The Second Workshop on Intelligent Transportation Systems, Intelligent Vehicles and Advanced Driver Assistant Systems for Unstructured Environments

11 July , 2021 ● IV 2021 ● Virtual Mode

Time: Japan: 8:30 p.m. on 11th July 2021 to 01:30 a.m.on 12th July 2021 (GMT+9 )

India: 5:00 pm. to 10:00 p.m. on 11th July 2021

Click here for Free Registration for the attending the workshop.

Workshop Zoom link

About the Workshop

The 2nd Workshop on Intelligent Transportation Systems, Intelligent Vehicles and Advanced Driver Assistant Systems for Unstructured Environments will be held in virtual mode on July 11, 2021 as part of the Workshops at IEEE Intelligent Vehicle Symposium (IV) , 2021 at Nagoya, Japan.

Past Workshop

The 1st Workshop on Intelligent Transportation Systems, Intelligent Vehicles and Advanced Driver Assistant Systems for Unstructured Environments (ITSIVUE2020) was held in virtual mode on November 6, 2020 as part of the Workshops at IEEE Intelligent Vehicle Symposium (IV) , 2020. The 1st workshop was successfully conducted with a Keynote talk, 4 invited talks and paper presentations with more than 60 participants.

Distinguished Invited Speakers

Prof. Eduardo Nebot

Patrick Chair in Automation and Logistics, School of Aerospace, Mechanical and Mechatronic Engineering, University of Sydney, and Director of the Australian Centre for Field Robotics, Australia

Prof. C. V. Jawahar

Dean, Research & Development, Head, Centre of Visual Information Technology (CVIT), International Institute of Information Technology Hyderabad, India.

Panel discussion on: "Current Status and Future Directions of ITS, IV, ADAS and Assistive Mobility in Unstructured Environments"


Distinguished Panelists

Prof. Mohan M. Trivedi

Distinguished Professor ECE, and Director CVRR and LISA Labs, University of California, San Diego, USA.

(Panel Moderator)

Prof. M. Balakrishnan

Professor, Computer Science and Engineering, and Founder, ASSISTECH Lab, Indian Institute of Technology, Delhi, India.

Prof. Miguel A. Sotelo

Professor, Computer Engineering Department, and General Manager (CEO), University of Alcalá, Spain.

Prof. K. Madhava Krishna

Professor and Head, Robotics Research Center and Kohli Center on Intelligent Systems,

International Institute of Information Technology, Hyderabad, India

Dr. Suchitra Sathyanarayna

ML Manager,

Amazon ML Solutions Lab (AWS) , USA

Dr. Anbumani Subramanian

Principal Engineer,

Intel, India.

Program Schedule

Scope of the Workshop

Intelligent Transportation Systems, intelligent vehicles and advanced driver assistant systems form a significant area of research in today’s world, both in academia and industry. Various solutions have been deployed by vehicle manufacturers and are instrumental in making driving safer and easier. These solutions work well under various assumptions, the primary being that the environment is well-structured, and stringent traffic rules are followed. It is expected that the roads include well-defined lanes, road surface markings, traffic signs and lights and well-defined traffic rules. However, in unstructured environments, where people, animals and vehicles are all present on the road simultaneously, where the lanes may not exist and traffic rules are not necessarily followed, the assumptions no longer hold. Therefore, in this case, the ITS, IV and ADAS solutions developed and deployed in well-structured environments are rendered insufficient.


Unstructured and chaotic driving environments pose many challenges. Conditions of the roads such as lack of lanes, high traffic of non-standard vehicles such as cycle-rickshaws and auto-rickshaws, presence of a large number of people on the road, animals on the road, potholes, etc., are some of the challenges. In such a scenario, it is difficult to seamlessly adapt the existing IV and ADAS solutions. However, these conditions offer new research opportunities for developing more robust and all-encompassing ITS, IV and ADAS solutions. Moreover, these novel solutions will also help advance the areas of assistive mobility and transportation. Driver behavior is highly affected by these driving conditions, and therefore, these conditions also pose novel problems in the area of driver monitoring.


