- Dr. Erik Coelingh, Volvo Cars, Sweden, Drive Me – Self-driving cars for sustainable mobility
- Professor Anders Lie (PhD), The Swedish Transport Administration, Road traffic safety, automated cars and infratsructure – potentials and possibilities
- Dr. Cristina Olaverri Monreal, AIT Austrian Institute of Technology GmbH, Innovation Systems Department Business Unit Technology Experience, Vienna, Austria, Road Users and Human Machine Interaction.
- Dipl.-Ing. Benedikt Schonlau, Head of Department Active Safety & Lighting Functions, IAV GmbH , Chemnitz, Germany, Highly automated driving: Whom can you trust?
Dr. Erik Coelingh, Volvo Cars,
Drive Me – Self-driving cars for sustainable mobility
Abstract: Self-driving cars have the potential to improve traffic safety and efficiency, but also provide drivers with the freedom to spend time in a different way. To research the real life impact of self-driving vehicles Volvo will launch 100 self-driving cars in Gothenburg 2017. Typical aspects that are addressed are societal and economical benefits, infrastructure requirements, legality and customer expectations. Furthermore, the technical challenge of highly-automated driving has to be solved, ensuring that the technology is sufficiently robust and safe such an ordinary customer can operate the vehicle. This presentation will give an update of the status and progress of the project.
More information: Press-release
Erik Coelingh is Senior Technical Leader for Safety and Driver Support Technologies with the Volvo Car Corporation and Adjunct Professor at Chalmers University of Technology in Gothenburg Sweden. He received the M.Sc. and Ph.D. degrees in electrical engineering from the University of Twente, Enschede, The Netherlands, in 1995 and 2000, respectively.
After his studies he joined Volvo Car Corporation and worked in several projects on vehicle control and active safety. He was responsible for the first application of collision mitigation by braking on the Volvo S80 in 2006 and led the advanced engineering activities for Pedestrian Detection with Full Auto Brake which was launched in 2010.
Currently he is responsible for Volvo’s technical strategy for safety and driver support technologies and works actively on research and development of various collision avoidance and automated driving features, such as e.g. the Drive Me project.
Professor Anders Lie (PhD), The Swedish Transport Administration,
Road traffic safety, automated cars and infratsructure – potentials and possibilities
Abstract: Modern cars have safety and control potentials that allow an almost automated function. Automated cars is an element of the future road transport system. It is often claimed that this development is a key element for improved safety. In this presentation an overview of the safety development of the modern road transport system is given. The focus is around Vision Zero. Further it is discussed how infrastructure can be enhanced to support and get a larger efficiency and safety.
Anders Lie, Ph.D. in the field of medicine, is specialist in traffic safety working for the Swedish Transport Administration. He has held his position there since 1995. Anders Lie has been an active partner in the development of the Vision Zero. He has furthermore set-up in depth studies of all fatal crashes in Sweden starting from 1997. From the start he has been representing Sweden as a board member in the Euro NCAP crash test co-operation. Anders Lie has further been active in the development of a Management System Standard for Traffic Safety (ISO 39000). Anders Lie has written over 50 scientific papers within the field of vehicle safety and is active in many international co-operations. His research is focussed on evaluation of new vehicle safety technologies and Vision Zero. The research is also looking at how the introduction of new safety technologies can be followed and integrated in modern management systems such as ISO 39001. In September 2014 Anders Lie was appointed as adjunct professor at Chalmers University of Technology.
Dr. Cristina Olaverri Monreal (PhD), AIT Austrian Institute of Technology GmbH Innovation Systems Department Business Unit Technology Experience, Vienna, Austria.
Road Users and Human Machine Interaction
Abstract: With the number of in-vehicle information systems and the complexity of their tasks growing at a very high rate in near future, we need a clear understanding of their related distraction or mental workload and its impact on driver performance as these systems do not always comply with the intended driver safety enhancement. The advent of vehicle automation promotes a reduction of the driver workload. However, depending on the automation grade; consequences for the passengers such as out-of-the-loop states can be foreseen. This presentation gives an overview of the impact of such technologies on traffic awareness for the driver towards improving driving performance and reducing road accidents. Furthermore, the benefits and potential problems regarding vehicle automation will be outlined.
