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IEEE IV Workshop ITSIVUE 2022
Time: Aachen, Germany: 1:00 p.m. to 5:30 p.m.
Time: Aachen, Germany: 1:00 p.m. to 5:30 p.m.
India: 4:30 pm. to 9:00 p.m.
India: 4:30 pm. to 9:00 p.m.
Meeting ID: 851 3287 2945 Code: 141639
Meeting ID: 851 3287 2945 Code: 141639
Zoom link: https://us02web.zoom.us/j/85132872945?pwd=TjdsaW94eC9JM0YrelV0ZStGdHFFQT09
Workshop Schedule
Panel Discussion on “Challenges and Future Directions in ITS, IV, ADAS and Assistive Mobility in Unstructured Environments”
Distinguished Panelist
Prof. Santanu Chaudhury
IIT Jodhpur, India
(Panel Moderator)
Prof. M. Balakrishnan
IIT Delhi. India
Prof. Miguel Ángel Sotelo
University of Alcalá, Spain
Prof. C. V. Jawahar
IIIT Hyderabad, India
Prof. Eduardo Nebot
University of Sydney, Australia
Prof. Mohan M. Trivedi
University of California, San Diego, USA
Distinguished Invited Speakers
Prof. Dr.-Ing Rainer Stiefelhagen Karlsruhe Institute for Technology, Germany
Dr. Ravi K. Satzoda
Rivian, USA
Industry R&D Session on “Intelligent Solutions for Safe Autonomous Driving and Advanced Driver Assistant Systems in Unstructured Environments”
Distinguished Speakers for Industry R&D Session
Dr. Javier Ibanez-Guzman
Renault, France
(Session Chair)
Mr. Dipinder Sekhon
Kritikal Solutions, India
Ms. Ujjwala Karle
ARAI, India
Mr. Balachandar Santhanam
Intel Corporation, India
About the Workshop
About the Workshop
The 3rd Workshop on Intelligent Transportation Systems, Intelligent Vehicles and Advanced Driver Assistant Systems for Unstructured Environments will be held on June 5, 2022 as part of the Workshops at 33rd IEEE Intelligent Vehicle Symposium (IV) , 2022 at Aachen, Germany.
Past Workshops
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 31st 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.
The 2nd Workshop on Intelligent Transportation Systems, Intelligent Vehicles and Advanced Driver Assistant Systems for Unstructured Environments (ITSIVUE2021) was held in virtual mode on July 11, 2021 as part of the Workshops at 32nd IEEE Intelligent Vehicle Symposium (IV) , 2021. The 2nd workshop was successfully conducted with 2 invited talks, a panel discussion, paper presentations and spot-light presentation and had more than 65 attendees.
Scope of the Workshop
Scope of the Workshop
Intelligent Transportation Systems (ITS), Intelligent Vehicles (IV), and Advanced Driver Assistant Systems (ADAS) and Assistive Mobility (AM) solutions are a necessity in today’s world to make driving safer and easier. The current solutions that exist are based on the assumption that the deployment environment is well-structured. It is expected that the road conditions are good, traffic rules are followed and there are well-defined lanes, road surface markings and traffic signs. In unstructured environments, these assumptions may not be fulfilled. In such environments, roads may be in bad conditions, lane markings may be absent, and lane based driving and traffic rules are usually not followed. Moreover, in such scenarios people, animals and vehicles may all be present on the road simultaneously in a chaotic manner. Therefore, novel, reliable and deployable ITS, IV, ADAS and AM solutions need to be developed for 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 ITS, IV, ADAS and AM in chaotic and unstructured environments. The workshop will also be a platform to share the ongoing research efforts in these areas and discuss approaches to gather and share large amounts of annotated, real-world, high quality data of varied unstructured environments to promote research and development in this area.
Speaker Bio
Prof. Santanu Chaudhury is currently the Director of the Indian Institute of Technology, Jodhpur. He is a Professor in the Department of Electrical Engineering at the Indian Institute of Technology, Delhi. During 2016-18, he was the Director of CSIR-CEERI, Pilani in India. He is a recipient of the Distinguished Alumnus award from IIT Kharagpur, from where he received his Ph.D. 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 the Indian National Academy of Engineering and the 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.
