A method for simultaneous localization and mapping (SLAM) employs dual event-based cameras. Event streams from the cameras are processed by an image processing system to stereoscopically detect surface points in an environment, dynamically compute pose of a camera as it moves, and concurrently ...
starting from the unknown location of the unknown environment, the robot locates its own position and attitude through repeated observation of environmental features in the movement process, and then builds an incremental map of the surrounding environment according to its own position, so as to achie...
Simultaneous localization and mapping (SLAM) is a process where an autonomous vehicle builds a map of an unknown environment while concurrently generating an estimate for its location. This book is concerned with computationally efficient solutions to the large scale SLAM problems using exactly sparse ...
SLAM (Simultaneous Localization and Mapping) is a technology used with autonomous vehicles that enables localization and environment mapping to be carried out simultaneously. SLAM algorithms allow moving vehicles to map out unknown environments.
(thispaper)isconcernedwithrecentadvancesincomputationalmethodsandinnewfor-mulationsoftheSLAMproblemforlargescaleandcomplexenvironments.I.IntroductionSLAMistheprocessbywhichamobilerobotcanbuildamapoftheenvironmentandatthesametimeusethismaptocomputeit’slocation.ThepastdecadehasseenrapidandexcitingprogressinsolvingtheSLAM...
andatthesametimeitwishestolocalizeitsel us-ingitsmap.Theuseo SLAMproblemscanbemotivatedintwodi erentways:onemightbein-terestedindetailedenvironmentmodels,oronemightseektomaintainanaccuratesenseo amo-bilerobot’slocation.SLAMservesbotho thesepurposes.Wereviewthethreemajorparadigms romwhichmanypublishedmethods ...
Data association is particularly importantwhen a vehicle returns to a previously mapped region after aimultaneous localization and mapping (SLAM) is theprocess by which a mobile robot can build a map of theenvironment and, at the same time, use this map tocompute its location. The past decade...
专利内容由知识产权出版社提供 专利名称:SIMULTANEOUS LOCATION AND MAPPING (SLAM) USING DUAL EVENT CAMERAS 发明人:SEBASTIEN DERHY,LIOR ZAMIR,NATHAN HENRI LEVY 申请号:US17176500 申请日:20210216 公开号:US202101904 97A1 公开日:20210624 专利附图: 摘要:A method for simultaneous localization and mapping (...
When a robot moves, these data points help measure how far it’s gone relative to its previous location and where it is located on a map. Motion Estimation In addition, what’s known as wheel odometry takes into account the rotation of a robot’s wheels to help measure how far it’s...
JUNE2006IEEERobotics&AutomationMagazine99TUTORIALSimultaneousLocalizationandMapping:PartIBYHUGHDURRANT-WHYTEANDTIMBAILEYThesimultaneouslocalizationandmapping(SLAM)problemasksifitispossibleforamobilerobottobeplacedatanunknownlocationinanunknownenvi-ronmentandfortherobottoincrementallybuildaconsistentmapofthisenvironmentwhilesim...