liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Statistical threat assessment for general road scenes using Monte Carlo sampling: Extended version of "Threat assessment of general road scenes using Monte Carlo sampling"
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Autonomous Systems and Sensing Technology, National ICT Australia Limited, Canberra, Australia.
2006 (English)In: Proceedings of the IEEE Intelligent Transportation Systems, 2006Conference paper (Refereed)
Abstract [en]

A stochastic threat assessment algorithm for general road scenes is presented. Vehicles behave in a manner which includes a desire to follow their intended paths comfortably and to avoid colliding with other objects. In particular, this can be used to detect indirect threats from objects that are not on a direct collision course, but may be forced into a collision course by the traffic situation. An example is when a vehicle has to swerve to avoid an obstacle and because of that the vehicle itself becomes a threat to another vehicle. The vehicles are on a direct collision course from the beginning, but the situation still poses a threat because of the obstacle. Control inputs of other vehicles are modelled as stochastic variables and the resulting statistical expressions are solved using Monte Carlo sampling. In any Monte Carlo method there is always a trade-off between accuracy, i.e., number of samples, and computational load. A further contribution of this work is a method to create denser sample sets without increasing computational load

Place, publisher, year, edition, pages
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-14305DOI: 10.1109/ITSC.2006.1707381OAI: diva2:23163
Available from: 2007-02-27 Created: 2007-02-27 Last updated: 2009-02-17

Open Access in DiVA

No full text

Other links

Publisher's full textLink to Ph.D. thesis

Search in DiVA

By author/editor
Eidehall, Andreas
By organisation
Automatic ControlThe Institute of Technology
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 115 hits
ReferencesLink to record
Permanent link

Direct link