Scipediacontent: Scipediacontent moved page Draft Content 129460447 to Lorenz et al 2015a

2021-01-28T23:23:21Z

Scipediacontent moved page Draft Content 129460447 to Lorenz et al 2015a

Scipediacontent: Created page with " == Abstract == Modern automated and cooperative driver assistance systems (CoDAS) rely deeply on the position estimation. Regardless of absolute positioning accuracy, the re..."

2021-01-28T23:23:17Z

Created page with " == Abstract == Modern automated and cooperative driver assistance systems (CoDAS) rely deeply on the position estimation. Regardless of absolute positioning accuracy, the re..."

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== Abstract ==

Modern automated and cooperative driver assistance systems (CoDAS) rely deeply on the position estimation. Regardless of absolute positioning accuracy, the relative position in regard to driving environment and other vehicles needs to be of high quality to enable sophisticated functions. Global Navigation Satellite Systems (GNSS) fulfill this demand only partially. In this paper we present an algorithm to accurately infer the driving lane by utilizing Dedicated Short Range Communication (DSRC) and map data alone. We evaluate our approach against simulated and real-life data from Europes largest cooperative vehicle Field Operational Test (FOT): simTD. This lane detection algorithm will be an enabler for CoDAS functions like collaborative driving and merging developed in the TEAM IP project.

== Original document ==

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

* [http://publica.fraunhofer.de/documents/N-383050.html http://publica.fraunhofer.de/documents/N-383050.html]

* [http://xplorestaging.ieee.org/ielx7/7307301/7312804/07313444.pdf?arnumber=7313444 http://xplorestaging.ieee.org/ielx7/7307301/7312804/07313444.pdf?arnumber=7313444],
: [http://dx.doi.org/10.1109/itsc.2015.352 http://dx.doi.org/10.1109/itsc.2015.352]

* [https://dblp.uni-trier.de/db/conf/itsc/itsc2015.html#LorenzSSR15 https://dblp.uni-trier.de/db/conf/itsc/itsc2015.html#LorenzSSR15],
: [https://www.collaborative-team.eu/downloads/get/Recursive_state_estimation_for_lane_detection.pdf https://www.collaborative-team.eu/downloads/get/Recursive_state_estimation_for_lane_detection.pdf],
: [https://ieeexplore.ieee.org/document/7313444 https://ieeexplore.ieee.org/document/7313444],
: [https://trid.trb.org/view/1406162 https://trid.trb.org/view/1406162],
: [https://academic.microsoft.com/#/detail/1943969535 https://academic.microsoft.com/#/detail/1943969535]

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Lorenz et al 2015a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 129460447 to Lorenz et al 2015a

Scipediacontent: Created page with " == Abstract == Modern automated and cooperative driver assistance systems (CoDAS) rely deeply on the position estimation. Regardless of absolute positioning accuracy, the re..."