Intelligent traffic management in such a scenario also poses novel challenges, not present in the well-structured environments. Optimal routing, scheduling and management of various modes of transportation such as Road, Railways, Air and Sea also form a part of intelligent transportation. These complex transportation networks require highly complex real-time computational algorithms to ensure time bound and accurate performance.


Assistive mobility gives dignity of life to the less abled, giving them the freedom to lead a normal life. Unstructured environments currently pose many challenges for assistive mobility solutions to be deployed easily. Therefore, not only is it important to address the challenges of complex unstructured environments for bringing safety and autonomy in vehicles, transport and traffic infrastructure, it is also necessary to adapt or find novel solutions in the areas of assistive mobility in unstructured environments.


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

Speaker Bio

Prof. Eduardo Nebot is a Professor at the University of Sydney in the School of Aerospace, Mechanical and Mechatronic Engineering. He has been appointed as the Patrick Chair of Automation and Logistics in 2004 and he is the Director of the Australian Centre for Field Robotics. Prof. Eduardo Nebot received the Bachelor's degree in Electrical Engineering from the Universidad Nacional del Sur, (Argentina) and MS and PhD degrees from Colorado State University, USA. Fellow of IEEE and FTSE.


Prof. Eduardo Nebot has a substantial track record in robotics and automation. He has published more than 300 refereed conference and journal papers and given a large number of keynotes and industrial presentations. The major impact of his fundamental research is in autonomous system, navigation, mining safety and Intelligent Transport Systems.

Over the past 15 years, he has managed a large number industrial collaboration research projects in the area of Field Robotics. His fundamental research contributions have a significant impact and are already part of new key autonomous technologies deployed in various industrial environments such as mining, stevedoring, cargo handling and urban road vehicles. He is currently leading various collaborative research projects in autonomous urban vehicles with University of Michigan, Ford Motor Company USA, Renault France and Transport for New South Wales (TNSW) among others. His research group has an active role in the development and demonstration of new innovative technology in the intelligent transport area involving smart vehicles.

Prof. C. V. Jawahar is the Dean of Research & Development and Head of Centre for Visual Information Technology (CVIT), Machine Learning (ML) Lab and Executive Education Group (EEG) at the International Institute of Information Technology, Hyderabad (IIITH), India. He leads the research group focusing on computer vision, machine learning and multimedia systems. He is also the CEO of the Centre for Innovation and Entrepreneurship (CIE-IIITH) at IIIT Hyderabad


An Amazon Chair Professor, Prof. Jawahar is also an elected Fellow of the Indian National Academy of Engineers (INAE) and the International Association of Pattern Recognition (IAPR). His prolific research is globally recognized in the Artificial Intelligence and Computer Vision research community with more than 50 publications in top tier conferences and journals in computer vision, robotics and document image processing to his credit with over 9000 citations.

Extremely conscious of the social and practical relevance and application of research, Prof. Jawahar is actively engaged with several government agencies, ministries and leading companies around innovating at scale through research.

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, Indian Institute of Technology, Delhi, India 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. K. Madhava Krishna is a Professor and Head of the Robotics Research Centre and the Kohli Center on Intelligent Systems at the International Institute of Information Technology, Hyderabad, India. He has nearly 20 years of experience in Robotics and Automation and has numerous publications in top international conferences and journals.

Prof. Krishna did hid B. E. and M. E. from the prestigious BITS Pilani and then went on to do a Ph. D. from IIT Kanpur. He also did two post-doctorates, first from Robotics and AI Labs LAAS-CNRS, Toulouse, FRANCE in 2001-2002 and another from University of Arkansas, USA.

At IIITH, his work focuses on research problems and innovative projects that extend the state of the art in robotics especially, in the areas of Mobile and Aerial Robotics, Robotic Vision, Mechanism Design and Multi Robotic Systems.

Dr. Suchitra Sathyanarayana is currently ML Manager, Amazon Machine Learning Solutions Lab (AWS) , USA. Prior to joining Amazon ML Labs, she was the Director R&D at NAUTO.

