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(searched for: doi:10.2514/1.54107)
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Ren Tianzhu, Zhou Rui, Xia Jie, Dong Zhuoning
2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC) pp 140-145; https://doi.org/10.1109/cgncc.2016.7828772

Abstract:
The current two-dimension path planning technologies are adequate for semi-autonomous Unmanned Aerial Vehicles (UAV) that operate in a relatively structured environment. However, for UAVs in a complicated uncertain environment the present techniques are inadequate. A three-dimensional (3D) path planning algorithm of UAV which based on improved A* algorithm is proposed in this paper in order to solve problem of path planning for UAV in complex environment. First, we attempt to extend the search space of traditional A* algorithm to three-dimension. Then we make the heuristic algorithm suitable for UAV with various constraints. Finally, in simulation experiments, the effectiveness of improved A* algorithm is verified concerning the accurateness, safety and the adaptability.
Intelligent Systems, Control and Automation: Science and Engineering pp 171-244; https://doi.org/10.1007/978-3-319-03707-3_3

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