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Beyond supervised Deep Learning for Autonomous Driving.

1 marzo, 2023 @ 16:00 - 18:00

PONENTE Dr. Luis Miguel Bergasa Pascual
AFILIACIÓN Universidad de Alcalá de Henares
RESUMEN Autonomous driving is one of the most exciting engineering fields of our era. The benefits that self-driving cars will have in our society are still unmeasurable, while the associated goals are also growing increasingly complex and challenging. In recent years, fully supervised Deep Learning (DL) algorithms have seen an unprecedented boom in this field and are progressively being introduced into autonomous vehicle navigation architectures. However, compared to classical methods, supervised DL-based techniques face scalability issues as they require huge amounts of labeled data and are unable to generalize to multiple domains. These issues represent a great barrier for the practical application of DL techniques in this field. In this talk, we will revise the DL developments made by our Research Lab for our Autonomous Vehicle prototype surrounding alternatives to fully supervised learning in the DL context (synthetic data, transfer learning, reinforcement learning, etc.). In addition, we will present our thoughts on the future of research in this field with the purpose of solving the challenging remaining problems.
BIO Luis M. Bergasa received the MS degree in Electrical Engineering in 1995 from the Technical University of Madrid and the PhD degree in Electrical Engineering in 1999 from the University of Alcalá (UAH), Spain. He is Full Professor at the Department of Electronics of the UAH since 2011. From 2000 he had different research and teaching positions at the UAH. He was Head of the Department of Electronics (2004-2010), coordinator of the Doctorate program in Electronics (2005-2010) and Director of Knowledge Transfer at the UAH (2014-2018). He is author of more than 280 refereed papers in journals and international conferences. He was recognized as one of the most productive researcher in Intelligent Transportation Systems (ITS) field during the period 1996-2014, and as a Distinguished Lecturer of the IEEE Vehicular Technology Society (2019-2021). He received the Institutional Lead Award 2019 from the IEEE ITS Society for the longstanding work of his research group. His research activity has been awarded/recognized with 28 prizes/recognitions related to Robotics and Automotive fields from 2004 to nowadays.  He is Associate Editor of the IEEE Transactions on ITS and habitual reviewer in several journals included in the JCR index. He was Guest Editor of two Special Issues (Sensors and IEEE T ITS), member of the Editorial Board of International Journal of Vehicular Technology (2012-2017) and he have served on Program/Organizing Committees in more than 20 conferences. He was Research Visitor at the Computer Vision Research Group of the Trinity College in Dublin (Irland) in 1998, Visiting Scholar at the Toyota Technological Institute at Chicago (USA) in 2013, and at the OPTIMAL Center Northwestern Polytechnic University (China) in 2017. He was co-founder of Vision Safety Technologies Ltd, a spin-off company established to commercialize computer vision systems for road infrastructure inspection (2009-2016). His research interests include driver behaviors and scene understanding using Computer Vision and Deep Learning Techniques for autonomous vehicles applications.

 

Detalles

Fecha:
1 marzo, 2023
Hora:
16:00 - 18:00
Categoría del Evento:

Local

Salón de grados del Departamental 2
Campus de Móstoles de la URJC
Móstoles, Madrid 28933 España
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