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Igor Cvišić

2 accepted papers

2023

MOFT: Monocular odometry based on deep depth and careful feature selection and tracking

ICRA 2023poster

Autonomous localization in unknown environments is a fundamental problem in many emerging fields and the monocular visual approach offers many advantages, due to being a rich source of information and avoiding comparatively more complicated setups and multisensor calibration. Deep learning opened ne…

Cited by 7SourceScholar
2017

Revival of filtering based SLAM? Exactly sparse delayed state filter on Lie groups

IROS 2017poster

Simultaneous localization and mapping (SLAM) is a core element of every autonomous mobile robot. The underlying engine of a SLAM system is its back-end, which aims at optimally estimating the trajectory and map of the environment based on sensor data abstractions. Over the past decade, SLAM solution…

Cited by 5SourceScholar