Title data
Gerdts, Matthias ; Xausa, Ilaria:
Avoidance trajectories using reachable sets and parametric sensitivity analysis.
In:
Hömberg, Dietmar ; Tröltzsch, Fredi (Hrsg.): System Modeling and Optimization : 25th IFIP TC 7 Conference, CSMO 2011, Berlin, Germany, September 1216, 2011. Revised Selected Papers. 
Berlin–Heidelberg
: Springer
,
2013
.  pp. 491500
.  (IFIP Advances in Information and Communication Technology
; 391
)
ISBN 9783642360619
DOI: https://doi.org/10.1007/9783642360626_49
Review: 
Related URLs
Project information
Project title: 



Project financing: 
7. Forschungsrahmenprogramm für Forschung, technologische Entwicklung und Demonstration der Europäischen Union 
Abstract in another language
The article suggests a conceptual modelbased simulation method with the aim to detect collision of cars in allday road traffic. The benefit of the method within a driver assistance system would be twofold. Firstly, unavoidable accidents could be detected and appropriate actions like full braking maneuvers could be initiated in due course. Secondly, in case of an avoidable accident the algorithm is able to suggest an evasion trajectory that could be tracked by a future active steering driver assistance system. The algorithm exploits numerical optimal control techniques and reachable set analysis. A parametric sensitivity analysis is employed to investigate the influence of inaccurate sensor measurements.
Further data
Item Type:  Article in a book 

Refereed:  Yes 
Additional notes:  A preliminary version of the paper was presented at the 25th IFIP TC 7 Conference in September 2011. 
Keywords:  driver assistance; collision avoidance; optimal control; reachable sets; sensitivity analysis 
Subject classification:  Mathematics Subject Classification Code: 49M30 (90C31 49N90) 
Institutions of the University:  Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics V (Applied Mathematics) Profile Fields > Advanced Fields > Nonlinear Dynamics Faculties Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics Profile Fields Profile Fields > Advanced Fields 
Result of work at the UBT:  No 
DDC Subjects:  500 Science > 510 Mathematics 
Date Deposited:  30 Mar 2015 06:22 
Last Modified:  30 Mar 2015 06:22 
URI:  https://eref.unibayreuth.de/id/eprint/9434 