Journal of large-scale research facilities, 3, A111 (2017) http://dx.doi.org/10.17815/jlsrf-3-147 Published: 22.05.2017 Experimental vehicles FASCar®-II and FASCar®-E Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) Institute of Transportation Systems * Instrument Scientists: - Claus Kaschwich, DLR, Institute of Transportation Systems, Braunschweig, Germany, phone +49 531 295-3103, email: claus.kaschwich@dlr.de - Lars Wölfel, DLR, Institute of Transportation Systems, Braunschweig, Germany, phone +49 531 295-3600, email: lars.woelfel@dlr.de Abstract: The main goal of the large-scale research facility FASCar® are scienti�c studies and analyses in the �eld of driver assistance and vehicle automation. This includes also studies of human behavior, acceptance studies, test of new assistance systems and automation, as well as user friendliness. FASCar® makes it possible to test and analyze innovative systems and developed functions in a simulated or even real tra�c environment. 1 Introduction Active interventions can make driving safer - used incorrectly, however, they can also cause danger. The Institute of Transportation Systems therefore developed driver assistance according to the driver’s requirements and needs. To �nd out if the driver reacts correctly to the intervention of a new assis- tance system, test rides with a car capable of active interventions are the last logical step of develop- ment. These test rides can be performed by using the large-scale research facility FASCar®. This article provides an overview of the experimental vehicles FASCar®-II and FASCar®-E. 2 Technical Description The large-scale research facility FASCar® consists of two experimental vehicles called FASCar®-E and FASCar®-II. The main di�erence between FASCar®-E and FASCar®-II is their special area of operation. FASCar®-E is developed for testing in real tra�c environment and it has a road approval. FASCar®-II *Cite article as: DLR Institute of Transportation Systems. (2017). Experimental vehicles FASCar®-II and FASCar®-E. Journal of large-scale research facilities, 3, A111. http://dx.doi.org/10.17815/jlsrf-3-147 1 http://jlsrf.org/ http://dx.doi.org/10.17815/jlsrf-3-147 http://dx.doi.org/10.17815/jlsrf-3-147 https://creativecommons.org/licenses/by/4.0/ Journal of large-scale research facilities, 3, A111 (2017) http://dx.doi.org/10.17815/jlsrf-3-147 instead, caused by its hardware, can only be driven on test sites, but in exchange it o�ers a higher level of active interventions and a futuristic human machine interface (HMI). 2.1 FASCar®-E The FASCar®-E is an electric 7th generation Volkswagen Golf. It is equipped with a 115-hp electric motor. Considered all the build in technology its range is approx. 130 km (80miles). Its main goal is the research in the �eld of automation in public urban scenarios. For this research purpose the vehicle is modi�ed with additional Sensors, a new HMI and a lateral and longitudinal control system. 2.1.1 Sensors For environment recognition and vehicle localization FASCar®-E is equipped with four laser scanners and three long range radars which are mounted in front and rear bumpers of the vehicle, as well as an inertial measurement unit (IMU) with GPS aiding. A C2X-System is used for vehicle-to-infrastructure and vehicle-to-vehicle communication. Figure 1: FASCar®-E 2.1.2 Human Machine Interface (HMI) A free con�gurable dashboard display replaces the original instrument cluster, which is mounted in the glove compartment for safety purposes. With this free con�gurable dashboard new HMI concepts can be validated. 2 http://dx.doi.org/10.17815/jlsrf-3-147 https://creativecommons.org/licenses/by/4.0/ http://dx.doi.org/10.17815/jlsrf-3-147 Journal of large-scale research facilities, 3, A111 (2017) Figure 2: Free con�gurable dashboard display. 2.1.3 Lateral and longitudinal control FASCar®-E can be controlled by a controller area network (CAN) interface in longitudinal and lateral direction. For longitudinal control the signals of the adaptive cruise control (ACC) are rerouted to be able to accelerate the vehicle with +2m/s2 to -3m/s2 by software. For lateral control the signals of the active park assist are used. Especially the use of the original equipment manufacturer’s own systems for lateral and longitudinal control enables the use of this vehicle on public roads. 2.2 FASCar®-II: The FASCar®-II is a Volkswagen Passat which has a 2.0 Diesel engine. It is equipped with the same set of sensors as FasCarE. Hardware di�erences between both vehicles are the lateral and longitudinal control System as well as the HMI. Figure 3: Free con�gurable dashboard display. 2.2.1 Lateral and longitudinal control To achieve a maximum intervention FASCar®-II is equipped with a throttle paddle and a prototype of a brake booster which support full longitudinal control without any restrictions. For lateral control and new HMI concepts a steer-by-wire system is integrated in the vehicle. It allows on the one hand an 3 http://dx.doi.org/10.17815/jlsrf-3-147 https://creativecommons.org/licenses/by/4.0/ Journal of large-scale research facilities, 3, A111 (2017) http://dx.doi.org/10.17815/jlsrf-3-147 active control of the vehicle wheels without a turning of the steering wheel and on the other hand a turning on the steering wheel without turning the vehicle wheels. This advantage can be used for new HMI concepts, automated security interventions and it enables FASCar®-II not only to be used on test sites, but also in a simulator like the VR-Lab (virtual reality laboratory), see Figure 4. Figure 4: FASCar®-II inside VR-Lab 2.2.2 Human Machine Interface (HMI) Besides a free con�gurable dashboard display such as FASCar®-E, a steering wheel for HMI purposes replaces the original one. It has several free programmable and illuminable buttons, which