Nice-slam: Neural implicit scalable encoding for slam
Neural implicit representations have recently shown encouraging results in various
domains, including promising progress in simultaneous localization and map** (SLAM) …
domains, including promising progress in simultaneous localization and map** (SLAM) …
Visual SLAM integration with semantic segmentation and deep learning: A review
Simultaneous localization and map** (SLAM) technology is essential for robots to
navigate unfamiliar environments. It utilizes the sensors the robot carries to answer the …
navigate unfamiliar environments. It utilizes the sensors the robot carries to answer the …
Bundlesdf: Neural 6-dof tracking and 3d reconstruction of unknown objects
We present a near real-time (10Hz) method for 6-DoF tracking of an unknown object from a
monocular RGBD video sequence, while simultaneously performing neural 3D …
monocular RGBD video sequence, while simultaneously performing neural 3D …
A survey of visual SLAM in dynamic environment: the evolution from geometric to semantic approaches
Simultaneous localization and map** (SLAM) is crucial for the progression of autonomous
systems, including autonomous driving, augmented reality (AR), and robotics. Traditionally …
systems, including autonomous driving, augmented reality (AR), and robotics. Traditionally …
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 …
vmap: Vectorised object map** for neural field slam
We present vMAP, an object-level dense SLAM system using neural field representations.
Each object is represented by a small MLP, enabling efficient, watertight object modelling …
Each object is represented by a small MLP, enabling efficient, watertight object modelling …
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 …
DynaSLAM II: Tightly-coupled multi-object tracking and SLAM
The assumption of scene rigidity is common in visual SLAM algorithms. However, it limits
their applicability in populated real-world environments. Furthermore, most scenarios …
their applicability in populated real-world environments. Furthermore, most scenarios …
Kimera-multi: Robust, distributed, dense metric-semantic slam for multi-robot systems
Multi-robot simultaneous localization and map** (SLAM) is a crucial capability to obtain
timely situational awareness over large areas. Real-world applications demand multi-robot …
timely situational awareness over large areas. Real-world applications demand multi-robot …
Maskfusion: Real-time recognition, tracking and reconstruction of multiple moving objects
We present MaskFusion, a real-time, object-aware, semantic and dynamic RGB-D SLAM
system that goes beyond traditional systems which output a purely geometric map of a static …
system that goes beyond traditional systems which output a purely geometric map of a static …