Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/148047
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHe, Calvin Jia Jieen_US
dc.date.accessioned2021-04-22T06:42:20Z-
dc.date.available2021-04-22T06:42:20Z-
dc.date.issued2021-
dc.identifier.citationHe, C. J. J. (2021). Simultaneous localization and mapping (SLAM) by using multiple cameras. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/148047en_US
dc.identifier.urihttps://hdl.handle.net/10356/148047-
dc.description.abstractAs 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.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.relationSCSE20-0088en_US
dc.subjectEngineering::Computer science and engineering::Computer systems organization::Computer system implementationen_US
dc.titleSimultaneous localization and mapping (SLAM) by using multiple camerasen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorLoke Yuan Renen_US
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Science)en_US
dc.contributor.supervisoremailyrloke@ntu.edu.sgen_US
item.grantfulltextrestricted-
item.fulltextWith Fulltext-
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
Files in This Item:
File Description SizeFormat 
FYP_REPORT_CALVIN_HE_JIA_JIE.pdf
  Restricted Access
471.66 kBAdobe PDFView/Open

Page view(s)

109
Updated on Jul 1, 2022

Download(s)

11
Updated on Jul 1, 2022

Google ScholarTM

Check

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