A Real-Time Obstacle Avoidance Method for Autonomous Vehicles Using an Obstacle-Dependent Gaussian Potential Field
Joint Authors
Lim, Myo-Taeg
Cho, Jang-Ho
Pae, Dong-Sung
Kang, Tae-Koo
Source
Journal of Advanced Transportation
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-08-23
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Cho, Jang-Ho& Pae, Dong-Sung& Lim, Myo-Taeg& Kang, Tae-Koo. 2018. A Real-Time Obstacle Avoidance Method for Autonomous Vehicles Using an Obstacle-Dependent Gaussian Potential Field. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1181344
Modern Language Association (MLA)
Cho, Jang-Ho…[et al.]. A Real-Time Obstacle Avoidance Method for Autonomous Vehicles Using an Obstacle-Dependent Gaussian Potential Field. Journal of Advanced Transportation No. 2018 (2018), pp.1-15.
https://search.emarefa.net/detail/BIM-1181344
American Medical Association (AMA)
Cho, Jang-Ho& Pae, Dong-Sung& Lim, Myo-Taeg& Kang, Tae-Koo. A Real-Time Obstacle Avoidance Method for Autonomous Vehicles Using an Obstacle-Dependent Gaussian Potential Field. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1181344
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1181344
