Las Vegas Time: 7:00 am - 11:00 a.m.; India Time: 8:30 p.m. to 12:30 a.m; Spain Time: 4:00 p.m. to 8:00 p.m.
The 1st Workshop on Intelligent Transportation Systems, Intelligent Vehicles and Advanced Driver Assistant Systems for Unstructured Environments will be held on November 6, 2020 as part of the Workshops at IEEE Intelligent Vehicle Symposium (IV) , 2020
We are very pleased to announce that Prof. Mohan M. Trivedi, Distinguished Professor ECE, and Director CVRR and LISA Labs, University of California, San Diego, USA, will deliver the Keynote Address.
We are very pleased to announce the following the invited speakers for the invited talks at our workshop.
Professor, CSE, and and Founder, ASSISTECH Lab, Indian Institute of Technology, Delhi, India
Prof. Miguel A. Sotelo
General Manager (CEO) and Professor of the Computer Engineering Department, University of Alcalá, Spain
Prof. Santanu Chaudhury
Director and Professor, CSE, Indian Institute of Technology, Jodhpur and Professor, EE, Indian Institute of Technology, Delhi, India
Mr. Anoop G. Prabhu
Co-Founder and C.T.O at Vehant Technologies, New Delhi, India
The workshop will be streamed using Zoom
https://zoom.us/j/99940248616?pwd=S3FCU085YXJRWTVVNm1NTTVVNUpmZz09
Research interest in intelligent vehicles and intelligent transportation systems has seen a significant rise globally in the near past in both academia and industry. Various solutions to Intelligent Vehicles (IV) and Intelligent Transportation Systems (ITS) problems have been suggested and deployed in real world scenarios. These solutions are for well-structured environments that include roads with well-defined lane and road surface markings, traffic signs and lights, and well-followed traffic rules. However, these solutions may face challenges in unstructured and chaotic driving environments present in developing nations such as India. In unstructured and chaotic driving environments, the road and traffic conditions, presence of large number of non-standard vehicles such as auto-rickshaws and cycle-rickshaws, the presence of a large number of pedestrians on the road due to absence of sidewalks, etc., render the currently available IV and ITS solutions insufficient. In this scenario, the pedestrians and cyclists are highly vulnerable. Moreover, the conditions of road and road markings, large number of vehicles, various types of vehicles and environmental conditions make it difficult to seamlessly adapt existing Advanced Driver Assistant Systems (ADAS) and autonomous vehicles in unstructured environments. These challenges also affect the drivers and their behavior and therefore, driver monitoring in these scenarios also pose novel research problems. Moreover, in such unstructured environments, traffic is generally very high and chaotic, requiring intelligent traffic management. Inteligent Transportation also involves optimal scheduling, routing and traffic management across various modes such as Road, Railways, Air, and Sea. These form complex networks and require highly complex computational algorithms dealing with real-time data to ensure highly accurate and time bound performance. It is the time to address these challenges to bring safety and autonomy in vehicles, transport and traffic infrastructure, in complex, unstructured environments. Further extension of this research area can also lead to advancement in assistive mobility solutions that are either not currently available or not adaptable to overcome the challenges present in the unstructured environment. The aim of the workshop is to engage with the research community to explore and find novel solutions or adapt existing solutions to the problems in the areas of Intelligent Transportation systems, Intelligent vehicles and Advanced Driver Assistance Systems in chaotic and unstructured environments. The workshop will also be a platform to share with the research community the ongoing research efforts in these areas. Moreover, the workshop will also be a good platform to discuss approaches to gather and share large amounts of annotated, real, high quality data of the varied unstructured environments.
Prof. Mohan M. Trivedi is a Distinguished Professor of Electrical and Computer Engineering and founding director of the Computer Vision and Robotics Research Laboratory, as well as the Laboratory for Intelligent and Safe Automobiles (LISA) at the University of California San Diego. Mohan Trivedi received his PhD in Electrical Engineering from Utah State University in 1979, after completing undergraduate work in India. He has published extensively and has edited over a dozen volumes including books, special issues, video presentations, and conference proceedings.
He and his team are pursuing research in intelligent vehicles, autonomous/self-driving, machine perception, machine learning, human-robot interactivity, advanced driver assistance, active safety and intelligent transportation systems.
He has published over 500 archival papers, has won over 20 “Best/Finalist” Paper award, has received the IEEE ITS Society’s Outstanding Research Award and LEAD Institution Award as well as the Meritorious Service and Pioneer Award (Technical Activities) of the IEEE Computer Society. He has given over 100 keynote/plenary talks and he regularly serves on panels dealing with technological, strategic, privacy, and ethical issues surrounding research areas he is involved in. Trivedi is a recipient of the Pioneer Award and the Meritorious Service Award from the IEEE Computer Society; and the Distinguished Alumnus Award from BITS Pilani and Utah State University. He is a Fellow of IEEE, IAPR and the International Society for Optical Engineering (SPIE). He is a founding member of the Executive Committee of the UC System-wide Digital Media Innovation Program (DiMI).
