A survey on active simultaneous localization and map**: State of the art and new frontiers
Active simultaneous localization and map** (SLAM) is the problem of planning and
controlling the motion of a robot to build the most accurate and complete model of the …
controlling the motion of a robot to build the most accurate and complete model of the …
An overview on visual slam: From tradition to semantic
W Chen, G Shang, A Ji, C Zhou, X Wang, C Xu, Z Li… - Remote Sensing, 2022 - mdpi.com
Visual SLAM (VSLAM) has been develo** rapidly due to its advantages of low-cost
sensors, the easy fusion of other sensors, and richer environmental information. Traditional …
sensors, the easy fusion of other sensors, and richer environmental information. Traditional …
Navigating to objects in the real world
Semantic navigation is necessary to deploy mobile robots in uncontrolled environments
such as homes or hospitals. Many learning-based approaches have been proposed in …
such as homes or hospitals. Many learning-based approaches have been proposed in …
Kimera: an open-source library for real-time metric-semantic localization and map**
We provide an open-source C++ library for real-time metric-semantic visual-inertial
Simultaneous Localization And Map** (SLAM). The library goes beyond existing visual …
Simultaneous Localization And Map** (SLAM). The library goes beyond existing visual …
Kimera: From SLAM to spatial perception with 3D dynamic scene graphs
A Rosinol, A Violette, M Abate… - … Journal of Robotics …, 2021 - journals.sagepub.com
Humans are able to form a complex mental model of the environment they move in. This
mental model captures geometric and semantic aspects of the scene, describes the …
mental model captures geometric and semantic aspects of the scene, describes the …
Cubeslam: Monocular 3-d object slam
In this paper, we present a method for single image three-dimensional (3-D) cuboid object
detection and multiview object simultaneous localization and map** in both static and …
detection and multiview object simultaneous localization and map** in both static and …