A Real-Time Obstacle Avoidance Method for Autonomous Vehicles Using an Obstacle-Dependent Gaussian Potential Field
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Cho, Jang-Ho | - |
dc.contributor.author | Pae, Dong-Sung | - |
dc.contributor.author | Lim, Myo-Taeg | - |
dc.contributor.author | Kang, Tae-Koo | - |
dc.date.accessioned | 2021-12-19T09:40:52Z | - |
dc.date.available | 2021-12-19T09:40:52Z | - |
dc.date.created | 2021-08-30 | - |
dc.date.issued | 2018 | - |
dc.identifier.issn | 0197-6729 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/132157 | - |
dc.description.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. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | WILEY-HINDAWI | - |
dc.subject | COLLISION-AVOIDANCE | - |
dc.subject | MOBILE ROBOTS | - |
dc.subject | ALGORITHM | - |
dc.title | A Real-Time Obstacle Avoidance Method for Autonomous Vehicles Using an Obstacle-Dependent Gaussian Potential Field | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lim, Myo-Taeg | - |
dc.identifier.doi | 10.1155/2018/5041401 | - |
dc.identifier.scopusid | 2-s2.0-85053150304 | - |
dc.identifier.wosid | 000443637900001 | - |
dc.identifier.bibliographicCitation | JOURNAL OF ADVANCED TRANSPORTATION | - |
dc.relation.isPartOf | JOURNAL OF ADVANCED TRANSPORTATION | - |
dc.citation.title | JOURNAL OF ADVANCED TRANSPORTATION | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Transportation | - |
dc.relation.journalWebOfScienceCategory | Engineering, Civil | - |
dc.relation.journalWebOfScienceCategory | Transportation Science & Technology | - |
dc.subject.keywordPlus | COLLISION-AVOIDANCE | - |
dc.subject.keywordPlus | MOBILE ROBOTS | - |
dc.subject.keywordPlus | ALGORITHM | - |
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