Prof. Miguel Ángel Sotelo is currently a Full Professor at the Department of Computer Engineering, University of Alcalá. He received a degree in Electrical Engineering in 1996 from the Technical University of Madrid, Ph.D. in Electrical Engineering in 2001 from the University of Alcalá, and Master in Business Administration from the European Business School in 2008. In 1997, he was a Research Visitor at the RSISE of the Australian National University in Canberra. His research interests include Self-driving cars, Predictive and Cooperative Systems.
He has been the 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 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 (2009-2015). He served as President of the IEEE ITS Society (2018-2019), Editor-in-Chief of the IEEE Intelligent Transportation Systems Magazine (2014-2016) and General Chair of the 2012 IEEE Intelligent Vehicles Symposium (IV’2012). He was the recipient of the ITSS Outstanding Editorial Service Award in 2010, the IEEE ITSS Outstanding Application Award in 2013, and the Prize to the Best Team with Full Automation in GCDC 2016. At present, he is Vice-President for Finance of the IEEE Intelligent Transportation Systems Society.
Prof. Eduardo Nebot is a Fellow of the Institute of Electrical and Electronic Engineering (FIEEE) and Fellow of the Australian Academy of Technology and Engineering (FTSE). He is a pioneer in research, development, and deployment of autonomous systems and safety. He has been uniquely impactful, working with various companies and government organisations to apply these technologies in industrial applications for Australian and international benefit. Further, he has been responsible for introducing advanced machine learning techniques in automation and safety applications that were demonstrated and deployed in industrial operations around the world.
He co-founded the Australian Centre for Field Robotics (ACFR) and was the Manager Director from 2010 to 2020. ACFR is one of the largest and most successful field robotic R&D centres in the world. He also led several national and international projects in the future mobility area with institutions such as Ford Motor USA, Renault France, Transport for NSW, and other iMOVE CRC partners.
More recently, he has been successful as one of the partners of a new $110M R&D CRC iMOVE (2016-2026) to address R&D in Intelligent Transport Systems. He led various projects with industry and government organisations.
He is currently an Emeritus Professor at the University of Sydney and consulting in the autonomous system area across different industries such as transport and mining automation.
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 ACM Eugene L Lawler award, three National awards and IIT Delhi's Life Time award for his work in the disability space. He is a pioneer in the development of assistive devices targeted towards mobility and education of the visually impaired, having established a research group on Embedded Assistive Technologies for the Disabled (ASSISTech). 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.
At IIT Delhi, he has initiated a number of programmes/activities to promote research, start-ups as well as outreach to the community. In the year 2010, Prof. 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. He has held visiting positions in University of Guelph (Canada), University of Syracuse (USA), University of Kiel (Germany) and University of Dortmund (Germany).
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. He also heads the Mobility division of the iHub-Data technology hub established at IIIT Hyderabad under the National Mission on Interdisciplinary Cyber-Physical Systems scheme. An Amazon Chair Professor, he 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, he 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. Prof. Trivedi received his Ph.D. 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 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.
Prof. Dr.-Ing. Rainer Stiefelhagen is currently a Full Professor for Informatic systems for Visually Impaired Students with the Karlsruhe Institute of Technology (KIT). He is also the Director of Computer Vision for Human-Computer Interaction Lab (cv:hci) at the Institute of Anthropomatics and Robotics of the Department of Computer Science at KIT and head of the KIT's Study Center for Visually Impaired Students (SZS). He is also the co-founder of Videmo Intelligente Videoanalyse GmbH Co. KG which develops innovative software and algorithms for automatic video analysis in a wide range of application areas such as security, customer analysis, traffic monitoring and health care.
He received the Dipl.-Inform and Dr.-Ing. degrees from the Universität Karlsruhe (TH) in 1996 and 2002, respectively. His research focuses on the development of novel techniques for the visual and audio-visual perception of humans and their activities, in order to build perceptive human-friendly systems. He is particularly interested in building complete human-friendly systems, such as human-friendly robots, smart environment and assistive technology for people with visual impairments. His research interests also lie in automatic analysis of multimedia content and video surveillance applications. He has been working on a number of perception components including person tracking, person identification, recognition of pointing gestures, estimation of head orientation and focus of attention, as well as audio-visual scene and activity analysis.
