MOFT: Monocular odometry based on deep depth and careful feature selection and tracking
Karlo Koledić,Igor Cvišić,Ivan Marković,Ivan Petrović,Karlo Koledić,Igor Cvišić,Ivan Marković,Ivan Petrović
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 new venues for monocular odometry yielding not only end-to-end approaches but also hybrid methods comb...
