP industrial PhD student Martin Lindvall is having his halftime seminar. A halftime seminar is the equivalent of a licentiate seminar\, where Martin will be presenting his ongoing PhD work and discuss it with docent Ylva Fernaeus of KTH\, our external discussant. \nTitle\nDesigning for machine learning in medical image diagnostics — Enabling efficient ensembles of professional medical practitioners and learning machines through interaction design \nAbstract\nAdvancements in machine learning (ML) has led to a dramatic increase in AI capabilities for medical diagnostic tasks. However\, despite impressive technical advances\, predictive algorithms are to a very small extent used in healthcare today. A lack of design considerations and inefficient human-AI collaborations has been identified as a major factor limiting adoption in clinical settings. \nUsing a constructive design research approach\, my work explores how we might design systems with ML components that aid clinical decision-making. Preliminary results are derived from experiments and experiences from four projects\, all aiming to produce novel interactive systems for or with ML components. \nPreliminary contributions consist of identifying design challenges and suitable interaction strategies for human-ML collaboration at different stages of automatic support. Specifically\, I present three works that address challenges in designing for effective human-machine teaching and two in-progress works that address the challenge of designing interactions that afford successful collaborative strategies despite the uncertainty inherent in machine predictions. \nOriginal location: KO301\, Campus Norrköping\, Kopparhammaren 2\, Third floor
URL:https://wasp-sweden.org/event/designing-for-machine-learning-in-medical-image-diagnostics-enabling-efficient-ensembles-of-professional-medical-practitioners-and-learning-machines-through-interaction-design/
LOCATION:Campus Norrköping\, Linköping University\, Campus Norrköping\, Linköping University\, Norrköping\, Sweden
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20200113T120000
DTEND;TZID=+01:00:20200115T235900
DTSTAMP:20260602T144642
CREATED:20191108T124025Z
LAST-MODIFIED:20260601T083918Z
UID:10000344-1578916800-1579132740@wasp-sweden.org
SUMMARY:WASP Winter Conference 2020
DESCRIPTION:Winter Conference at Konsert & Kongress in Linköping.\nThe winter conference is an internal WASP conference held in January every year. It includes a kick-off for new PhD students and new supervisors\, in which an introduction is given to the WASP graduate school and related activities. In the conference part\, WASP research results are presented by the PhD students. Also\, shorter and longer talks are given on WASP-related topics. After the actual conference\, the WASP clusters meet to plan for the coming year. \nThis three-day event provides an excellent opportunity to get an overview of WASP’s graduate school and research results. It is mandatory for the PhD students and it is the only recurring occasion where the whole WASP community gathers. Please see the internal webpage for detailed information. \nProgram\nJanuary 13th\n12:00-13:00 Lunch\n13:00-17:00 Kick-off  (new PhD students and supervisors)\n19:00 Kick-off Dinner \nJanuary 14th\n09:00-10:00 Kick-off (cont.)\n10:00-10:30 Get-together Coffee\n10:30-17:00 WASP Conference including lunch (everyone in WASP)\n19:00 Conference dinner \nJanuary 15th\n09:00-12:00 WASP Conference (cont.)\n12:00-13:00 Lunch\n13:00-15:00 Separate WASP Cluster meetings (primarily for PhD students but everyone is welcome)
URL:https://wasp-sweden.org/event/wasp-winter-conference-2020/
LOCATION:Konsert & Kongress\, Linköping\, Konsert & Kongress\, Linköping\, Linköping\, Sweden
CATEGORIES:Conference
ATTACH;FMTTYPE=image/jpeg:https://wasp-sweden.org/wp-content/uploads/2019/11/konsert-och-kongress-liten-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20191216T101500
DTEND;TZID=+01:00:20191216T235900
DTSTAMP:20260602T144642
CREATED:20191126T074826Z
LAST-MODIFIED:20260601T083916Z
UID:10000338-1576491300-1576540740@wasp-sweden.org
