Results 241 to 250 of about 24,069 (274)

Filter design for simultaneous localization and map building (SLAM)

Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292), 2003
This paper deals with the fusion of random variables when cross covariances are unknown. This is a vital problem in nearly every real world application since cross covariances are often impossible to obtain, but also cannot be ignored. We provide a rigorous derivation of the fusion equations which are also known as covariance intersection.
C. Schlegel, T. Kampke
openaire   +1 more source

Topological simultaneous localization and mapping (SLAM): toward exact localization without explicit localization

IEEE Transactions on Robotics and Automation, 2001
This paper presents a new method for simultaneous localization and mapping that exploits the topology of the robot's free space to localize the robot on a partially constructed map. The topology of the environment is encoded in a topological map; the particular topological map used in this paper is the generalized Voronoi graph (GVG), which also ...
H. Choset, K. Nagatani
openaire   +1 more source

Adaptive Computation Algorithm for Simultaneous Localization and Mapping (SLAM)

2016
Computationally Efficient SLAM (CESLAM) was proposed to improve the accuracy and runtime efficiency of FastSLAM 1.0 and FastSLAM 2.0. This method adopts the landmark measurement with the maximum likelihood, where the particle state is updated before updating the landmark estimate. Also, CESLAM solves the problem of real-time performance. In this paper,
Da-Wei Kung, Chen-Chien Hsu, Wei-Yen Wang, Jacky Baltes   +3 more
openaire   +1 more source

Multi-robot simultaneous localization and mapping using D-SLAM framework

2007 3rd International Conference on Intelligent Sensors, Sensor Networks and Information, 2007
This paper presents an algorithm for the multi-robot simultaneous localization and mapping (SLAM) problem with the robot initial locations completely unknown. Each robot builds its own local map using the traditional extended Kalman filter (EKF) SLAM algorithm. We provide a new method to fuse the local maps into a jointly maintained global map by first
Zhan Wang, Shoudong Huang, Gamini Dissanayake   +2 more
openaire   +1 more source

SPM-SLAM: Simultaneous localization and mapping with squared planar markers

Pattern Recognition, 2019
Abstract SLAM is generally addressed using natural landmarks such as keypoints or texture, but it poses some limitations, such as the need for enough textured environments and high computational demands. In some cases, it is preferable sacrificing the flexibility of such methods for an increase in speed and robustness by using artificial landmarks ...
Rafael Muñoz-Salinas, Manuel J. Marín-Jimenez, R. Medina-Carnicer   +2 more
openaire   +1 more source

ROSLAM—A Faster Algorithm for Simultaneous Localization and Mapping (SLAM)

2016
Computationally efficient SLAM (CESLAM) has been proposed to solve simultaneous localization and mapping problem in real-time design. CESLAM first uses the landmark measurement with the maximum likelihood to update the particle states and then update their associated landmarks later.
Teng-Wei Huang, Chen-Chien Hsu, Wei-Yen Wang, Jacky Baltes   +3 more
openaire   +1 more source

Simultaneous Localization and Mapping (SLAM)

2020
Kshitij Tiwari, Nak Young Chong
openaire   +1 more source

Simultaneous Localization and Mapping (SLAM)

2022
openaire   +1 more source

Mapping genomic loci implicates genes and synaptic biology in schizophrenia

Nature, 2022
Vassily Trubetskoy, Antonio F Pardiñas, Georgia Panagiotaropoulou   +2 more
exaly  

Cooperative Coupling of Oxidative Organic Synthesis and Hydrogen Production over Semiconductor-Based Photocatalysts

Chemical Reviews, 2021
, Marco Conte, Masakazu Anpo
exaly