Theoretical background and application of multiple goal pursuit trajectory follower

Authors

  • Ernő Horváth
  • Claudiu Pozna
  • Péter Kőrös
  • Csaba Hajdu
  • Áron Ballagi

DOI:

https://doi.org/10.33927/hjic-2020-03

Keywords:

autonomous, self-driving, algorithm, trajectory-tracking

Abstract

Autonomous and self-driving technology is a rapidly emerging field among automotive-related companies and academic research institutes. The main challenges include sensory perception, prediction, trajectory planning and trajectory execution. The current paper introduces a design strategy and the mathematical background of the optimization problem with regard to the multiple goal pure pursuit algorithm. The aim of the algorithm is to provide a low degree of computational complexity and, therefore, a fast trajectory-tracking approach. Finally, in terms of our approach, not only the theoretical questions but the application challenges will be described as well.

Author Biographies

Ernő Horváth

Department of Computer Engineering, Széchenyi István University, Egyetem tér 1, H-9026 Győr, HUNGARY, Research Center of Vehicle Industry, Széchenyi István University, Egyetem tér 1, H-9026 Győr, HUNGARY

Claudiu Pozna

Faculty of Electrical Engineering and Computer Science, Transilvania University of Brasov, B-dul Eroilor nr. 29, 500036 Brasov, ROMANIA

Péter Kőrös

Research Center of Vehicle Industry, Széchenyi István University, Egyetem tér 1, H-9026 Győr, HUNGARY

Csaba Hajdu

Research Center of Vehicle Industry, Széchenyi István University, Egyetem tér 1, H-9026 Győr, HUNGARY

Áron Ballagi

Research Center of Vehicle Industry, Széchenyi István University, Egyetem tér 1, H-9026 Győr, HUNGARY

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Published

2020-07-06

How to Cite

Horváth, E., Pozna, C., Kőrös, P., Hajdu, C., & Ballagi, Áron. (2020). Theoretical background and application of multiple goal pursuit trajectory follower. Hungarian Journal of Industry and Chemistry, 48(1), 11–17. https://doi.org/10.33927/hjic-2020-03