Enhanced Protection of Vulnerable Road Users – A Combined Discriminative and Generative Approach for Accurate Detection and Prediction of Pedestrian Intentions
Miguel A. Sotelo, Universidad de Alcalá, Spain
Mobility Service Integration, Mobility Platforms, and Intelligent Planning Agents
Karl-Heinz Krempels, RWTH Aachen University, Germany
Intelligent Transport Systems for Smart Cities - Improvement of Air Quality on Roads by Environmentally Oriented Urban Traffic Management
Uwe Plank-Wiedenbeck, Bauhaus-Universität Weimar, Germany
Enhanced Protection of Vulnerable Road Users – A Combined Discriminative and Generative Approach for Accurate Detection and Prediction of Pedestrian Intentions
Miguel A. Sotelo
Universidad de Alcalá
Spain
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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 (2009-2015), 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 (2014-2016), Associate Editor of IEEE Transactions on Intelligent Transportation Systems (2008-2014), member of the Steering Committee of the IEEE Transactions on Intelligent Vehicles (since 2015), and a member of the Editorial Board of The Open Transportation Journal (2006-2015). 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 2016. At present, he is President of the IEEE Intelligent Transportation Systems Society.
Abstract
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.
Mobility Service Integration, Mobility Platforms, and Intelligent Planning Agents
Karl-Heinz Krempels
RWTH Aachen University
Germany
http://www.dbis.rwth-aachen.de
Brief Bio
Karl-Heinz Krempels studied computer science at RWTH Aachen University. He received a doctoral degree (2009) in Computer Science from RWTH Aachen University for works on Agent-based Scheduling and Timetabling. He worked as research associate in several national and international projects on knowledge-based planning, agent technology, timetabling, health care, human-computer interaction. He joined to the Database and Information Systems Group at RWTH Aachen University as Postdoc in summer 2010 and is continuing his research on timetabling, intelligent distribued systems, mobility information systems, and mobile navigation systems. Since 2015 he is also the head of the Intelligent Mobility Group at Fraunhofer Institute for Applied Information Systems FIT, Sankt Augustin, Germany.
Abstract
Mobility services provide travel information, registration, booking, ticketing, accounting, and travel assistance for customers. The integration of mobility services based on business logic integration leads to new mobility platforms that have to provide the same service range for new bundled products that contain multimodal trip legs. Furthermore, the customer loyalties will move from singular service provide to the mobility platform provider. The mobility platform becomes a grid master in the intermediate economic scenarios. I will give an overview of the evolution of travel information systems from an information system for a singular mobility service to an information system for an integrated mobility platform. Furthermore, I will discuss how the customer loyalty will move from the singular service to the mobility platform and then to agent platforms for calendar agents, agenda planning agents, chat bots, etc.
Intelligent Transport Systems for Smart Cities - Improvement of Air Quality on Roads by Environmentally Oriented Urban Traffic Management
Uwe Plank-Wiedenbeck
Bauhaus-Universität Weimar
Germany
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Brief Bio
Uwe Plank-Wiedenbeck is Director of Bauhaus-Institute for Infrastructure Solutions (b.is). The institute aims to strengthen the cooperation of the university´s research teams in Urban Water Management and Sanitation, Biotechnology in Resources Management, Transport System Planning and Urban Energy Systems in the areas of teaching, research and consultancy work. This encompasses the further development of degree programs, joint doctorate colloquia and joint research and development activities. The research and teaching in this field follows interdisciplinary ideas of creating sustainable design solutions for material- and energy-flows, which are the common focus of the key participating chairs of the institute. Uwe Plank-Wiedenbeck graduated in Civil Engineering in 1990, completed the Dr.-Ing. in Transport Planning in 1995. Between 2005 and 2014 he was Managing Director of pwp-systems GmbH. Since 2014 he is Full-Professor of Transport System Planning, in the Department of Civil Engineering. His main fields of special competence are: · implementation of telematic-systems and integration in traffic management concepts, · moderation and conducting of planning and development processes, · conducting of national and international research projects in the field of traffic management, project planning and business economics, · modelling and forecasting of traffic, on the basis of high experiences in simulation models, statistics and mathematical methods, surveys and data acquisition, · Planning and design of transport infrastructure, main emphasis on urban and rural planning, airport planning and railway infrastructure and preparation and planning of transport concepts for large scale events (like world exhibitions, fares and sporting events). Furthermore he is member of the executive board of the Bauhaus Weiterbildungs-Akademie Weimar (Acedemy for further education) and member of the scientific board of DGON (German Institute of Navigation).
Abstract
The transport system is of central importance for any economy in the world especially for big cities. By the year 2025, it is predicted that approximately 60% of the world’s population will live in urban areas. Global challenges such as the climate chance, scarcity of resources, increasing transport and urban sprawl demand a change of thinking. The question how policy can advance the future of integrated and sustainable mobility needs to be answered with intelligent solutions for smart cities.
In this context the improvement of air quality by traffic management measures, that is becoming increasingly important worldwide, is an excellent example for the role of Intelligent Transport Systems in this context. Especially in major cities in many countries worldwide the atmospheric pollution has reached rapidly intolerable high levels. New approaches in road traffic control could make significant contributions to multi-disciplinary efforts to stop these increasing air pollution.
Environmentally oriented local traffic management is based on permanent monitoring of traffic conditions, environmental data, and climate data. It includes strategy management, the operation of information systems and quality management with the aim to reduce traffic volume and to minimize acceleration and braking events. With this approach significant reductions in the emissions and imissions of relevant air pollutants can be achieved. Such systems are now in regular operation and are due to be deployed to the entire of metropolitan areas.