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Semi-Autonomous Longitudinal Guidance for Pedestrian Protection in Electric Vehicles by Means of Optimal Control
Technical Paper
2016-01-0163
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
This paper proposes a framework for semi-autonomous longitudinal guidance for electric vehicles. To lower the risk for pedestrian collisions in urban areas, a velocity trajectory which is given by the driver is optimized with respect to safety aspects with the help of Nonlinear Model Predictive Control (NMPC). Safety aspects, such as speed limits and pedestrians on the roadway, are considered as velocity and spatial constraints within prediction horizon in NMPC formulation. A slack variable is introduced to enable overshooting of velocity constraints in situations with low risk potential to rise driver acceptance. By changing the weight of slack variable, the control authority can be shifted continuously from driver to automation. Within this work, a prototypical real-time implementation of the longitudinal guidance system is presented and the potential of the approach is demonstrated in human-in-the-loop test drives in the Stuttgart Driving Simulator.
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Citation
Rothermel, T., Pitz, J., and Reuss, H., "Semi-Autonomous Longitudinal Guidance for Pedestrian Protection in Electric Vehicles by Means of Optimal Control," SAE Technical Paper 2016-01-0163, 2016, https://doi.org/10.4271/2016-01-0163.Also In
References
- National Highway Traffic Safety Administration Incidence of Pedestrian and Bicyclist Crashes by Hybrid Electric Passenger Vehicles Technical Report 2009
- European Parliament European Parliament legislative resolution of 6 February 2013 on the proposal for a regulation of the European Parliament and of the Council on the sound level of mo- tor vehicles (COM(2011)0856 - C7-0487/2011 - 2011/0409(COD))
- Young K. and Regan M. A. Intelligent Speed Adaptation: A Review Proceedings of the 2002 Road Safety Research, Policing and Education Conference 2002
- Camacho E. F. and Bordons C. Model Predictive Control Advanced Textbooks in Control and Signal Processing London Springer second 2007
- Rawlings J. B. Tutorial overview of model predictive control IEEE Control Systems Magazine 38 52 2000
- Katriniok A. , Maschuw J. P. , Christen F. , Eckstein , L. and Abel D. Optimal Vehicle Dynamics Control for Combined Longitudinal and Lateral Autonomous Vehicle Guidance European Control Conference 2013 July 17-19, 2013 Zurich, Switzerland 2013
- Attia R. , Daniel J. , Lauffenburger J.-P. , Orjuela R. , and Basset M. Reference Generation and Control Strategy for Automated Vehicle Guidance IEEE 2012 Intelligent Vehicles Symposium 2012
- Frasch J. , Gray A. , Zanon M. , Ferreau H. J. , Sager S. , Borelli F. , and Diehl M. An Auto-Generated Nonlinear MPC Algorithm for Real-Time Obstacle Avoidance of Ground Vehicles European Control Conference 2013 July 17-19, 2013 Zurich, Switzerland 2013
- Anderson S. J. , Peters S. C. , Pilutti T. E. , and Iagnemma K. An optimal-control-based framework for trajectory planning, threat assessment, and semi-autonomous control of passenger vehicles in hazard avoidance scenarios Int. Journal Vehicle Autonomous Systems 8 2010
- Dietsche K.-H. Kraftfahrtechnisches Taschenbuch Studium und Praxis, Wiesbaden Vieweg 2007
- Mitschke M. Dynamik der Kraftfahrzeuge: Antrieb und Bremsung A Berlin Springer 2 1982
- Preda I. , Covaciu D. , and Ciolan G. Cast Down Test - Theoretical and Experimental Approach CONAT 2010 - International Automotive Congress 155 162 2010
- Nocedal J. and Wright S. J. Numerical optimization New York Springer 2nd 2006
- Findeisen R. , Imsland L. , Allgöwer F. , and Foss B. A. State and Output Feedback Nonlinear Model Predictive Control: An Overview European Journal of Control 9 179 195 2003
- Blervaque V. Maps&ADAS - How Digital Maps can Contribute to Road Safety Advanced Microsystems for Automotive Applications 2006
- Baumann G. , Riemer T. , Liedecke C. , Rumbolz P. , and Schmidt A. How to build Europe’s largest eight-axes motion simulator Driving Simulation Conference Paris 2012 2012
- Pitz J. , Nguyen M.-T. , Baumann G. , and Reuss H.-C. Combined Motion of a Hexapod with XY-Table System For Lateral Movements Driving Simulation Conference Paris 2014 2014
- Intel Hard Real time Linux* Using Xenomai* on Intelr Multi-Core Processors White Paper 2009
- Rothermel T. , Pitz J. , Baumann G. , and Reuss H.-C. Untersuchung einer interaktiven Fahrerassistenzfunktion zur sicherheitsoptimierten L¨angsführung von E-Fahrzeugen im Stuttgarter Fahrsimulator 5. AutoTest 2014
- Houska B. , Ferreau H. J. , and Diehl M. An auto-generated real-time iteration algorithm for nonlinear MPC in the microsecond range Automatica 47 10 2279 2285 2011
- Vukov M. , Domahidi A. , Ferreau H. J. , Morari M. , and Diehl M. Auto-generated Algorithms for Nonlinear Model Predictive Control on Long and on Short Horizons Proceedings of the 52nd Conference on Decision and Control (CDC) 2013
- Diehl M. , Bock H. G. , and Schlöder J. P. A Real-Time Iteration Scheme for Nonlinear Optimization in Optimal Feedback Control SIAM Journal on Control and Optimization 43 5 1714 1736 2005
- Ferreau H.J. , Kirches C. , Potschka A. , Bock H.G. , and Diehl M. qpOASES: A parametric active-set algorithm for quadratic programming Mathematical Programming Computation 2014