SUMMARY:Data-driven Condition Monitoring in Mining Vehicles
DESCRIPTION:Name: Erik Jakobsson\nDegree: Licentiate in Electrical Engineering\nTitle: Data-driven Condition Monitoring in Mining Vehicles\nLink to thesis: http://www.diva-portal.org/smash/record.jsf?pid=diva2%3A1371480&dswid=-8493 \nOriginal location: Ada Lovelace\, B-Huset\, Campus Valla\, Linköping University\, Linköping
URL:https://wasp-sweden.org/event/data-driven-condition-monitoring-in-mining-vehicles/
LOCATION:Ada Lovelace\, B-building\, Campus Valla\, Linköping University\, Ada Lovelace\, B-building\, Campus Valla\, Linköping University\, Linköping\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20191212T101500
DTEND;TZID=+01:00:20191212T235900
DTSTAMP:20260602T144642
CREATED:20191125T160748Z
LAST-MODIFIED:20260601T083916Z
UID:10000339-1576145700-1576195140@wasp-sweden.org
SUMMARY:Computation of Autonomous Safety Maneuvers Using Segmentation and Optimization
DESCRIPTION:Name: Pavel Anistratov \nDegree: Licentiate in Electrical Engineering with specialization in Vehicular Systems \nTitle: Computation of Autonomous Safety Maneuvers Using Segmentation and Optimization \nLink to thesis: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-162164 \nLink to calendar: https://old.liu.se/liu-nytt/kalendarium/?l=sv \nOriginal location: Ada Lovelace\, B-Huset\, Campus Valla\, Linköping University\, Linköping
URL:https://wasp-sweden.org/event/computation-of-autonomous-safety-maneuvers-using-segmentation-and-optimization/
LOCATION:Ada Lovelace\, B-building\, Campus Valla\, Linköping University\, Ada Lovelace\, B-building\, Campus Valla\, Linköping University\, Linköping\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20191118T090000
DTEND;TZID=+01:00:20191118T235900
DTSTAMP:20260602T144642
CREATED:20191112T092540Z
LAST-MODIFIED:20260601T083918Z
UID:10000343-1574067600-1574121540@wasp-sweden.org
SUMMARY:WASP4ALL – Future Computing Platforms for X
DESCRIPTION:First Annual WASP Open Conference in Stockholm November 18th\nDon’t miss the opportunity to attend the first open WASP conference. The 2019 theme will be future computing platforms. \nWe will dive into hands on aspects of the hottest and most urgent applications in need of state-of-the-art computing and scrutinize the specific needs of areas such as AI/Machine Learning\, Visual Computing\, Data Analytics\, and Autonomous Agents and Software.  The meeting will cover a range of computing related topics\, from both a hardware and software perspective\, of highest possible relevance to WASP researchers and affiliates. \nThe starting point is the near future for computing in terms of GPUs and FPGAs\, tailored energy efficient architectures\, and cloud and edge computing. We will then explore in-depth other architectures and software solutions on the horizon and the possibilities they will offer. We will also provide a glimpse of the long term future and what quantum computing will bring to the table. The complex interplay between platforms and applications and the tools needed for efficient application development will be highlighted. \nOur target audience is general researchers and developers in both academia and industry and the presentations will have a general technical content\, but with a serious touch of interesting research and hard core technology. If you will be in need of leading edge computing platforms for your applications in the future this is a meeting you cannot miss. \nWelcome! \nDetails\nArrival registration and coffee from 8:30 \nTime: Program from 9:00–16:00\nLocation: Folkets hus\, Barnhusgatan 12-14\, Stockholm \nContact\nIf you have any questions regarding the event\, please contact: wasp.event@partner.liu.se  \n\nProgram\n08:30 Registration and coffee \nSession I\nChair: Anders Ynnerman\, Linköping University \n09:00 Opening remarks and introduction to the seminar\, Anders Ynnerman \n09:15 Keynote: GPU Computing for Graphics and AI\, Tomas Akenine-Möller\, NVIDIA \n10:00 The Processing-in-Memory Paradigm for Deep Neural Networks\, Per Stenström\, Chalmers \n10:30 Coffee \nSession II\nChair: Karl-Erik Årzén\, Lund University \n11:00 The Bitter Lesson of ML Pipelines and Deep Learning\, Jim Dowling\, KTH \n11:30 Use-case: Machine Learning for Visual Perception\, Michael Felsberg\, Linköping University \n12:00 Lunch \nSession III\nChair: Danica Kragic\, KTH \n13:00 Computing on the edge\, Erik Elmroth\, Umeå University \n13:30 The Next Industrial Revolution and the Digital Transformation of Society\, Robin Teigland\, Chalmers \n14:00 The SNIC computational landscape\, Hans Karlsson\, Uppsala universitet \n14:30 The evolving commercial computational landscape\, Johan Eker\, Lund University \n14:50 Coffee  \nSession IV\nChair: Johan Håstad\, KTH \n15:10 Quantum computing – from physics research towards a breakthrough in computer technology\, Jonas Bylander\, Chalmers \n15:35 Post quantum cryptography\, Thomas Johansson\, Lund University \n16:00 Wrap up \n\nProgram Committee\nAnders Ynnerman\, Danica Kragic\, Karl-Erik Årzén\, Johan Håstad \nOriginal location: Folkets hus\, Barnhusgatan 12-14\, Stockholm
URL:https://wasp-sweden.org/event/wasp4all-future-computing-platforms-for-x/
LOCATION:Stockholm\, Stockholm\, Stockholm\, Sweden
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20190918T100000
DTEND;TZID=+01:00:20190919T235900
DTSTAMP:20260602T144642
CREATED:20191112T103435Z
LAST-MODIFIED:20260601T083918Z
UID:10000342-1568800800-1568937540@wasp-sweden.org
SUMMARY:Public Safety Research Arena Demonstration
DESCRIPTION:WASP Public Safety Research Arena (WARA-PS) will once again host a demonstration with several projects. Invited guests will take part of demos\, discussions and presentations and be a part of defining the future research agenda. News this year is more vehicles\, more autonomy and cooperation with SMaRC research arena. \nDates: 2019-09-18 – 2019-09-19\nLocation: Gränsö Slott\, Västervik\nThis event is open by invitation only \n  \nAgenda\nMonday 16th of September – Wednesday 18th of September \nCore team and PhD student research and preparations \nWednesday 18th of September  \n“What has been done and the direction” \n10-11 Drop in and coffee \n11.00 Welcome and start of workshop \n12.00 Lunch and exhibition \n13.00 Research presentations from PhDs \n14-16.30 Demonstrations: In air\, on water\, under water\, in the cloud\,… \n16.30-17 Summary Day 1 \n17-18 Exhibition\, Posters\, Separate workshops\, free time\,… \n20.00 Dinner \nThursday 19th of September\n“Details\, feedback and looking forward” \n(Depending on weather conditions this day might also contain live demonstrations) \n9-10 Core system\, research topics \n10-10.30 Challenges and trends in Public Safety \n10.30-11.30 Parallel sessions: Project presentations + How to work in WARA-PS \n11.30-12 End of workshop \n12-13 Lunch and exhibition \n13-14 WARA-PS Core team summing up (only Core team) \nOriginal location: Gränsö slott\, Västervik
URL:https://wasp-sweden.org/event/public-safety-research-arena-demonstration/
LOCATION:Gränsö Slott\, Västervik\, Gränsö Slott\, Västervik\, Västervik\, Sweden
CATEGORIES:Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20190914T000000
DTEND;TZID=+01:00:20190914T235959
DTSTAMP:20260602T144642
CREATED:20190708T153536Z
LAST-MODIFIED:20260601T083919Z
UID:10000345-1568419200-1568505599@wasp-sweden.org
SUMMARY:WASP Workshop on Smart Localization Systems
DESCRIPTION:By invitation only \nThe annual conference is this year placed at Gränsö in order to highlight the need for good positioning in autonomous systems used in air\, land and on water. The agenda and content is arranged by FOI\, the Swedish Defence Research Agency in cooperation with WASP WARA-PS.
URL:https://wasp-sweden.org/event/wasp-workshop-on-smart-localization-systems/
LOCATION:Gränsö Slott\, Västervik\, Gränsö Slott\, Västervik\, Västervik\, Sweden
CATEGORIES:Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20190905T000000
DTEND;TZID=+01:00:20190905T235959
DTSTAMP:20260602T144642
CREATED:20191112T103640Z
LAST-MODIFIED:20260601T083917Z
UID:10000341-1567641600-1567727999@wasp-sweden.org
SUMMARY:WASP International Scientific Advisory Board Meeting
DESCRIPTION:By invitation only. The annual WASP ISAB meeting.