Dr. Ravi Kumar Satzoda is currently a Deep Learning Manager at the Self-Driving Group at Rivian, USA. He received the B.Eng. (with First Class Hons.), M. Eng. (by research), and Ph.D. degrees from Nanyang Technological University, Singapore, in 2004, 2007, and 2013, respectively. He was a Postdoctoral Fellow at the University of California, San Diego, CA, USA, where he is associated with the Laboratory for Intelligent and Safe Automobiles. He has over 10 years of experience in developing computer vision, machine learning and deep learning-based systems. He led the development of some of the first generation of CV/DL products of Nauto Inc., a Bay Area startup that develops smart dash cameras for driver behavior understanding. He has also led a team of applied scientists at Bosch Center for Artificial Intelligence (BCAI) in developing next-generation ML systems that are deployed in multiple domain spaces including autonomous driving and automated systems. He has over 60 publications in peer-reviewed journals and conferences, and multiple patent grants, primarily in the areas of computer vision and intelligent systems.
Dr. Javier Ibanez-Guzman is Technical Lead Research & Advanced Engineering at the Connected Autonomous Vehicles, Level-4 SAE section of Renault and responsible for the corporate network of specialists (Decision-Making, Machine Perception, World Modelling, Validation). He is also a member of the Alliance Venture Capital investments (Renault-Nissan-Mitsubishi) for Autonomous Driving technologies and has additional responsibilities for the industry & academic activities of SivaLab (UTC Compiègne, CNRS).
He obtained his Ph.D. at the University of Reading and his MSEE at the University of Pennsylvania (USA) as a Fulbright scholar. In 2011, he was visiting scholar at the University of California, Berkeley (CITRIS). He is member of the technical staff at Renault S.A., working on autonomous vehicle navigation technologies. Formerly, he was senior scientist at a national research institute in Singapore, where he spearheaded work on autonomous ground vehicles. He has several publications and patents in the robotics and automotive domains. He is a C. Eng., U.K., and a fellow of the Institute of Engineering Technology, U.K.
Mr. Dipinder Sekhon is the Chief Executive Officer and Co-founder of Kritikal Solutions, India. He coordinates the overall operations, drives future growth strategy and business planning in the company. He holds Masters and Bachelors in Technology degrees in Computer Science and Engineering from the Indian Institute of Technology (IIT) Delhi, with a specialization in Computer Vision. He is one of the co-founders of Kritikal Solutions, which was the first startup at IIT Delhi. Along with his other roles he also manages delivery of Computer Vision Systems and AI based imaging solutions. He also holds a Masters in Public Administration (MPA – Public and Economic Policy) from the London School of Economics and Political Science (LSE) and Sciences-Po, Paris.
Mrs. Ujjwala Karle is the Deputy Director of the Technology Group at Automotive Research Association of India (ARAI). She has been with ARAI for the past 30 years in various roles. With over three decades of experience in the automotive technology space, she has worked on various subjects and domains such as ADAS, autonomous, electrification, hybridisation, safety-critical integrated systems, OBD, IoT, etc. Throughout her various roles at ARAI, she has continued to bring up new innovative products and patented designs for the Indian automotive market. Few of her outstanding application projects include electronics within the series hybrid vehicles, dual fuel control, low-cost test system for loaded mode (included as part of Auto Fuel Policy).
Mr. Balachandar Santhanam is a Senior Principal Engineer, Automotive Safety, Intel Onboard Fleet Services at Intel Corporation, India. He has been with Intel India since September 2010. At Intel, he has been working on verticalized solutions for IoT (health, smart home, automotive) that leverages compute on the edge. He is passionate about programming paradigms, architecture, AI and related technologies. Prior to joining Intel, he spent about 14 years in data networking and embedded software in cellular wireless domain as Principal Engineer at Infineon Technologies (now Intel Mobile Communications) where he was one of the Senior Architects of mobile phone platforms division. Prior to this he spent 6 years in San Francisco Bay Area, working for couple of telecom and IP telephony startup companies.
Workshop Organizers
Dr. Ayesha Choudhary
Jawaharlal Nehru University,
India
Prof. S. Indu
Prof. S. Indu
Delhi Technological University,
India
Contact
Contact
In case of any queries, please write to the workshop organizers at: itsivue2022@gmail.com
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