can be read out by a wireless connection to a PC. Figure 5: Steering wheel of FASCar®-II. 3 Project Application Exampels The large-scale research facility FASCar® was and is used in several projects. This only a short overview of some of the projects FASCar was involved in: 4 http://dx.doi.org/10.17815/jlsrf-3-147 https://creativecommons.org/licenses/by/4.0/ http://dx.doi.org/10.17815/jlsrf-3-147 Journal of large-scale research facilities, 3, A111 (2017) 3.1 InteractIVe The Project interactive stands for accident avoidance by active intervention for Intelligent Vehicles The European research project interactIVe took the next step towards the goal of accident-free tra�c. interactIVe developed advanced driver assistance systems (ADAS) for safer and more e�cient driving. interactIVe introduced safety systems that autonomously brake and steer. The driver is continuously supported by interactIVe assistance systems. They warn the driver in potentially dangerous situations. The systems do not only react to driving situations, but are also able to actively intervene in order to protect occupants and vulnerable road users. Seven demonstrator vehicles – six passenger cars of di�erent vehicle classes and one truck – were built up to develop, test, and evaluate the next generation of safety systems (Heesen et al., 2015). 3.2 HAVEit The project HAVEit aimed at the realization of the long-term vision of highly automated driving for intelligent transport. The project developed, validated and demonstrated important intermediate steps towards highly automated driving. HAVEit signi�cantly contributed to higher tra�c safety and e�- ciency usage for passenger cars, busses and trucks, thereby strongly promoting safe and intelligent mobility of both people and goods (Flemisch et al., 2011). The signi�cant HAVEit safety, e�ciency and comfort impact was generated by three measures: • Design of the task repartition between the driver and co-driving system (ADAS) in the joint system. • Failure tolerant safe vehicle architecture including advanced redundancy management • Development and validation of the next generation of ADAS directed towards higher level of automation as compared to the current state of the art. 3.3 MobiFAS The example of browsing the internet with a tablet PC allowed researchers of the Institute of Trans- portation Sysems to investigate how and under what circumstances control should be handed over from the vehicle to the driver. In case the vehicle is approaching a construction site distraction of the driver can become a problem. In order to safely navigate the vehicle in this situation the driver has to interrupt his or her activities and prepare for taking over responsibility for steering the vehicle. Even today every fourth car driver is distracted by the use of mobile devices during his drive. This can have catastrophic e�ects. How can a driver of a highly automated road vehicle be integrated in the driv- ing task in a comfortable, fast and e�ective way? These answers are given by the MobiFAS project (Lapoehn et al., 2016). 3.4 Valet parking Automation of vehicles provides new opportunities to develop novel concepts for an optimal combi- nation of public and individual transportation as well as the introduction of electrical cars that need coordinated recharging. A typical scenario of such a concept might be automatic drop-o� and recovery of a car in front of a train station without taking care of parking or re-charging. Such new mobility concepts require among other technologies autonomous driving in designated areas. The objective of this project is to develop a smart car system that allows for autonomous driving in designated areas (e.g. valet parking, park and ride) and can o�er advanced driver support in urban environments (Löper et al., 2013). References Flemisch, F., Schieben, A., Schoemig, N., Strauss, M., Lueke, S., & Heyden, A. (2011). Design of Human Computer Interfaces for Highly Automated Vehicles in the EU-Project HAVEit. In C. Stephanidis (Ed.), Universal Access in Human-Computer Interaction. Context Diversity: 6th International Confer- ence, UAHCI 2011, Held as Part of HCI International 2011, Orlando, FL, USA, July 9-14, 2011, Proceedings, 5 http://dx.doi.org/10.17815/jlsrf-3-147 https://creativecommons.org/licenses/by/4.0/ Journal of large-scale research facilities, 3, A111 (2017) http://dx.doi.org/10.17815/jlsrf-3-147 Part III (pp. 270–279). Berlin, Heidelberg: Springer Berlin Heidelberg. http://dx.doi.org/10.1007/978- 3-642-21666-4_30 Heesen, M., Dziennus, M., Hesse, T., Schieben, A., Brunken, C., Löper, C., . . . Baumann, M. (2015). In- teraction design of automatic steering for collision avoidance: challenges and potentials of driver de- coupling. IET Intelligent Transport Systems, 9(1), 95-104. http://dx.doi.org/10.1049/iet-its.2013.0119 Lapoehn, S., Dziennus, M., Schieben, A., Utesch, F., Hesse, T., Köster, F., . . . Johann, K. (2016). Interaction design for nomadic devices in highly automated vehicles. Mensch und Computer 2016 Proceedings. Löper, C., Brunken, C., Thomaidis, G., Lapoehn, S., Fouopi, P. P., Mosebach, H., & Köster, F. (2013). Automated Valet Parking as Part of an Integrated Travel Assistance. In 16th International IEEE Annual Conference on Intelligent Transportation Systems (ITSC 2013) (pp. 2341–2348). 6 http://dx.doi.org/10.17815/jlsrf-3-147 http://dx.doi.org/10.1007/978-3-642-21666-4_30 http://dx.doi.org/10.1007/978-3-642-21666-4_30 http://dx.doi.org/10.1049/iet-its.2013.0119 https://creativecommons.org/licenses/by/4.0/ Introduction Technical Description FASCar®-E Sensors Human Machine Interface (HMI) Lateral and longitudinal control FASCar®-II: Lateral and longitudinal control Human Machine Interface (HMI) Project Application Exampels InteractIVe HAVEit MobiFAS Valet parking