He has served as the Robotics TC Chair for the IEEE Computer Society, on the Governing Boards of the IEEE SMC and ITSC Society, Editor-in-Chief of the Machine Vision Applications journal and charter member of the University of California System wide Digital Media Innovation (UC Discovery) program. He serves regularly as a consultant to industry and government agencies in the USA and abroad.
Prof. M. Balakrishnan is a Professor at the Department of Computer Science & Engineering, IIT Delhi and the founder of the ASSITECH Lab. He has been a recipient of three National awards, ACM Eugene L Lawler award and very recently IIT Delhi's Life Time award for his work in the disability space. He is a pioneer in the development of assistive devices for the visually impaired, having established a research group on Embedded Assistive Technologies for the Disabled (ASSISTech). His vision is to see India become a hub for innovative technological product development; with a view to making a difference to those who are differently abled.
He obtained his B.E.(Hons.) in Electronics & Electrical Engg. from BITS Pilani in 1977 and Ph.D. from EE Dept. IIT Delhi in 1985. He worked as a Scientist in CARE, IIT Delhi from 1977 to 1985 where he was involved in designing and implementing real-time DSP systems. For the last 32 years, he is involved in teaching and research in the areas of digital systems design, electronic design automation and embedded systems. He has supervised 12 Ph.D. students, 3 MSR students, 173 M.Tech/B.Tech projects and published nearly 110 conference and journal papers. Further, he has held visiting positions in University of Guelph (Canada), University of Syracuse (USA), University of Kiel (Germany) and University of Dortmund (Germany).
At IIT Delhi, he has been the Philips Chair Professor, Head of the Department of Computer Science & Engineering (2002-2005), Dean of Post Graduate Studies & Research (2006-2009), Deputy Director (Faculty) (2009-2012) and Deputy Director (Strategy & Planning). Further, at IIT Delhi, he has initiated a number of programmes/activities to promote research, start-ups as well as outreach to the community. ASSISTECH, a laboratory and research group founded by him along with Prof. P.V.M. Rao (Mech Engg), is involved in developing a number of assistive devices targeted towards mobility and education of the visually impaired. SmartCaneTM is a mobility aid for visually impaired developed by his group which is currently used by thousands of users in India and other low-income countries.
He has been on the board of several companies and active in ACM and VLSI Society of India. More recently the focus of his work has been in development of affordable assistive devices for visually impaired. He is involved in a number of projects that can enhance safe mobility as well as assist in education. In the year 2010, Balakrishnan was awarded the Golden Jubilee Mentor Award by IIT Delhi Golden Jubilee Committee after being nominated by his ex-students from across the globe. His achievements also include Vasvik Award in 2005 for industrially relevant research.
Prof. Miguel Ángel Sotelo is a Full Professor at the Computer Engineering Department and currently, also the General Manager (CEO) of the University of Alcalá. He received the Dr. Eng. 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 (UAH), Alcalá de Henares, Madrid, Spain, and the Master degree in Business Administration (MBA) from the European Business School in 2008.
His research interests include Driverless Vehicles, Cooperative ITS Systems, and Traffic Technologies. He was the Head of the INVETT Research Group (2012-2019) of the University of Alcalá, Director General of Guadalab Science & Technology Park (2011-2012) and Head of the RobeSafe Research Group (2006-2010). In May-June 2010 he was Dean of the Technical School of UAH and Vice-dean of the same School in the period 2004-2010. He was Vice-President for International Relations at UAH (2014-2019). Currently, he is the General Manager (CEO) of the University of Alcalá.
He is the author of more than 220 refereed papers in journals and international conferences, and corresponding author of 15 national patents and 1 PCT patent. He has been recipient of the Prize for the Best Team with Full Automation of GCDC 2016, the 2013 ITSS Outstanding Application Award, the 2010 Outstanding Service Award of the IEEE ITS Society, Best Research Award in the domain of Automotive and Vehicle Applications in Spain, 2002 and 2008, the 3M Innovation Awards in the category of eSafety in 2003, 2004 and 2009, and the Best Young Researcher Award of the University of Alcalá in 2004. He is Member of the IEEE ITS Society Executive Committee, and Member of the Steering Committee of IEEE Transactions on Intelligent Vehicles. He has been a member of the IEEE ITS Society Board of Governors (2012-2014), Editor-in-Chief of IEEE Intelligent Transportation Systems Magazine, (2014-2017) Associate Editor of IEEE Transactions on Intelligent Transportation Systems (2008-2015), member of the Editorial Board of The Open Transportation Journal (2006-2015), President of the Spanish Chapter of IEEE ITS Society (2015-2016), and Editor-in-Chief of IEEE Intelligent Transportation Systems Society Newsletter (Jan 2013 – Jan 2014). He served as General Chair of the 2012 IEEE Intelligent Vehicles Symposium, as well as Program Chair and member of Program/Organizing Committees in more than 30 international conferences. He has been the President of the IEEE Intelligent Transportation Systems Society (2018-2019).
