Performance evaluation of a track to track sensor fusion algorithm

Lóránt Kovács, László Lindenmaier, Huba Németh, Viktor Tihanyi, Ákos Zarándy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The development of autonomous vehicles requires algorithms responsible for constructing the local surroundings of the vehicles. The algorithm responsible for creating a common model from the sensors’ detection is the so called sensor fusion method. The performance of these methods should be compared to each other, using a common metric, in order to select the proper algorithmic approach, sensor set or sensor placement. This paper describes the evaluation of a track to track sensor fusion algorithm on a dataset recorded on highways.

Original languageEnglish
Title of host publicationCNNA 2018 - 16th International Workshop on Cellular Nanoscale Networks and Their Applications
EditorsAkos Zarandy
PublisherIEEE Computer Society
Pages90-91
Number of pages2
ISBN (Electronic)9783800747665
Publication statusPublished - Jan 1 2018
Event16th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA 2018 - Budapest, Hungary
Duration: Aug 28 2018Aug 30 2018

Publication series

NameInternational Workshop on Cellular Nanoscale Networks and their Applications
Volume2018-August
ISSN (Print)2165-0160
ISSN (Electronic)2165-0179

Conference

Conference16th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA 2018
CountryHungary
CityBudapest
Period8/28/188/30/18

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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  • Cite this

    Kovács, L., Lindenmaier, L., Németh, H., Tihanyi, V., & Zarándy, Á. (2018). Performance evaluation of a track to track sensor fusion algorithm. In A. Zarandy (Ed.), CNNA 2018 - 16th International Workshop on Cellular Nanoscale Networks and Their Applications (pp. 90-91). (International Workshop on Cellular Nanoscale Networks and their Applications; Vol. 2018-August). IEEE Computer Society.