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A review of visual SLAM methods for autonomous driving vehicles
Autonomous driving vehicles require both a precise localization and map** solution in
different driving environment. In this context, Simultaneous Localization and Map** …
different driving environment. In this context, Simultaneous Localization and Map** …
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 …
Visual language maps for robot navigation
Grounding language to the visual observations of a navigating agent can be performed
using off-the-shelf visual-language models pretrained on Internet-scale data (eg, image …
using off-the-shelf visual-language models pretrained on Internet-scale data (eg, image …
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 …
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-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 …
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 …
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: 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 …