Results 251 to 260 of about 12,075 (277)

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 J. Hsu, Wei-Yen Wang, Jacky Baltes   +3 more
openaire   +2 more sources

Simultaneous Localization and Mapping (SLAM) in Mobile Robots

2013
This chapter first introduces the concept of SLAM for navigation of mobile robots and then describes the extended Kalman filter (EKF) based SLAM algorithms in detail. Next we consider a more complex scenario where this EKF based SLAM algorithm is implemented in presence of incorrect knowledge of sensor statistics and discuss how fuzzy or neuro-fuzzy ...
Amitava Chatterjee, Anjan Rakshit, N. Nirmal Singh   +2 more
openaire   +1 more source

β-SLAM: Simultaneous localization and grid mapping with beta distributions

Information Fusion, 2019
Abstract Simultaneous localization and mapping (SLAM) is one of the most frequently studied problems in mobile robotics. Different map representations have been proposed in the past and a popular one are occupancy grid maps, which are particularly well suited for navigation tasks. The uncertainty in these maps is usually modeled as a single Bernoulli
Joachim Clemens, Tobias Kluth, Thomas Reineking   +2 more
openaire   +1 more source

Simultaneous Localization and Mapping (SLAM) for warehouse applications

International Journal of Science and Research Archive
The ravaging impacts of the COVID-19 pandemic on global supply chains and its exposures of the vulnerabilities of the This research paper describes the development and implementation of a practical SLAM model for warehouse application. SLAM technology allows autonomous systems to map unknown environments while estimating their own position.
null Anagha J. Choudhary, null Purva K. Patil, null Dishant Shah, null Rupali D. Rode, null Hrushikesh B. Kulkarni   +4 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

SP-SLAM: Surfel-Point Simultaneous Localization and Mapping

IEEE/ASME Transactions on Mechatronics, 2022
Hae Min Cho, Euntai Kim, HyungGi Jo
exaly  

A prototype for Simultaneous Localization and Mapping (SLAM) with Fischertechnik Robotics for Education

Embedded Systems play a crucial role in modern systems development. Due to increasing miniaturization and computational power, they are ubiquitously used in various domains, e.g. automotive, life sciences, and industrial automation. It is therefore essential to include a profound education in this domain in the curricula of computer science and ...
Sebastian Schlesinger, Lennard Arne Breuer, Sander Hahn, Finnian Kühn, Benjamin Liebenberg, Marvin Waldmann, Vincent Walura   +6 more
openaire   +2 more sources

A New Visual Inertial Simultaneous Localization and Mapping (SLAM) Algorithm Based on Point and Line Features

Drones, 2022
Chunjiang Liu
exaly  

Radio SLAM: A Review on Radio-Based Simultaneous Localization and Mapping

IEEE Access, 2023
Pavlos I Lazaridis, Maryam Hafeez, Qasim Ahmed   +2 more
exaly