URL:https://wasp-sweden.org/event/wasp-international-scientific-advisory-board-meeting/
LOCATION:Stockholm\, Stockholm\, Stockholm\, Sweden
CATEGORIES:Meeting
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20190903T000000
DTEND;TZID=+01:00:20190903T235959
DTSTAMP:20260602T144642
CREATED:20190708T152028Z
LAST-MODIFIED:20260601T083919Z
UID:10000346-1567468800-1567555199@wasp-sweden.org
SUMMARY:WARA-PS Preparation workshop
DESCRIPTION:By invitation only \nThe WARA-PS Core team and WASP PhD students integrates\, tests and collect data for research and preparation for the September demonstration two weeks later. During these days autonomous boats\, drones and sensors will be tested together with cloud based services for delegation and command and control systems.
URL:https://wasp-sweden.org/event/wara-ps-preparation-workshop/
LOCATION:Gränsö Slott\, Västervik\, Gränsö Slott\, Västervik\, Västervik\, Sweden
CATEGORIES:Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20190614T000000
DTEND;TZID=+01:00:20190614T235959
DTSTAMP:20260602T144642
CREATED:20191112T103938Z
LAST-MODIFIED:20260601T083917Z
UID:10000340-1560470400-1560556799@wasp-sweden.org
SUMMARY:On Motion Planning Using Numerical Optimal Control
DESCRIPTION:Defense by Kristoffer Bergman\nFor: Licentiate in automatic control\nTitle: On Motion Planning Using Numerical Optimal Control\nDate and Time: 2019-06-14\nLocation: Ada Lovelace\, B-building\, Linköpings University\nOpponent: Assoc. Prof. Paolo Falcone\, Chalmers\nSupervisor: Assoc. Prof. Daniel Axehill\nCo-supervisors: Prof. Torkel Glad \nOriginal location: Ada Lovelace\, B-building\, Linköpings University
URL:https://wasp-sweden.org/event/on-motion-planning-using-numerical-optimal-control/
LOCATION:Ada Lovelace\, B-building\, Campus Valla\, Linköping University\, Ada Lovelace\, B-building\, Campus Valla\, Linköping University\, Linköping\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20190605T100000
DTEND;TZID=+01:00:20190605T235900
DTSTAMP:20260602T144642
CREATED:20190531T082636Z
LAST-MODIFIED:20260601T083919Z
UID:10000347-1559728800-1559779140@wasp-sweden.org
SUMMARY:Tactical decision-making for autonomous driving: A reinforcement learning approach
DESCRIPTION:Defense by Carl-Johan Hoel\nFor: Licentiate of Engineering in Adaptive systems\nLocation: Lecture hall FB\, Fysikgården 4\, Chalmers University of Technology\, Göteborg \nDiscussion leader: Associate Professor Christos Dimitrakakis\, Department of Computer Science and Engineering\, Chalmers.\nSupervisors: Associate Professor Krister Wolff (Chalmers)\, Adjunct Professor Leo Laine (AB Volvo).\nExaminer: Professor Mattias Wahde \nThe tactical decision-making task of an autonomous vehicle is challenging\, due to the diversity of the environments the vehicle operates in\, the uncertainty in the sensor information\, and the complex interaction with other road users. This thesis introduces and compares three general approaches\, based on reinforcement learning\, to creating a tactical decision-making agent. The first method uses a genetic algorithm to automatically generate a rule based decision-making agent\, whereas the second method is based on a Deep QNetwork agent. The third method combines the concepts of planning and learning\, in the form of Monte Carlo tree search and deep reinforcement learning. The three approaches are applied to several highway driving cases in a simulated environment and outperform a commonly used baseline model by taking decisions that allow the vehicle to navigate 5% to 10% faster through dense traffic. However\, the main advantage of the methods is their generality\, which is indicated by applying them to conceptually different driving cases. Furthermore\, this thesis introduces a novel way of applying a convolutional neural network architecture to a high level state description of interchangeable objects\, which speeds up the learning process and eliminates all collisions in the test cases. \nOriginal location: Chalmers University of Technology\, Göteborg
URL:https://wasp-sweden.org/event/tactical-decision-making-for-autonomous-driving-a-reinforcement-learning-approach/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
CATEGORIES:Defense
END:VEVENT
END:VCALENDAR