2017 IEEE INTERNATIONAL CONFERENCE ON VEHICULAR ELECTRONICS AND SAFETY

Fawzi Nashashibi

Dr. Fawzi Nashashibi / Senior researcher and the Program Manager of RITS Team at INRIA (Paris-Rocquencourt) since 2010

 

Biography: Dr. Fawzi Nashashibi has been senior researcher and Program Manager in the robotics centre of the École des Mines de Paris (Mines ParisTech) since 1994 and was an R&D engineer and a project manager at ARMINES since May 2000. He was previously a research engineer at PROMIP (working on mobile robotics perception dedicated to space exploration) and a technical manager at Light Co. where he led the developments of Virtal Reality/Augmented Reality applications.Fawzi Nashashibi has a Master’s Degree in Automation, Industrial Engineering and Signal Processing (LAAS/CNRS), a PhD in Robotics from Toulouse University prepared in (LAAS/CNRS) laboratory, and a HDR Diploma (Accreditation to research supervision) from University of Pierre et Marie Curie (Paris 6).His main research topics are in environment perception and multi-sensor fusion, vehicle positioning and environment 3D modeling with main applications in Intelligent Transport Systems and Robotics.He played key roles in more than 50 European and national French projects such as Carsense, ARCOS, ABV, LOVe, HAVE-it, SPEEDCAM, PICAV, CityMobil… some of which he is coordinating. He is also involved in many collaborations with French and international academics and industrial partners. He is author of numerous publications and patents in the field of ITS and ADAS systems.His current interest focuses on advanced urban mobility through the design and development of highly Automated Transportation Systems. This includes Highly Automated Unmanned Guided Vehicles (such as Cybercars) as well automated personal vehicles. In this field he is known as an international expert.

Automated vehicles in urban environments: challenges and technical solutions

Abstract It is now recognized in the ITS community that it is much more likely to deploy autonomous vehicles first on motorways than in urban areas despite the many possible applications and uses that are economically viable: automated taxis, automated shuttles for public transportation, automated freight and delivery systems, last mile solutions… The reason for this position is the multitude of obstacles and challenges at legal, economic, technical and even scientific levels. In this talk we will tackle the benefits of automation in urban areas and we will focus on some practical use cases. We will detail the technical challenges and practical solutions provided through existing examples. More deeply we will tackle localization, motion planning and intelligent control techniques dedicated to specific manoeuvres and configurations such as urban platoons and automated parking and docking. Some examples will be provided coming from real implementations and original concepts validated in urban-like environments.

 

 

Christoph Stiller

Dr. Christoph Stiller / Institut für Mess- und Regelungstechnik KIT - Karlsruher Institut für Technologie, Germany

 

Biography: Dr. Christoph Stiller studied Electrical Engineering in Aachen, Germany and Trondheim, Norway, and received the Diploma degree and the Dr.-Ing. degree (Ph.D.) from Aachen University of Technology in 1988 and 1994, respectively. He worked with INRS-Telecommunications in Montreal, Canada for a post-doctoral year as Member of the Scientific Staff in 1994/1995. In 1995 he joined the Corporate Research and Advanced Development of Robert Bosch GmbH, Germany. In 2001 he became chaired professor and director of the Institute for Measurement and Control Systems at Karlsruhe Institute of Technology, Germany. Dr. Stiller serves as Senior Editor for the IEEE Transactions on Intelligent Vehicles (2015-ongoing) and as Associate Editor for the IEEE Intelligent Transportation Systems Magazine (2012-ongoing). He served as Editor-in-Chief of the IEEE Intelligent Transportation Systems Magazine (2009-2011). His automated driving team AnnieWAY has been finalist in the Darpa Urban Challenge 2007, first and second winner of the Grand Cooperative Driving Challenge in 2011 and 2016, respectively. He has served is several positions for the IEEE Intelligent Transportation Systems Society including being its President 2012-2013.

 

Connected Automated Driving

Abstract Vehicle automation and vehicle connectivity are among the most fascinating trends in automotive electronics. These trends are considered individually but foremost the potential of their combination is discussed. We investigate which sensor configurations may be sufficient for automated vehicles. We show that cognitive and autonomous vehicles with a few close-to-market sensors are feasible. Vision plays the dominant role in our autonomous vehicle. We completely avoid bulky on-roof mounted sensors. The sensor suite enables the vehicle to perceive its environment and automatically navigate through everyday's traffic. The augmentation of sensor information by prior knowledge from digital maps is elaborated. Real-time automated decision-making and trajectory planning methods are outlined. The potential of cooperative information exchange and distributed decision in traffic is outlined. Extensive experiments are shown in real world scenarios from our AnnieWAY vehicle, the winner of the 2011 and second winner of the 2016 Grand Cooperative Driving Challenge, and from the Bertha vehicle that drove autonomously on the 104 km of the Bertha Benz memorial route from Mannheim to Pforzheim through a highly populated area of Germany.