Submission Deadline
March 15th, 2022
Submission through PaperPlaza
Submission code: 10101
Creation of validated road models both at runtime and offline, both from single vehicles as well as from a fleet of vehicles.
Life-cycle management of map data, i.e. initial creation, change detection, update, verification and deployment.
Mapping fraud detection and prevention, i.e. manipulation of traffic signs, fleet data spoofing.
Robust percetion systems able to work in any scenario and guaratee formal performance.
ROAD - The ROad event Awareness Dataset for autonomous Driving
Localization and Mapping Technology Under the Hood of World's First "Driver out" Fully Autonomous Semi-Truck
Methods for Map Validation for Autonomy Applications in the Real World
Submission Deadline
March 15th, 2022
Submission through PaperPlaza
Submission code: 10101
Notification Date April 10th, 2022
Camera-ready Deadline May 1st, 2021
Begin | End | Title | Speaker/Author | Type | |
---|---|---|---|---|---|
08:30 | - | Program Starts | |||
08:30 | - | 08:40 | Introduction by Organizers | Angelo Cenedese, Umar Zakir Abdul Hamid, Luca Parolini, Christopher Plachetka, Sebastian Schneider, Oliver Wasenmüller, Roberto G. Valenti, Jenny Yuan | |
08:50 | - | 09:20 | Localization and Mapping Technology Under the Hood of World's First "Driver out" Fully Autonomous Semi-Truck | Dr. Shiyu Song | Invited Talk |
09:20 | - | 09:30 | Q&A Session 1 | ||
09:30 | - | 10:00 | ROAD - The ROad event Awareness Dataset for autonomous Driving | Prof. Fabio Cuzzolin | Invited Talk |
10:00 | - | 10:10 | Q&A Session 2 | ||
10:30 | - | 10:55 | An Hybrid Approach to Improve the Performance of Encoder-Decoder Architectures for Traversability Analysis in Urban Environments | Daniel Fusaro, Emilio Olivastri, Daniele Evangelista, Pietro Iob, Alberto Pretto | Paper |
10:55 | - | 11:00 | Q&A Session 3 | ||
11:00 | - | 11:30 | Methods for Map Validation for Autonomy Applications in the Real World | Dr. Yousef Hindy | Invited Talk |
11:30 | - | 11:40 | Q&A Session 4 | ||
11:45 | - | 12:00 | Closing Remarks | Angelo Cenedese, Umar Zakir Abdul Hamid, Luca Parolini, Christopher Plachetka, Sebastian Schneider, Oliver Wasenmüller, Roberto G. Valenti, Jenny Yuan |
Angelo Cenedese received the M.Sc. and the Ph.D. degrees from the University of Padova, Italy, where he is currently an Associate Professor with the Department of Information Engineering. He is founder and leader of the SPARCS (SPace-Aerial-gRound Control Systems) research group. He has held several visiting positions at the UKAEA-JET laboratories in the Culham Research Centre (UK), the UCLA Vision Lab (CA-USA), the F4E European Agency (Spain). His research interests include system modeling, control theory and its applications, multiagent systems, and mobile robotics, including autonomous vehicle systems. On these subjects, he has published more than 150 papers and holds three patents.
A PhD holder, Umar has been working in the future mobility (connected and autonomous vehicle) field since 2014 with various teams in different countries and continents. Previously, he led a team of 12 engineers (of 10 different nationalities) working in the Autonomous Vehicle Software Product Development with Sensible 4, Finland. Umar is one of the recipients of the Finnish Engineering Award 2020 for his contributions to the development of all weather autonomous driving solutions with the said firm. With more than 30 scientific publications as author and editor under his belt, Umar actively participates in global automotive standardization efforts where he is a Secretary for a Society Automotive Engineers (SAE) Committee. Since the end of Summer 2021, Umar has been working as the Lead of Strategic Planning for CEVT AB in Sweden.
Luca Paroloni received the B.Sc. degree in information engineering and the M.Sc. degree in automation engineering from the University of Padova, Padova, Italy, in 2004 and 2006, respectively and the Ph.D. degree in electrical and computer engineering from Carnegie Mellon University, Pittsburgh, PA, in 2012. He is a specialist S/W developer at BMW AG, Munich, Germany, which he joined in 2016. His research interests include functional development for autonomous vehicles, with a special focus on map and localization problems, functional safety, and functional degradation.
Christopher Plachetka received his Master degree in 2017 from Technical University of Braunschweig, Germany, with a major focus on automotive systems and pattern recognition. In his master thesis, he focused on deep learning-based object detection and automatic labeling of datasets, which lead to the publication of the TUBS Road User Dataset during his time as scientific assistant in 2018. Since 2019, Christopher works at Volkswagen AG, Wolfsburg, Germany, as a PhD candidate. His research interests include deep learning-based deviation detection between sensor and map data, LiDAR-based object detection, and road model creation.
Sebastian Schneider received his Diploma degree in 2006 from Technical University of Darmstadt, Germany, with a major focus on computer vision and robotics. Since 2014, Sebastian works at BMW AG, Munich, Germany, as a sensor fusion expert in the area of driver assistance systems and autonomous driving. As such he has contributed to the design of the sensor setup as well as the sensor fusion architecture of upcoming level 4 autonomous vehicles. His current research interests include localization, map and road model validation and reinforcement learning.
Oliver Wasenmüller is full Professor at the Mannheim University for Applied Science. His research is in the intersection of Computer Vision and Artificial Intelligence with a focus on automotive. Previously he was a team leader for "machine vision and autonomous vehicles" at the German Research Center for Artificial Intelligence (DFKI). He is both speaker and reviewer in many scientific conferences in this field and co-organizes the ACM Computer Science in Cars Symposium (CSCS) as well as the IEEE CVPR workshop SAIAD.
Roberto G. Valenti is currently a Senior Research Scientist at MathWorks where he is responsible for autonomous driving, robotics, and deep learning. His research interests include sensing for navigation, sensor fusion, autonomous vehicles (self-driving cars, unnamed aerial vehicles), inertial navigation and orientation estimation, control, computer vision, and deep learning. Previously, he worked as a Research and Development Engineer within the Autonomous Driving team at Nvidia. He obtained a Ph.D. in Electrical Engineering at the City University of New York, The City College, NY, USA where he focused his research on state estimation and control for autonomous navigation of micro aerial vehicles. Dr. Valenti received his M.Sc. in Electronics Engineering from the University of Catania, Italy. He is a member of IEEE and RAS.
Jenny Yuan holds a master degree from Technical University of Munich in Germany. Her major research direction is related to deep-learning and image processing in the field of computer vision, such as object detection and classification.