Dr. Suchitra has vast experience in leading and growing R&D teams focusing on AI, Data Science. Computer Vision and Machine Learning, with atleast 10 US patents and more than 25 publications in peer-reviewed journals and conferences.

Dr. Suchitra did her B. Engg (Hon) in Computer Engineering, M. Eng (by Research), in Embedded Systems and Image Processing and Ph. D. in Computer Vision and Embedded Systems from Nanyang Technological University, Singapore. She went on to do her Post Doctorate from UC San Diego before joining NAUTO as Computer Vision and Data Scientist. She is also the Founder and CEO of Satva, Inc.

Dr. Anbumani Subramnian is currently Principle Engineer, at Intel Bengaluru, India. Prior to joining Intel as a Lead Architect, he was with Hewlwtt-Paackard Labs as a Senior Research Scientist.

Dr. Anbumani has expertise in research and path-finding with over 15 years of professional experience (post Ph. D.) in computer vision, machine learning, image analysis, pattern recognition, human-computer interaction. His technical interests are in autmated navigation, depth cameras, omni-drectional vision, beyond-visible (hyper/muti-spectral) imaginf, multimodal interactions, multi-sensor fusion. He has made notable contributions in the Indian Driving Dataset (IDD), gesture recognition with depth cameras and onmidirectional vision ayatem for autonomous surface vehicle. He has 10 patents and several peer reviewed publications in top-tier conferences.

Dr. Anbumani did his B.E. in Electrical and Electronics Engineering from Bharathiar University and MS in Electrical and Computer Engineering from Virginia Polytechic Institute and State Univeristy and Ph. D. in Electrical Engineering from Virginia Tech. after which he also did his Post Doctoral from Virginia Tech.

Organizers

Dr. Ayesha Choudhary

Assistant Professor

School of Computer and Systems Sciences,

Jawaharlal Nehru University,

New Delhi, India

Prof. S. Indu

Professor,

Department of Electronics and Communication Engineering,

Dean, Student Welfare

Delhi Technological University,

Delhi, India


Topics of Interest

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

• Intent recognition and behavior prediction of vehicles and VRUs.

• 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 vulnerable 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:

o novel vehicle classes

o unmarked, or incomplete or disoriented road signs

o high density traffic

o harsh environmental conditions

o unpredictable behavior of traffic agents (pedestrians, cyclists, vehicles, etc.)

o Large intra-class variations in appearance of vehicles

• Autonomous driving

• Intelligent Transportation Systems

• Intelligent Traffic management

• Railways, Air transportation and Sea transportation with highly complex traffic scheduling

• Real-time decision making

• Assistive mobility in Unstructured Environments

o Applications for the Visually Impaired

o Applications for the Ageing Society

o Applications for hearing impaired

Important Dates

  • Deadline for workshop paper submission

April 30, 2021

May 10, 2021 (firm deadline, no extension)

  • Acceptance/rejection announcement

May 15, 2021

  • Final workshop papers due

May 31, 2021

Information for Authors

Manuscript Submissions

Manuscript submissions will be done using the Papercept/Paperplaza for IV2021 submissions HERE.


To submit a manuscript, you must have the following items readily available:

  • Type of Submission: You can select Contributed Paper or Workshop Paper (code available soon)

  • Title of the manuscript

  • Short 200 words text-only abstract of the manuscript

  • PINs of “ALL” co-authors (you can locate your co-authors’ PIN by following PIN link HERE)

  • Keywords: you will be prompted for 1-3 conference specific keywords during the submission process

  • Manuscript file should be a PDF file (version 1.4 or higher), have all fonts embedded/subsetted, in US Letter page size, searchable, non-password protected document. Final papers sent to be part of the program of the conference MUST be format compliant according to the instructions provided HERE (shortcuts to preparing manuscript: LaTEX support and MS-Word support)

Page limit

For the first submission, a manuscript in US Letter format can be of 6-8 pages (including references).


For the final submission, a manuscript should be of 6 pages (including references), with 2 additional pages allowed but at an extra charge.

Contact

In case of any queries, please write to the workshop organizers at: itsivue2021@gmail.com