In 1997 he was Research Visitor at the RSISE department of the Australian National University. From 2004–2010 he served as Auditor and Expert at FITSA Foundation for RTD Projects in the domain of automotive applications. He has served as Project Evaluator, Rapporteur, and Project Reviewer for the European Commission in the field of ICT for Intelligent Vehicles and Cooperative Systems in the VI and VII Framework Programmes. In the period 2009-2015, he was CEO of Vision Safety Technologies Ltd, a spin-off company established to commercialize computer vision systems for road infrastructure inspection. He is an IEEE Fellow.
Prof. Santanu Chaudhury is a Professor in the Department of Electrical Engineering at the Indian Institute of Technology, Delhi. He is currently the Director of the Indian Institute of Technology, Jodhpur. He was also the Director of CSIR-CEERI, Pilani, during 2016-18. He is a recipient of the Distinguished Alumnus award from IIT Kharagpur, from where he received his PhD in Computer Science and Engineering and a B.Tech in Electronics and Electrical Communication Engineering.
He has held various positions including, Dhananjay Chair Professor, Schlumberger Chair Professor and Dean, Undergraduate Studies at IIT Delhi. He is a fellow of Indian National Academy of Engineering and National Academy of Sciences, India. He was awarded the ACCS-CDAC award for overall scientific contributions in 2012 and the INSA medal for Young Scientists in 1993. He is the author of more than 300 publications in peer reviewed journals and conference proceedings, 15 patents and 4 books. His research interests are in the areas of Computer Vision, Artificial Intelligence and Multimedia Systems.
Anoop G Prabhu is the Co-founder and Chief Technology Officer (CTO), Vehant Technologies. He is responsible for aligning the company’s technical competence with the emerging trends and futuristic technologies. He was also the co-founder of the companies Kritikal Solutions and Kritikal SecureScan. He holds a B.Tech and M.Tech degree in Computer Science and Engineering from Indian Institute of Technology, Delhi.
As the co-founder, he has led Vehant Technologies to become a pioneer in providing computer vision and machine learning based state of the art solutions for Intelligent Transportation Systems, Security and Surveillance. These solutions are designed, developed and manufactured in India and Europe to meet global standards, features and quality.
The list includes all topics of interest but not limited to these:
Intelligent Vehicles for unstructured environments
Road scene understanding in unstructured environments
Semantic labeling, object detection and recognition in complex road scenes
Driver Activity Monitoring Systems for drivers in chaotic environments
Design and development of robust and real-time systems for IV and ITS in unstructured driving conditions
Use of emerging sensors (e.g., multispectral, RGB-D, LIDAR and LADAR) and sensor fusion for IV and ITS in unstructured environments
Safety applications for vulerable road users in complex and unstructured driving environments
Datasets and Evaluation Procedures for complex and unstructured driving environments
Real-world driving datasets for unstructured environments
Advanced Driver Assistance Systems in Unstructured Environment with presence of:
novel vehicle classes
unmarked, or incomplete or disoriented road signs
high density traffic
harsh environmental conditions
unpredictable behavior of traffic agents (pedestrians, cyclists, vehicles, etc.)
Large intra-class variations in appearance of vehicles
safety of passengers
Autonomous driving
Intelligent Transportation Systems
Intelligent Traffic management
Railways, Air transportation and Sea transportation with highly complex traffic
scheduling
real-time decision making
reducing accidents caused by environmental challenges
Assistive mobility in Unstructured Environments
Applications for the Visually Impaired
Applications for the Ageing Society
Applications for hearing impaired
In case of any queries, please write to the workshop organizers at: itsivue2020@gmail.com
Date: November 6, 2020
Time: 07:00 AM - 11:00 AM (Las Vegas Time)
Duration: Half-day
Venue: Virtual Mode
Prospective authors are required to submit their manuscripts electronically as a single PDF file online via PaperCept using the workshop code at the following link: https://its.papercept.net/conferences/scripts/start.pl
Submitted papers shall not exceed six pages (two additional pages allowed with a fee) as a PDF file in IEEE two column format.
All accepted and presented papers will be published by the IEEE and the conference proceedings will be submitted to the IEEE Xplore digital library