Simultaneous localization and mapping for vehicles using ORB-SLAM2

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dc.contributor.authorAndersson, Marcus
dc.contributor.authorBaerveldt, Martin
dc.contributor.departmentChalmers tekniska högskola / Institutionen för mekanik och maritima vetenskapersv
dc.contributor.departmentChalmers University of Technology / Department of Mechanics and Maritime Sciencesen
dc.date.accessioned2019-07-03T14:56:10Z
dc.date.available2019-07-03T14:56:10Z
dc.date.issued2018
dc.description.abstractThis thesis details work developing a containerized version of ORB-SLAM2 implemented in the open source software framework OpenDLV as well as testing it both on established datasets as well as on gathered data in a real traffic scenario in the Gothenburg area. Parallel to the real traffic scenarios this thesis also evaluates the feasibility for ORB-SLAM2 to be run on a formula student race car, due to the authors involvement in the Chalmers formula student driverless project which will compete with an autonomous race car in the formula student germany competition. The thesis also evaluates ORB-SLAM2 as a SLAM solution on a regular car and the strengths and weaknesses of the system in that area.
dc.identifier.urihttps://hdl.handle.net/20.500.12380/256291
dc.language.isoeng
dc.relation.ispartofseriesMaster's thesis - Department of Mechanics and Maritime Sciences : 2018:85
dc.setspec.uppsokTechnology
dc.subjectInformations- och kommunikationsteknik
dc.subjectTransport
dc.subjectBildanalys
dc.subjectRobotteknik och automation
dc.subjectInbäddad systemteknik
dc.subjectFarkostteknik
dc.subjectInformation & Communication Technology
dc.subjectTransport
dc.subjectImage analysis
dc.subjectRobotics
dc.subjectEmbedded Systems
dc.subjectVehicle Engineering
dc.titleSimultaneous localization and mapping for vehicles using ORB-SLAM2
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster Thesisen
dc.type.uppsokH
local.programmeSystems, control and mechatronics (MPSYS), MSc
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