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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Wu, Keyu, Mahdi Abolfazli Esfahani, Yuan, Shenghai, Wang, Han
Άλλοι συγγραφείς: School of Electrical and Electronic Engineering
Μορφή: Journal Article
Γλώσσα:English
Έκδοση: 2020
Θέματα:
Διαθέσιμο Online:https://hdl.handle.net/10356/141231