Japan / Portugal / United Kingdom / New Zealand / / /
Facility
Oxford University / Karlsruhe Institute of Technology / Scalable SLAM building / /
IndustryTerm
block matching search type methods / dense local mapping algorithm / Dense flow algorithms / dense mapping algorithms / reduced search space / coordinate systems / filter-based algorithms / local coordinate systems / lean algorithm / /
Organization
Department of Measurement and Control / US Federal Reserve / Institute of Technology / Oxford University / Department of Engineering Science / IEEE Computer Society / Pattern Analysis and Machine Intelligence / /
Person
Kalman Filters / Hildegard Kuehne / Alexander Bachmann / Bernd Kitt / Raquel Urtasun / Henning Lategahn / Autonomous Ground Vehicles Henning Lategahn / Martin Roser / Benjamin Ranft / Andreas Geiger / /
Product
Altec XT1 Speakers / /
ProgrammingLanguage
MATLAB / C++ / /
ProvinceOrState
Pennsylvania / /
PublishedMedium
IEEE Transactions on Pattern Analysis and Machine Intelligence / The International Journal / /
Technology
Dense flow algorithms / laser / artificial intelligence / locally dense mapping algorithms / published SLAM algorithms / dense stereo V-SLAM algorithm / SLAM algorithm / sparse SLAM algorithm / simulation / EKF SLAM algorithms / filter-based algorithms / EKF SLAM algorithm / computationally lean algorithm / dense local mapping algorithm / presented algorithm / /
Visual SLAM for Autonomous Ground Vehicles Henning Lategahn, Andreas Geiger and Bernd Kitt Abstract— Simultaneous Localization and Mapping (SLAM) and Visual SLAM (V-SLAM) in particular have been an active area of resea