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.
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Sheng, J., He, G., Guo, W., Li, J. (2010). An Improved Artificial Potential Field Algorithm for Virtual Human Path Planning. In: Zhang, X., Zhong, S., Pan, Z., Wong, K., Yun, R. (eds) Entertainment for Education. Digital Techniques and Systems. Edutainment 2010. Lecture Notes in Computer Science, vol 6249. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14533-9_60
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DOI: https://doi.org/10.1007/978-3-642-14533-9_60
Publisher Name: Springer, Berlin, Heidelberg
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