Vision-based Path Planning and Control of a Mobile Robot Based on DNN Object Recognition and ORB-SLAM2
碩士 === 國立交通大學 === 電控工程研究所 === 107 === This thesis proposes a path planning and control of a mobile robot based on Deep Neural Networks (DNN) object recognition and ORB-SLAM2. For the application of robotic vacuum cleaner, an embedded system with small size and low power consumption is required. An R...
Main Authors: | Ou, Song-Qing, 歐松青 |
---|---|
Other Authors: | Song, Kai-Tai |
Format: | Others |
Language: | zh-TW |
Published: |
2019
|
Online Access: | http://ndltd.ncl.edu.tw/handle/fu76vv |
Similar Items
-
Research on visual SLAM method of mobile robot based on improved ORB algorithm
by: Cheng Yi, et al.
Published: (2019-01-01) -
Rapid Relocation Method for Mobile Robot Based on Improved ORB-SLAM2 Algorithm
by: Guanci Yang, et al.
Published: (2019-01-01) -
A Study on DNN-based Mandarin-speech Recognition
by: Ou, Li-An, et al.
Published: (2015) -
GPS-SLAM: An Augmentation of the ORB-SLAM Algorithm
by: Dániel Kiss-Illés, et al.
Published: (2019-11-01) -
2D Indoor Occupancy Grid Mapping for Mobile Robotic Platforms Using ROS-based ORB-SLAM2
by: ALBAN NARANJO, RUBEN EMILIANO, et al.
Published: (2019)