Vanishing point detection for self-driving car using harmony search algorithm
- Authors
- Moon, Yoon Young; Geem, Zong Woo; Han, Gi-Tae
- Issue Date
- Aug-2018
- Publisher
- ELSEVIER SCIENCE BV
- Keywords
- Self-driving car; Autonomous car; Lane detection; Vanishing point; RANSAC; Harmony search
- Citation
- SWARM AND EVOLUTIONARY COMPUTATION, v.41, pp.111 - 119
- Journal Title
- SWARM AND EVOLUTIONARY COMPUTATION
- Volume
- 41
- Start Page
- 111
- End Page
- 119
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/3526
- DOI
- 10.1016/j.swevo.2018.02.007
- ISSN
- 2210-6502
- Abstract
- Self-driving or autonomous vehicles require an ability to detect road lanes. In order to do so, a vanishing point should be first detected because the vanishing point exists on the extended lines of road lanes. For detecting the vanishing point, a random sample consensus (RANSAC) algorithm has been generally utilized. However, the performance of RANSAC is sometimes not so good but fluctuated. Thus, this study proposes a new approach to estimate the vanishing point using a harmony search (HS) algorithm. Results show that HS stably estimates vanishing points with respect to statistics when compared with RANSAC. We hope this model to be utilized in self-driving car in the future.
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Collections - IT융합대학 > 컴퓨터공학과 > 1. Journal Articles
- IT융합대학 > 에너지IT학과 > 1. Journal Articles
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