Results 81 to 90 of about 9,269 (274)
OA-SLAM: Leveraging Objects for Camera Relocalization in Visual SLAM
In this work, we explore the use of objects in Simultaneous Localization and Mapping in unseen worlds and propose an object-aided system (OA-SLAM). More precisely, we show that, compared to low-level points, the major benefit of objects lies in their higher-level semantic and discriminating power.
Zins, Matthieu +2 more
openaire +3 more sources
Human‐in‐the‐Loop Object Segmentation for 3D Gaussian Splatting via Finger‐based VR Interface
This study introduces a human‐in‐the‐loop segmentation framework for 3D Gaussian Splatting that integrates real‐time optimization with intuitive VR‐based finger prompting. Compared with existing automatic, learning‐based methods, it achieves significantly higher accuracy and reduced segmentation time.
Yongseok Lee +5 more
wiley +1 more source
A physics‐guided deep learning framework, ParamNet, is introduced for the intelligent self‐inversion of vacuum optical tweezers. By fuzing dual‐branch time–frequency features with physical dynamical constraints, it achieves high‐accuracy calibration of trap parameters from short‐window, low‐frequency trajectories, outperforming traditional methods ...
Qi Zheng +4 more
wiley +1 more source
A loop closure approach for humanoids navigation, An approach to the loop closure problem, robust to severe view-point changes [PDF]
A loop closure approach for humanoids navigation with visual-inertial data.\nThe approach is robust to severe view-point changes thanks to an estimation of view-point invariant frontal views of ...
Marostica, Michele
core
ABSTRACT This is a retrospective case study of an antisemitic lone actor terrorist who completed the deadliest attack against the Jewish community in American history. The analysis through the lens of the Terrorist Radicalization Assessment Protocol (TRAP‐18) finds that 72% of the warning indicators were present, including four proximal warning ...
Molly Amman, Julia Kupper, J. Reid Meloy
wiley +1 more source
Visual inertial SLAM based autonomous navigation system [PDF]
Development and use of Visual and Visual Inertial SLAM for autonomous navigation have been prevalent for the past decade. Autonomous navigation in the past commonly used traditional SLAM with LiDAR as sensors which provides accurate depth ranging of the ...
Chua, Eng Soon
core
Simultaneous localization and mapping (SLAM) plays a vital role in the operation of autonomous robots. In a dynamic environment, the results of some commonly used SLAM algorithms may not be optimal. Therefore, Visual SLAM is used.
Balakrishna Reddy Kunchala +6 more
doaj +1 more source
The transformation of CO2 into chemical building blocks is essential for a net‐zero energy future. Plasma‐chemical processing offers promising potential to achieve this. Here, we explore a temperature‐dependent plasma‐chemical reaction mechanism, revealing a shift from electron‐driven to thermal‐driven CO2 conversion regimes.
Aswath Mohanan +2 more
wiley +1 more source
SLAM Systems: Overview of Algorithms and Applications [PDF]
Simultaneous Localization and Mapping (SLAM) represents a key technology enabling autonomous navigation and precise mappingof environments, whether they are unknown or lack GNSS signals.
Adrian Mikołaj Kapski
doaj +1 more source
Interest Point Detectors for Visual SLAM [PDF]
In this paper we present several interest points detectors and we analyze their suitability when used as landmark extractors for vision-based simultaneous localization and mapping (vSLAM). For this purpose, we evaluate the detectors according to their repeatability under changes in viewpoint and scale.
Óscar Martínez Mozos +3 more
openaire +2 more sources

