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

Theoretical background and application of multiple goal pursuit trajectory follower. (2020). Hungarian Journal of Industry and Chemistry, 48(1), 11-17. https://doi.org/10.33927/hjic-2020-03