Scipediacontent: Scipediacontent moved page Draft Content 297895506 to Kummert et al 2010a

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Scipediacontent moved page Draft Content 297895506 to Kummert et al 2010a

Scipediacontent: Created page with " == Abstract == The recognition and prediction of intersection situations and an accompanying threat assessment are an indispensable skill of future driver assistance systems..."

2021-02-08T09:08:03Z

Created page with " == Abstract == The recognition and prediction of intersection situations and an accompanying threat assessment are an indispensable skill of future driver assistance systems..."

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== Abstract ==

The recognition and prediction of intersection situations and an accompanying threat assessment are an indispensable skill of future driver assistance systems. This study focuses on the recognition of situations involving two vehicles at intersections. For each vehicle, a set of possible future motion trajectories is estimated and rated based on a motion database for a time interval of 2-4 s ahead. Possible situations involving two vehicles are generated by a pairwise combination of these individual motion trajectories. An interaction model based on the mutual visibility of the vehicles and the assumption that a driver will attempt to avoid a collision is used to rate possible situations. The correspondingly favoured situations are classified with a probabilistic framework. The proposed method is evaluated on a real-world differential GPS data set acquired during a test drive of about 10 km, including three road intersections. Our method is typically able to recognise the situation correctly about 1.5-3 s before the last vehicle has passed its minimum distance to the centre of the intersection.

== Original document ==

The different versions of the original document can be found in:

* [https://pub.uni-bielefeld.de/record/2034700 https://pub.uni-bielefeld.de/record/2034700] under the license https://rightsstatements.org/page/InC/1.0/

* [http://xplorestaging.ieee.org/ielx5/5595335/5595735/05597735.pdf?arnumber=5597735 http://xplorestaging.ieee.org/ielx5/5595335/5595735/05597735.pdf?arnumber=5597735],
: [http://dx.doi.org/10.1109/icpr.2010.1029 http://dx.doi.org/10.1109/icpr.2010.1029]

* [https://dblp.uni-trier.de/db/conf/icpr/icpr2010.html#KaferHWKR10 https://dblp.uni-trier.de/db/conf/icpr/icpr2010.html#KaferHWKR10],
: [http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005597735 http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005597735],
: [https://ieeexplore.ieee.org/document/5597735 https://ieeexplore.ieee.org/document/5597735],
: [https://dl.acm.org/citation.cfm?id=1904935.1906215 https://dl.acm.org/citation.cfm?id=1904935.1906215],
: [http://dx.doi.org/10.1109/ICPR.2010.1029 http://dx.doi.org/10.1109/ICPR.2010.1029],
: [http://ieeexplore.ieee.org/document/5597735 http://ieeexplore.ieee.org/document/5597735],
: [https://doi.org/10.1109/ICPR.2010.1029 https://doi.org/10.1109/ICPR.2010.1029],
: [http://hausmilbe.net/Publications/files/Kaefer10a.pdf http://hausmilbe.net/Publications/files/Kaefer10a.pdf],
: [https://academic.microsoft.com/#/detail/2064463770 https://academic.microsoft.com/#/detail/2064463770]

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Kummert et al 2010a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 297895506 to Kummert et al 2010a

Scipediacontent: Created page with " == Abstract == The recognition and prediction of intersection situations and an accompanying threat assessment are an indispensable skill of future driver assistance systems..."