New York Professional Events List

VEHITS 2021 - 4th International Conference on Vehicle Technology Intelligen..

Mar 18, 2021 - 08:00 AM - Mar 19, 08:00 AM
New York Media Technologies LLC in association with INSTICC
Hotel Vila Galé Santa CruzRua São Fernando, 59100-173 Santa CruzPortugal,

ZIP: Portugal


VEHITS 2021 will be held in conjunction with SMARTGREENS 2021.

Registration to VEHITS allows free access to the SMARTGREENS conference (as a non-speaker).


Regular Paper Submission: October 16, 2021 
Regular Paper Authors Notification: December 15, 2021 
Regular Paper Camera Ready and Registration: January 4, 2021 
The purpose of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS) is to bring together engineers, researchers and practitioners interested in the advances and applications in the field of Vehicle Technology and Intelligent Transport Systems.
This conference focuses on innovative applications, tools and platforms in all technology areas such as signal processing, wireless communications, informatics and electronics, related to different kinds of vehicles, including cars, off-road vehicles, trains, ships, underwater vehicles, or flying machines, and the intelligent transportation systems that connect and manage large numbers of vehicles, not only in the context of smart cities but in many other application domains.




1 . Intelligent Vehicle Technologies 
2 . Intelligent Transport Systems and Infrastructure 
3 . Connected Vehicles 
4 . Sustainable Transport 
5 . Data Analtyics 



Oleg Gusikhin, Ford Motor Company, United States



Markus Helfert, Dublin City University, Ireland



Chair: Joe Gibbs
Industrial Track on Urban Mobility
Industrial Track on Vehicle Security
Industrial Track on Modelling
Industrial Track on Safety
Industrial Track on Business Models
Submission: October 16, 2021




Miguel A. Sotelo, Universidad de Alcalá, Spain


Important Dates


Regular Papers
Paper Submission: October 16, 2021 
Authors Notification: December 15, 2021 
Camera Ready and Registration: January 4, 2021

Position Papers
Paper Submission: November 22, 2021 
Authors Notification: January 11, 2021 
Camera Ready and Registration: January 24, 2021

Workshop Proposal: October 31, 2021

Doctoral Consortium
Paper Submission: January 15, 2021
Authors Notification: January 26, 2021
Camera Ready and Registration: February 7, 2021

Special Sessions
Special Session Proposal: October 31, 2021

Tutorial Proposal: January 30, 2021

Industrial Panels
Paper Submission: October 16, 2021
Authors Notification: December 15, 2021
Camera Ready and Registration: January 4, 2021

Demo Proposal: January 30, 2021

Panel Proposal: January 30, 2021

Open Communications
Paper Submission: January 15, 2021
Authors Notification: January 26, 2021
Camera Ready and Registration: February 7, 2021


Keynote Lecture


Miguel A. Sotelo 
Universidad de Alcalá 

Brief Bio

Miguel Ángel Sotelo received the degree in Electrical Engineering in 1996 from the Technical University of Madrid, the Ph.D. degree in Electrical Engineering in 2001 from the University of Alcalá (Alcalá de Henares, Madrid), Spain, and the Master in Business Administration (MBA) from the European Business School in 2008. From 1993 to 1994, he held an Excellence Research Grant at the University of Alcalá, where he is currently a Full Professor at the Department of Computer Engineering and Vice-president for International Relations. In 1997, he was a Research Visitor at the RSISE of the Australian National University in Canberra. His research interests include Self-driving cars, Cooperative Systems, and Traffic Technologies. He is author of more than 200 publications in journals, conferences, and book chapters. He has been recipient of the Best Research Award in the domain of Automotive and Vehicle Applications in Spain in 2002 and 2009, and the 3M Foundation Awards in the category of eSafety in 2004 and 2009. He served as Auditor and Expert at FITSA Foundation for RTD Projects in the domain of automotive applications in 2004-2010. Miguel Ángel Sotelo has served as Project Evaluator, Rapporteur, and Reviewer for the European Commission in the field of ICT for Intelligent Vehicles and Cooperative Systems in FP6 and FP7. He was Director General of Guadalab Science & Technology Park (2011-2012) and co-founder and CEO of Vision Safety Technologies (2009-2021), a spin-off company established in 2009 to commercialize computer vision systems for road infrastructure inspection. He is member of the IEEE ITSS Board of Governors and Executive Committee. Miguel Ángel Sotelo served as Editor-in-Chief of the Intelligent Transportation Systems Society Newsletter (2013), Editor-in-Chief of the IEEE Intelligent Transportation Systems Magazine (2021-2021), Associate Editor of IEEE Transactions on Intelligent Transportation Systems (2008-2021), member of the Steering Committee of the IEEE Transactions on Intelligent Vehicles (since 2021), and a member of the Editorial Board of The Open Transportation Journal (2006-2021). He has served as General Chair of the 2012 IEEE Intelligent Vehicles Symposium (IV’2012) that was held in Alcalá de Henares (Spain) in June 2012. He was recipient of the 2010 Outstanding Editorial Service Award for the IEEE Transactions on Intelligent Transportation Systems, the IEEE ITSS Outstanding Application Award in 2013, and the Prize to the Best Team with Full Automation in GCDC 2021. At present, he is President of the IEEE Intelligent Transportation Systems Society.


Driver Assistance Systems have achieved a high level of maturity in the latest years. As an example of that, sophisticated pedestrian protection systems are already available in a number of commercial vehicles from several OEMs. However, accurate pedestrian path prediction is needed in order to go a step further in terms of safety and reliability, since it can make the difference between effective and non-effective intervention. Getting to understand the underlying intent of an observed pedestrian is of paramount interest in a large variety of domains that involve some sort of collaborative and competitive scenarios, such as robotics, surveillance, human-machine interaction, and intelligent vehicles. In contrast to trajectory-based approaches, the consideration of the whole pedestrian body language has the potential to provide early indicators of the pedestrian intentions, much more powerful than those provided by the physical parameters of a trajectory. In this talk, we consider a hybrid approach in which Deep Learning techniques are used to robustly detect pedestrians’ body parts and pose together with a generative approach, based on GPDM (Gaussian Process with Dynamical Model), for accurate trajectory prediction in a time horizon of up to 1.0 s. The proposed system constitutes a further step in the state-of-the-art in the quest for advanced VRU protection systems.


Please contact the event manager Marilyn below for the following: 
- Discounts for registering 5 or more participants.
- If you company requires a price quotation.
Event Manager Contact: marilyn.b.turner(at)
You can also contact us if you require a visa invitation letter, after ticket purchase. 
We can also provide a certificate of completion for this event if required.

This Event Listing is Promoted by
New York Media Technologies LLC in association
MYL170818CEV MAR170926UPT MYL171113UPR


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