Invitation to the IEA/AIE-2023 Conference In China – submission deadline extended Dear Dr. Kreinovich, The paper submission deadline for I
|
January 31st, 2023
Daniela Lopez de Luise Invitation to the IEA/AIE-2023 Conference In China – submission deadline extended Dear Dr. Kreinovich, The paper submission deadline for I
|
January 31st, 2023
Daniela Lopez de Luise ****************************************************************************************************
36th IEEE International Symposium on Computer Based Medical Systems
L’Aquila, Italy, 22-24 June 2023
https://2023.cbms-conference.org/
January 31st, 2023
Daniela Lopez de Luise We are excited to announce the ICRA2023 Autonomous Drone Racing Competition. The competition will showcase the latest advancements in autonomous drone technology, and we invite you to participate. The task is to develop an autonomous algorithm that can fly a drone through a sequence of gates in minimum time. This is a great opportunity for researchers, engineers, and students to showcase their skills and network with other experts in the field. Register your team now, and let's fly to the future of autonomous drones!
**Detailed description**
The competition will have two challenges: i) state-based drone racing and ii) vision-based drone racing. The state-based challenge aims at benchmarking algorithms for planning and control from the aspect of time-optimal flight and robustness against unknown effects, such as aerodynamics. The vision-based challenge evaluates the entire system, particularly the perception. Building upon the state-based challenge, the vision-based system should be additionally robust against visual distractors, such as illumination and color changes. We will also provide an easy-to-use API to control the drone to lower the entry barrier. We will allow the participants to concentrate exclusively on the racing problem by abstracting away all the complexity of agile drone control. The competition will be hosted on our in-house simulator “Flightmare.” We believe this competition is a great opportunity for researchers, engineers, and students to showcase their skills and developments in the field of autonomous drone technology. It will also be a great platform for participants to network and collaborate with other experts in the field. The registration for the competition is now open, and we encourage you to register your team as soon as possible.
**Dates**
– Preregister now to get all new updates
– Submission deadline: 20th May 2023 (AOE).
For more information about the competition, please visit the competition website. We look forward to welcoming you to the competition and to an exciting future of autonomous drone technology.
Yunlong Song, Leonard Bauersfeld, Angel Romero, Davide Scaramuzza
January 31st, 2023
Daniela Lopez de Luise Date of event: 21-22 September 2023
Location: Fraunhofer IMTE, Mönkhofer Weg 239a, Lübeck, Germany
Paper submission deadline: 1 June 2023
Website: https://iwoar.org/2023/
Paper submission link: https://easychair.org/my/conference?conf=iwoar2023
The iWOAR is an international workshop with conference character, which is organised by the Technische Hochschule Lübeck, the University of Lübeck and Fraunhofer IMTE. This year's workshop will be held in Lübeck (Germany) between September 21-22, 2023. The workshop focuses on Human Activity Recognition and Artificial Intelligence with wearable sensors and related technologies. This year’s symposium will feature as keynote speaker the presence of Prof. Dr. Björn Eskofier, head of the Machine Learning and Data Analytics at the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) (Germany), and prominent name in the field of medical wearable computing.
All scientific submissions undergo a peer review process to ensure that high quality content is being presented. We invite submissions which target (but are not limited to) the following topics and applications:
Human Activity Recognition
Human Centred Artificial Intelligence
Human Centred Machine Learning
Human Data Imputation / Augmentation / Representation / Classification
Human Behaviour Intention Recognition
Quantified Self
Affective Computing
Context Awareness
Human Computer Interaction
Intelligent User Interfaces
Pervasive & Wearable Computing
Cyber Physical & Human Systems
Assistive Technologies
Ambient Assisted Living
Active & Healthy Ageing
Personalised Diagnostics and Therapy
Telemedicine and Biotechnology
Occupational Safety, Healthcare and Wellness
Industry 4.0
Smart Cities & Urban Environments
Digital Health
We invite for academic research papers and for best-practice industrial research approaches. The submission deadline is set to June 1, 2023. All submissions must follow the ACM SIGCHI Paper Format and are handled via EasyChair (paper submission link: https://easychair.org/my/conference?conf=iwoar2023).
Accepted submissions will be published in the iWOAR 2023 Proceedings online in the ACM Digital Library.
Selected excellent papers will be invited to submit an extended version of their workshop submission for a special issue in the MDPI Sensors Open Access Journal.
MDPI offers a discount on the publication processing fee of 10% for iWOAR participants. In addition to this, authors from IOAP institutes will receive an extra discount (http://www.mdpi.com/about/ioap).
For any query, please contact fr.li@uni-luebeck.de.
Best regards,
Dr.-Ing. Frédéric Li
Publicity Chair iWOAR 2023
January 31st, 2023
Daniela Lopez de Luise