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논문 기본 정보

자료유형
학술저널
저자정보
Je-Kwan Park (Sungkyunkwan University) 정태명 (성균관대학교)
저널정보
한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제16권 제6호
발행연도
2020.1
수록면
1,324 - 1,342 (19page)

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초록· 키워드

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Various modified algorithms of rapidly-exploring random tree (RRT) have been previously proposed. However, compared to the RRT algorithm for collision avoidance with global and static obstacles, it is not easyto find a collision avoidance and local path re-planning algorithm for dynamic obstacles based on the RRTalgorithm. In this study, we propose boundary-RRT*, a novel-algorithm that can be applied to aerial vehiclesfor collision avoidance and path re-planning in a three-dimensional environment. The algorithm not onlybounds the configuration space, but it also includes an implicit bias for the bounded configuration space. Therefore, it can create a path with a natural curvature without defining a bias function. Furthermore, theexploring space is reduced to a half-torus by combining it with simple right-of-way rules. When defining thedistance as a cost, the proposed algorithm through numerical analysis shows that the standard deviation (σ)approaches 0 as the number of samples per unit time increases and the length of epsilon ε (maximum length ofan edge in the tree) decreases. This means that a stable waypoint list can be generated using the proposedalgorithm. Therefore, by increasing real-time performance through simple calculation and the boundary of theconfiguration space, the algorithm proved to be suitable for collision avoidance of aerial vehicles and replanningof local paths.

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