Abstract
A new obstacle avoidance method for autonomous vehicles called obstacle-dependent Gaussian potential field (ODG-PF) was designed and implemented. It detects obstacles and calculates the likelihood of collision with them. In this paper, we present a novel attractive field and repulsive field calculation method and direction decision approach. Simulations and the experiments were carried out and compared with other potential field-based obstacle avoidance methods. The results show that ODG-PF performed the best in most cases.
| Original language | English |
|---|---|
| Article number | 5041401 |
| Journal | Journal of Advanced Transportation |
| Volume | 2018 |
| DOIs | |
| Publication status | Published - 2018 |
Bibliographical note
Funding Information:This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2016R1D1A1B01016071 and NRF-2016R1D1A1B 03936281) and also in part by the Brain Korea 21 Plus Project in 2018.
Publisher Copyright:
© 2018 Jang-Ho Cho et al.
ASJC Scopus subject areas
- Automotive Engineering
- Economics and Econometrics
- Mechanical Engineering
- Computer Science Applications
- Strategy and Management