Name
Abstract | ||
|---|---|---|
An improved algorithm based on bio-inspired neural network is proposed for Autonomous Underwater Vehicle (AUV) real-time path planning in three-dimensional (3D) environment in this paper. The algorithm has made an improvement in the shunting equation of the neural network model which is conductive to path planning especially in dynamic environments. The proposed approach has high efficiency and good real-time performance. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/ICCE-TW.2016.7520935 | 2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) |
Keywords | DocType | ISBN |
3D real-time path planning,autonomous underwater vehicle,AUV,bioinspired neural network,shunting equation | Conference | 978-1-5090-2074-4 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianjun Ni | 1 | 20 | 3.86 |
| Liuying Wu | 2 | 0 | 0.34 |
| Shihao Wang | 3 | 62 | 13.33 |
| Kang Wang | 4 | 6 | 7.28 |