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Found 7 papers, 3 papers with code
H-SLAM: Hybrid Direct-Indirect Visual SLAM
The recent success of hybrid methods in monocular odometry has led to many attempts to generalize the performance gains to hybrid monocular SLAM.
Arbitrary Shape Text Detection using Transformers
At its core, our proposed method leverages a bounding box loss function that accurately measures the arbitrary detected text regions' changes in scale and aspect ratio.
Causal Discovery from Sparse Time-Series Data Using Echo State Network
Causal discovery between collections of time-series data can help diagnose causes of symptoms and hopefully prevent faults before they occur.
HEMELB Acceleration and Visualization for Cerebral Aneurysms
A weakness in the wall of a cerebral artery causing a dilation or ballooning of the blood vessel is known as a cerebral aneurysm.
A Unified Formulation for Visual Odometry
Monocular Odometry systems can be broadly categorized as being either Direct, Indirect, or a hybrid of both.
FDMO: Feature Assisted Direct Monocular Odometry
Visual Odometry (VO) can be categorized as being either direct or feature based.
Keyframe-based monocular SLAM: design, survey, and future directions
Extensive research in the field of monocular SLAM for the past fifteen years has yielded workable systems that found their way into various applications in robotics and augmented reality.
