Constructing maps for autonomous robotics: An introductory conceptual overview
Mapping the environment is a powerful technique for enabling autonomy through
localization and planning in robotics. This article seeks to provide a global overview of …
localization and planning in robotics. This article seeks to provide a global overview of …
Deep learning for visual SLAM: the state-of-the-art and future trends
MN Favorskaya - Electronics, 2023 - mdpi.com
Visual Simultaneous Localization and Mapping (VSLAM) has been a hot topic of research
since the 1990s, first based on traditional computer vision and recognition techniques and …
since the 1990s, first based on traditional computer vision and recognition techniques and …
MATC-Net: Learning compact sequence representation for hierarchical loop closure detection
F Fu, J Yang, J Zhang, J Ma - Engineering Applications of Artificial …, 2023 - Elsevier
Loop closure detection (LCD) is a challenging task to judge whether the current position of
an intelligent robot returns to the previously visited position. Mainstream appearance-based …
an intelligent robot returns to the previously visited position. Mainstream appearance-based …
Visual Place Recognition in Changing Environments with Sequence Representations on the Distance-Space Domain
Navigating in a perpetually changing world can provide the basis for numerous challenging
autonomous robotic applications. With a view to long-term autonomy, visual place …
autonomous robotic applications. With a view to long-term autonomy, visual place …
Semantic-based visual vocabulary for loop closure detection
IT Papapetros, KM Oikonomou… - … on Imaging Systems …, 2023 - ieeexplore.ieee.org
Recognizing when a robot is navigating in a previously visited location, known as loop
closure detection, constitutes an essential task within any simultaneous localization and …
closure detection, constitutes an essential task within any simultaneous localization and …