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AIR学术沙龙第36期|人工智能医疗保健和虚拟世界的可穿戴传感器和触觉技术
先立后破?实现双碳目标
迎接生物药制造的第四次浪潮-
支撑未来海量资源接入,电力系统通用信息模型(CIM)发展探讨
报告题目:
Shortest paths among obstacles in the plane
 报告人:
Haitao Wang
University of Notre Dame, USA
报告时间:
2011-09-19 15:30
报告地点:
FIT 1-222
主办单位:
交叉信息研究院
  简介:

Short Bio:

Haitao Wang received his Ph.D in Computer Science from University of Notre Dame, Indiana, USA, in May 2010. Since then, he has been a Research Assistant Professor in Department of Computer Science and Engineering at the Uiversity of Notre Dame. His research focuses on algorithm design and analysis in computational geometry.

Abstract:

Given a set of obstacles and two points s and t in the plane, a fundamental problem in computational geomtry is to find a shortest path from s to t that avoids the obstacles. The problem has been studied extensively. Various versions of this problem has been considered. We give efficient algorithms for the following two versions. The first version is the L1 polygonal version where all obstacles are polygonal and the length of a path is measured by L1 metric. The second version is the Euclidean curved version where the obstacles may have curved boundaries and the length of a path is measured by Euclidean metric.

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