@inproceedings{f8295d7183c14fa9a36a6d86853428d0,
title = "An improved artificial potential field algorithm for virtual human path planning",
abstract = "He artificial potential field (APF) algorithm is widely used for virtual human path planning. Two concerned problems of this algorithm are chiefly introduced, which are the goal nonreachable problem with obstacles nearby and the local minimum problem. An improved repulsive force field function is used to solve the goal nonreachable problem. And an intermediate target point based method is proposed to solve the local minimum problem. Three possible cases of the problem are analyzed and the shortest path is obtained. VC ++ based experiment simulations show that the improved algorithm is effective.",
keywords = "Path planning, artificial potential field, intermediate target point, local minimum",
author = "Junwen Sheng and Gaoqi He and Weibin Guo and Jianhua Li",
year = "2010",
doi = "10.1007/978-3-642-14533-9\_60",
language = "英语",
isbn = "3642145329",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "592--601",
booktitle = "Entertainment for Education",
note = "5th International Conference on E-learning and Games, Edutainment 2010 ; Conference date: 16-08-2010 Through 18-08-2010",
}