Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/78098
Title: Image-based deep learning algorithm for coarse multi-robot localization
Authors: Ye, Yingjian
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics
Issue Date: 2019
Abstract: Multi-robot systems are of great importance for tasks that require more robust and faster operation. It can be applied to different scenarios such as search and rescue, modern agriculture, self-driving vehicles and more. The principle work is accurately locating each robot’s position in the global coordinate frame, so that the map generated by each robot can be continuously fused together. In this paper, an approach on helping the principal researchers for collecting and pre-processing image data has been done. Furthermore, the author uses a convolutional neural network (CNN) architecture to train the model and correctly recognize locations under dynamic environment.
URI: http://hdl.handle.net/10356/78098
Schools: School of Electrical and Electronic Engineering 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
FYP_Report-已转档.pdf
  Restricted Access
2.37 MBAdobe PDFView/Open

Page view(s)

317
Updated on Jul 20, 2024

Download(s) 50

44
Updated on Jul 20, 2024

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.