Abstract: This paper focuses on tracking failure avoidance during vision-based navigation to a desired goal in unknown environments.
Abstract—This paper focuses on tracking failure avoidance during vision-based navigation to a desired goal in unknown environments.
This paper proposes a novel active visual localization method using machine learning technique to perform and maintain accurate VO while the robot is moving ...
Fingerprint. Dive into the research topics of 'Feature-constrained Active Visual SLAM for Mobile Robot Navigation'. Together they form a unique fingerprint.
Sep 5, 2024 · This paper presents FLAF, a focal line and feature-constrained active view planning method for tracking failure avoidance in feature-based visual navigation of ...
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We use modified versions of the DBoW2 library to perform place recognition and g2o library to perform non-linear optimizations.
Duration: 2:00
Posted: Aug 26, 2018
Posted: Aug 26, 2018
Sep 5, 2024 · This paper presents FLAF, a focal line and feature-constrained active view planning method for tracking failure avoidance in feature-based visual navigation of ...
Jul 19, 2024 · Simultaneous Localization and Mapping (SLAM) aims at estimating the trajectory of a mobile robot while concurrently constructing a ...
This paper introduces perception-driven navigation, an integrated navigation algorithm that automatically balances between exploration and revisitation.