Performance Evaluation of a Track to Track Sensor Fusion Algorithm
Konferenz: CNNA 2018 - The 16th International Workshop on Cellular Nanoscale Networks and their Applications
28.08.2018 - 30.08.2018 in Budapest, Hungary
Tagungsband: CNNA 2018
Seiten: 2Sprache: EnglischTyp: PDF
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Autoren:
Kovacs, Lorant (Pazmany Peter Catholic University, Faculty of Information Technology and Bionics, Budapest, Hungary)
Lindenmaier, Laszlo; Nemeth, Huba; Tihanyi, Viktor (Budapest University of Technology and Economics, Department of Automotive Technologies, Hungary)
Zarandy, Akos (Pazmany Peter Catholic University, Faculty of Information Technology and Bionics, Budapest, Hungary & Computer and Automation Research Institute of the Hungarian Academy of Sciencies (MTA-SZTAKI), Computational Optical Sensing and Processing Laboratory, Hungary)
Inhalt:
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.