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Preprints of the Keldysh Institute of Applied Mathematics, 2020, 127, 17 pp.
DOI: https://doi.org/10.20948/prepr-2020-127 (Mi ipmp2916) 		 
Methods and algorithms for local navigation of autonomous vehicles on a multi-lane road, simulation architecture

V. V. Pavlovsky, A. V. Podoprosvetov, E. V. Pavlovsky
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DOI: https://doi.org/10.20948/prepr-2020-127
Abstract: This paper describes a system for modeling traffic on a multi-lane road, designed to work out the lane changing algorithms for an autonomous car “Niva” with a removable automatic control system. A survey of such algorithms on a multi-lane road is given and methods for making decisions on multi-lane road without crossing intersections are proposed. In this work the description of the simulator and the analysis of experimental data for the method are presented.
Keywords: computer simulator, control system, autonomous car, robotic car, lane change.
Funding agency Grant number
Russian Foundation for Basic Research 18-07-00127
19-01-00123
19-08-01159
Document Type: Preprint
UDC: 531.1
Language: Russian
Citation: V. V. Pavlovsky, A. V. Podoprosvetov, E. V. Pavlovsky, “Methods and algorithms for local navigation of autonomous vehicles on a multi-lane road, simulation architecture”, Keldysh Institute preprints, 2020, 127, 17 pp.
Citation in format AMSBIB
\Bibitem{PavPodPav20}
\by V.~V.~Pavlovsky, A.~V.~Podoprosvetov, E.~V.~Pavlovsky
\paper Methods and algorithms for local navigation of autonomous vehicles on a multi-lane road, simulation architecture
\jour Keldysh Institute preprints
\yr 2020
\papernumber 127
\totalpages 17
\mathnet{http://mi.mathnet.ru/ipmp2916}
\crossref{https://doi.org/10.20948/prepr-2020-127}
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    		Препринты Института прикладной математики им. М. В. Келдыша РАН
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