Red Norvo and his selected Sextet · Bulletin of Miscellaneous Information (Royal Gardens Kew) · 1945
Performer: Red Norvo and his selected Sextet Digitized at 78 revolutions per minute. Four stylii were used to transfer this record. They are 3.5mil truncated eliptical, 2.3mil truncated conical, 2.8mil truncated conical, 3.3mil truncated conical. These were recorded flat and then also equalized with Turnover: 375.0, Rolloff: -12.0. The preferred versions suggested by an audio engineer at George Blood, L.P. have been copied to have the more friendly filenames. Matrix number: T-6-B-1 Catalog number: T 6-B
Cited by 0
Slam Stewart, Errol Garner · Bulletin of Miscellaneous Information (Royal Gardens Kew) · 1945
Performer: Slam Stewart; Errol Garner Writer: Slam Stewart Digitized at 78 revolutions per minute. Four stylii were used to transfer this record. They are 3.5mil truncated eliptical, 2.3mil truncated conical, 2.8mil truncated conical, 3.3mil truncated conical. These were recorded flat and then also equalized with Turnover: 400.0, Rolloff: -12.0. The preferred versions suggested by an audio engineer at George Blood, L.P. have been copied to have the more friendly filenames. Matrix number: SAV-5782 Catalog number: 538-A Other IDs from the record include: Sav-5782; 538-A
Cited by 0
69 Slam · Bulletin of Miscellaneous Information (Royal Gardens Kew) · 1987
Cited by 0
Liu, Xulang, Tan, Ning · ArXiv.org · 2025
3D Gaussian Splatting (3DGS) has recently emerged as a powerful representation of geometry and appearance for dense Simultaneous Localization and Mapping (SLAM). Through rapid, differentiable rasterization of 3D Gaussians, many 3DGS SLAM methods achieve near real-time rendering and accelerated training. However, these methods largely overlook inertial data, witch is a critical piece of information collected from the inertial measurement unit (IMU). In this paper, we present GI-SLAM, a novel gaussian-inertial SLAM system which consists of an IMU-enhanced camera tracking module and a realistic 3D Gaussian-based scene representation for mapping. Our method introduces an IMU loss that seamlessly integrates into the deep learning framework underpinning 3D Gaussian Splatting SLAM, effectively enhancing the accuracy, robustness and efficiency of camera tracking. Moreover, our SLAM system supports a wide range of sensor configurations, including monocular, stereo, and RGBD cameras, both with and without IMU integration. Our method achieves competitive performance compared with existing state-of-the-art real-time methods on the EuRoC and TUM-RGBD datasets.
Cited by 0Open access
F. Aykut Sarikamis, A. Aydın Alatan · arXiv (Cornell University) · 2024
3D Gaussian Splatting has recently shown promising results as an alternative scene representation in SLAM systems to neural implicit representations. However, current methods either lack dense depth maps to supervise the mapping process or detailed training designs that consider the scale of the environment. To address these drawbacks, we present IG-SLAM, a dense RGB-only SLAM system that employs robust Dense-SLAM methods for tracking and combines them with Gaussian Splatting. A 3D map of the environment is constructed using accurate pose and dense depth provided by tracking. Additionally, we utilize depth uncertainty in map optimization to improve 3D reconstruction. Our decay strategy in map optimization enhances convergence and allows the system to run at 10 fps in a single process. We demonstrate competitive performance with state-of-the-art RGB-only SLAM systems while achieving faster operation speeds. We present our experiments on the Replica, TUM-RGBD, ScanNet, and EuRoC datasets. The system achieves photo-realistic 3D reconstruction in large-scale sequences, particularly in the EuRoC dataset.
Cited by 1Open access
Juan J. Gómez Rodríguez, J. M. M. Montiel, Juan D. Tardós · IEEE Transactions on Robotics · 2024
This article presents NR-SLAM, a novel nonrigid monocular simultaneous localization and mapping (SLAM) system founded on the combination of a dynamic deformation graph with a visco-elastic deformation model. The former enables our system to represent the dynamics of the deforming environment as the camera explores, while the later allows us to model general deformations in a simple way. The presented system is able to automatically initialize and extend a map modeled by a sparse point cloud in deforming environments, that is refined with a sliding-window deformable bundle adjustment. This map serves as base for the estimation of the camera motion and deformation and enables us to represent arbitrary surface topologies, overcoming the limitations of previous methods. To assess the performance of our system in challenging deforming scenarios, we evaluate it in several representative medical datasets. In our experiments, NR-SLAM outperforms previous deformable SLAM systems, achieving millimeter reconstruction accuracy and bringing automated medical intervention closer. For the benefit of the community, we make the source code public.
Cited by 16
Vorger, Camille · SERVAL (Université de Lausanne) · 2018
Cet article est une notice du Publictionnaire, dictionnaire encyclopédique et critique des publics.
Cited by 0
Slam · Bulletin of Miscellaneous Information (Royal Gardens Kew)
Cited by 0
Camille Vorger · SERVAL (Université de Lausanne) · 2018
Cited by 0
2009
Cited by 0
Robert Epps · Bulletin of Miscellaneous Information (Royal Gardens Kew) · 1993
Slam! is an air hockey game. You play against a computer opponent with adjustable quickness and aggressiveness.
Cited by 0
Slam · Bulletin of Miscellaneous Information (Royal Gardens Kew)
Cited by 0
Slam · Bulletin of Miscellaneous Information (Royal Gardens Kew)
Cited by 0
Slam · Bulletin of Miscellaneous Information (Royal Gardens Kew)
Cited by 0
Pegden, C.D., Pritsker, A. A. B. · NCSU Libraries Repository (North Carolina State University Libraries) · 2012
Cited by 0Open access
Slam · Bulletin of Miscellaneous Information (Royal Gardens Kew)
Cited by 0
Bruno Ferreira Abrahão · SHILAP Revista de lepidopterología · 2020
Este artigo estuda o Slam surdo como manifestação da poesia em língua de sinais contemporânea e pesquisa suas origens dentro e fora do Brasil. Tenta também pensar sobre sua construção como arte poética, explorando seus principais elementos. Além disso, apresenta o resultado de uma pesquisa com dez ouvintes sobre o Slam Surdo, com o objetivo de verificar possíveis impactos provocados pela difusão do Slam Surdo entre sujeitos não falantes de línguas de sinais. Assim, pretende verificar a possibilidade do Slam surdo ser usado como meio de promoção da cultura surda e das línguas de sinais.
Cited by 0Open access
Miguel Ahumada Cristi, Aislene da Silva Lopes · Greater South Information System · 2022
O slam é um movimento cultural e artístico de origem norte-americano. No Brasil, ele é especialmente cultivado pela população negra das periferias. Este artigo teve como objetivo abordar o slam desde uma perspectiva interdisciplinar: histórica, social e pedagógica. Nesse sentido, o texto aborda três esferas deste movimento: a trajetória histórica dos sentidos e significados do slam; a cultura do slam e a produção de conhecimento; a natureza pedagógica do slam, isto é, a conscientização pela linguagem.
Cited by 0Open access
Lexikon des gesamten Buchwesens Online · 2020
Cited by 0
Hornby, Nick 1957- · 2008
Cited by 0