Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/157553
Title: Dynamic object tracking with 3D depth data
Authors: Ng, Xuan Yi
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Ng, X. Y. (2022). Dynamic object tracking with 3D depth data. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157553
Project: B2003-211
Abstract: I am joining the Robotics & Autonomous Systems department (RAS) in I2R research institute at A*STAR, which comprises three units: mobility, perception, and manipulation. The team I am working with focuses on research on mapping and localisation, which is categorized under mobility unit. This document is the final report for the final year project titled ‘Dynamic Object Tracking with 3D Depth Data’. The aim of this final report is to note down the progress throughout the Final Year Project and achievements of the project, as well as issues faced. The main objective of this project is to benchmark state of the art algorithms which perform semantic segmentation on 3D data, to tailor it for our specific use-case, and integrate it to a mapping and localisation pipeline for mobile robots. Eventually, it will be tested to evaluate if it can improve performances.
URI: https://hdl.handle.net/10356/157553
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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