TDPP-Net : achieving three-dimensional path planning via a deep neural network architecture
Path planning plays a significant role in autonomous navigation for robots in complex environments and hence has been extensively studied for decades. However, the computational time of most existing methods are dependent on the scale and complexity of environment, which leads to the compromise betw...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/141231 |