Workshop and Tutorials

The IV2020 offers the opportunity for participation in several workshops and tutorials, which cover a specific topic of interest in the ITS area. They aim to foster discussion on issues related to the field, emphasizing the interaction between the presenter and the audience. Each workshop/tutorial will have a number of paper presentations and/or invited talks without paper submission.

Note that you need to register to the workshops. This is done at the registration site. You can register for both the IV2020 conference and workshop, or for a workshop only. Lunch and coffee break(s) are included in all workshops.

The following workshops and tutorials will be held in conjunction to the IV2020 on Tuesday June 23, 2020 Tuesday October 20, 2020, in Las Vegas, United States.


Dr.-Ing. Ahmed Hussein
IAV GmbH, Germany

Dr. Chunzhao Guo
Toyota Research Institute, USA


Oct 20, 2020
IV2020 Workshops & Tutorials

Workshops Call-for-papers

All workshops invites contributions. Please, see call for papers at each individual workshop. The workshop papers are reviewed under the same procedure as the symposium papers and they will also be published in the proceeding together with the conference papers.

Each workshop is like a small individual conference, they have individual organizers and the set up will be different for each one. They target sub-topics of the symposium topics, however, how narrow and deep they are varies between them, please, see their individual web pages for more information, and to decide to which workshop your submission fits best.

While preparing your manuscript, please follow the formatting guidelines here.

All presented papers will be published by the IEEE and the conference proceedings will be submitted to the IEEE Xplore digital library, as long they follow the same review process of IEEE IV 2020, so that each paper will undergo a peer-reviewing process by at least two members of the International Program Committee. Contributions will be reviewed according to relevance, originality and novel ideas, technical soundness and quality of presentation.


Internet of Things in Intelligent Transportation Systems: Opportunities and ChallengesZiran Wang, Guoyuan Wu, Lingxi Li, Dongpu Cao, Li Li847g1
Ensuring and Validating Safety for Automated VehiclesTorben Stolte, Ignacio Alvarez, Krzysztof Czarnecki, Maria Soledad Elli, J Christian Gerdes, Denis Gingras, Jia Hu, Jeffrey Johnson, Mykel Kochenderfer, Arnaud de La Fortelle, Marcus Nolte, Christoph Stiller, Martin Törngren, Jack Weast, Hermann Winner, Markus Maurerut718
Human Factors in Intelligent VehiclesCristina Olaverri-Monreal, Fernando Garciabab3x
Unsupervised Learning for Automated Driving (ULAD)Julian Francisco Pieter Kooij, Fabian Flohriv2yp
Impact of Chassis Systems Control on Autonomous DrivingMoad Kissai, Bruno Monsuez, Adriana TAPUS, Vicente Milanéshi753
Multi-modal Cooperative Connected Autonomous Vehicles: All for One, One for AllAbdulla Al-Kaff, Omar M. Shehata, Arturo de la Escalera, Qinggang Meng, David Martin Gomez82cw1
Online Map Validation and Road Model CreationLuca Parolini, Sebastian Schneider, Qing Rao, Jenny YUANhr9k9
Data Driven Intelligent Vehicle Applications (DDIVA)Alois Knoll, Emec Ercelik, ESRA ICER, Neslihan Kose, Burcu Karadeniz, Sina Shafaei, Christoph Segler, Julian Tatschm276i
Intelligent Transportation Systems, Intelligent Vehicles and Advanced Driver Assistant Systems for Unstructured EnvironmentsAyesha Choudhary, S. Indu88c77
BROAD: Where to from here? Upcoming Technical and Non-Technical Challenges for Autonomous DrivingTim Tiedemanny82p2
Naturalistic Driving Data Analytics (NDDA)Pujitha Gunaratne552q8
3D-Deep Learning for Autonomous DrivingSenthil Yogamani, Kiran RAVI, Victor Vaquero, Sumanth Chennupati, Patrick Perez, Bharanidhar Duraisamy, Dan Levi, Felix Friedmann, Lars Kunze, Markus Enzweiler, Ahmad El Sallab, Ravishankar Sivalingam, Stefan Milz, Abhinav Valadau76t4
Anomaly handling for self-driving carsAlireza Nakhaei, Takatsugu Hirayama, Naoki Akai, Teruhisa Misubpiy7
The future of in-cabin human-sensing in intelligent mobility: challenges and opportunities (HSIM)Udara Manawadu, Mitsuhiro Kamezaki, Shunsuke Kogure, Pujitha Gunaratne3x7d2
Behavior Generation and Decision Making for Socially Compatible Autonomous VehiclesLiting Sun, Wei Zhan, Masayoshi Tomizuka37tdg
Naturalistic Road User Data and its Applications for Automated DrivingJulian Bock, Adrian Zlocki, Robert Krajewski, Lutz Eckstein4rxb4
Benchmarking Probabilistic Behavior Prediction in Highly Interactive Driving ScenariosWei Zhan, Liting Sun, Jiachen Li, Maximilian Naumann, Masayoshi Tomizuka2upm6


Multi-Sensor Fusion and Extended Object TrackingKarl Granstrom, Marcus Baum, Jens Honert89n2
Autoware -­ Open Source for Autonomous DrivingJan Becker, Ignacio Alvarez, Shinpei Kato, Daniel Watzenigc9i52
Deep Learning for Vehicle Perception at ScaleJosé M. Alvarez, Elmar Haussmann, Nicolas Koumchatzky, Clement Farabeth6wh2