The Simultaneous Localization and Mapping (SLAM) technique has achieved astonishing
progress over the last few decades and has generated considerable interest in the …

Research and development of autonomous mobile robotic solutions that can perform
several active agricultural tasks (pruning, harvesting, mowing) have been growing. Robots …

In this paper, we propose a survey of the Simultaneous Localization And Mapping (SLAM)
field when considering the recent evolution of autonomous driving. The growing interest …

Abstract Simultaneous Localization and Mapping (SLAM) is a key problem in the field of
Artificial Intelligence and mobile robotics that addresses the problem of localization and …

In appearance-based localization and mapping, loop-closure detection is the process used
to determinate if the current observation comes from a previously visited location or a new …

After decades of development, LIDAR and visual SLAM technology has relatively matured
and been widely used in the military and civil fields. SLAM technology enables the mobile …

This paper describes a real-time feature-based stereo SLAM system that is robust and
accurate in a wide variety of conditions–indoors, outdoors, with dynamic objects, changing …

Pose graphs have become a popular representation for solving the simultaneous
localization and mapping (SLAM) problem. A pose graph is a set of robot poses connected …

Many successful indoor mapping techniques employ frame-to-frame matching of laser scans
to produce detailed local maps as well as the closing of large loops. In this paper, we …

Sensor fusion is used to solve the localization problem in autonomous mobile robotics
applications by integrating complementary data acquired from various sensors. In this study …