Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/159406
Title: Scene understanding for autonomous vehicles with deep learning
Authors: Wang, Dongying
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Wang, D. (2022). Scene understanding for autonomous vehicles with deep learning. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/159406
Abstract: This project aimed to carry out algorithm which is able to generate semantic images and then fuse the semantic images with point cloud to obtain point cloud with semantic information for the scene understanding tasks. This project can be seen as a base for scene understanding task, which covers a wide range of data designing and processing work. First of all, labeling strategies designed for semantic segmentation aimed to help with scene understanding tasks have been carried out. In addition, for semantic information generation, a semantic segmentation network integrating attention mechanism and all MLP layers upsampling technique was applied. Finally, to get abundant information, the semantic images are fused with the point cloud using an algorithm based on robotics geometric projection theories.
URI: https://hdl.handle.net/10356/159406
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

Files in This Item:
File Description SizeFormat 
Wang Dongying Dissertation.pdf
  Restricted Access
10.85 MBAdobe PDFView/Open

Page view(s)

146
Updated on Jul 12, 2024

Download(s)

1
Updated on Jul 12, 2024

Google ScholarTM

Check

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