Please use this identifier to cite or link to this item:
Title: Simultaneous localization and mapping (SLAM) by using multiple cameras
Authors: He, Calvin Jia Jie
Keywords: Engineering::Computer science and engineering::Computer systems organization::Computer system implementation
Issue Date: 2021
Publisher: Nanyang Technological University
Source: He, C. J. J. (2021). Simultaneous localization and mapping (SLAM) by using multiple cameras. Final Year Project (FYP), Nanyang Technological University, Singapore.
Project: SCSE20-0088
Abstract: As global warming is becoming more apparent, more natural disasters are occuring at an alarming rate, one of the most deadly disaster is earthquakes. As cities are laid to ruin, more rescuers are risking their lives than ever before. Different ideas have been introduced to help increase the safety and response, one of them is robots. Robots are mostly remote controlled and viewed through cameras, but the scene of robot SLAM has emerged recently and gaining traction among researchers. Cameras have been around for a very long time, but in the world of SLAM, they are not regarded as the best sensors to use. As technology improves, cameras these days are becoming more powerful and cheaper at the same time. In this paper, we will evaluate the readiness of only stereo cameras with different \out-of-the-box" SLAM algorithms to determine the viability of employing robots with SLAM that can safely search buildings and relay information to the user at the same time. We will be using the Jetson Nano B01 as the platform and two Raspberry Pi camera modules as the camera sensors, this allows us to evaluate a mobile, embedded GPU computer instead of an high-performance workstation.
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
  Restricted Access
471.66 kBAdobe PDFView/Open

Page view(s)

Updated on Jun 27, 2022


Updated on Jun 27, 2022

Google ScholarTM


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