Dr. Cristina Olaverri Monreal received the Ph.D. degree and M.Sc. degree in computer science, computational linguistics and phonetics in cooperation with BMW, from the Ludwig-Maximilians University in Munich, Germany, in 2002 and 2006, respectively. Currently, she is a senior scientist and research group lead with the Austrian Institute of Technology, where her focus is on innovative forms of mobile and ubiquitous interaction, and advanced approaches to human mobility also focusing on a vehicular context. Her experience in the areas of Human Factors and Human-Machine Interaction provides the foundation to minimize the barrier between users and technical systems focusing on the perception of the environment in complex, dynamic scenarios that are critical to decision-making processes. Her research interests lie in multi-functional systems for in-vehicle information and entertainment; overall efficiency of user and system utilization; driver behavior; simulation tools and research concerning Intelligent Transportation Systems (ITS). Dr. Olaverri has been engaged for several years as a member of technical committees, a referee for international conferences on ITS and a (co)-organizer of scientific events. She is the chair of the IEEE ITS Society’s Technical Activities Committee on Human Factors in Intelligent Transportation Systems and member of the IEEE ITS Society’s Technical Activities Committee on Artificial Transportation Systems and Simulation. She is also the program co-chair for the International IEEE Conference on Intelligent Transportation Systems (ITSC15) and the general chair and (co-)organizer of the Human Factors in Intelligent Vehicles Workshop (HFIV’12, HFIV’13, HFIV’14, HFIV’15) within the IEEE IV’12, IV’13, IV’14 and IV’15. Additionally, she is the general chair and (co-)organizer of the special session on Intelligent Cooperative Driving, and Autonomous Connected Vehicles (ICD & ACV 2014, ICD & ACV 2015), within the International Conference on Collaboration Technologies and Systems (CTS). Currently, Dr. Olaverri is Member of the Board of Governors (BoG) of the IEEE Intelligent Transportation Systems Society (ITSS) (Jan 1, 2015 to Dec 31, 2017), associate editor of the IEEE Transactions on Intelligent Transportation Systems and editor of the ITS Research Lab Spot Light column in the IEEE ITS Magazine. 2013-2014 she was guest editor of the special issue on “Human Factors in Intelligent Vehicles” (HFIV) of IEEE Transactions on Intelligent Transportations Systems (IEEE T-ITS).
Dipl.-Ing. Benedikt Schonlau, Head of Department Active Safety & Lighting Functions, IAV GmbH , Chemnitz, Germany
Highly automated driving: Whom can you trust?
Abstract: Intelligent Transport Systems (ITS) are currently being developed in a lot of different industry sectors. The biggest challenge is to make those systems safe and reliable. Main focus of ITS in automotive industry is Highly Automated Driving (HAD). Highly Automated Driving is in an advanced development state and will get into production status in a few years. This new technology is required to be safe and reliable by design, not by bad experience and enhancements. In complex ITS, where system boundaries are not limited to single products from one OEM, safety and reliability is a question of trust. Can we trust those vehicles with variable HAD system boundaries, that they do not endanger participants and their surrounding field? From a technical point of view, a trust chain of all required technologies is essential. But which technology is trustful enough? Could it be surrounding field sensing (camera, laser or radar), global dynamic maps, local dynamic maps, GNSS, V2X, sensor data fusion or driving algorithms?
Who should be allowed to update maps? Can you trust the map authors? What has to be done to trust algorithms? What about data age? How is trust diminishing with growing data age? And what level of trust is really needed for highly automated driving? This keynote illustrates the problem of trust for highly automated driving and discusses high level strategies for getting trust into automated vehicles.
Benedikt Schonlau finished his degree in Mechatronics in 2005 at the Ostwestfalen-Lippe University of Applied Sciences (Germany). Starting in the field of function development for Driver Assistance and Active Safety he has been working for IAV in Chemnitz for over 10 years now. Between 2007 and 2011 Mr. Schonlau worked as project manager on the topic PreCrash. Since 2012 he is Head of Department Active Safety and Lighting Functions. In this role he is responsible for the worldwide establishment of IAV competencies in this field. He has a track record of fundamental research on these topics which is documented by numerous publications by IEEE, VDI and SAE. He is a member in Car2Car communication consortium as well as in ITS Niedersachsen.