Results 111 to 120 of about 3,988 (156)

Lidar-inertial SLAM method integrated with visual QR codes for indoor mobile robots. [PDF]

Sci Rep
Yang L, Tao Y, Li M, Zhou J, Jiao K, Li Z.   +5 more
europepmc   +1 more source

Real-Time SLAM-Based Correction and 3D Visualization for Fluorescence Lifetime Imaging. [PDF]

Med Image Comput Comput Assist Interv
Krishnamoorthy M, Zhou H, Frazee K, Pal R, Jagadeesan J, Kumar ATN.   +5 more
europepmc   +1 more source

GL-VSLAM: A General Lightweight Visual SLAM Approach for RGB-D and Stereo Cameras. [PDF]

Sensors (Basel)
Li X, Li T, Zhang Y, Li Z, Ban L, Ning Y.   +5 more
europepmc   +1 more source

A2PM-VINS: A Visual-Inertial SLAM Method Based on Area-to-Point Matching. [PDF]

Sensors (Basel)
Ma M, Jiang Z, Yan Y, Tang J, Chen Y.
europepmc   +1 more source

KOM-SLAM: A GNN-Based Tightly Coupled SLAM and Multi-Object Tracking Framework. [PDF]

Sensors (Basel)
Liu J, Tian Y, Gu Y, Kamijo S.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Simultaneous localization and mapping (SLAM): part II

IEEE Robotics and Automation Magazine, 2006
This paper discusses the recursive Bayesian formulation of the simultaneous localization and mapping (SLAM) problem in which probability distributions or estimates of absolute or relative locations of landmarks and vehicle pose are obtained.
T Bailey, H Durrant-Whyte
exaly   +2 more sources

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
Thomas Reineking, Joachim Clemens, Tobias Kluth   +2 more
exaly   +2 more sources

Review on simultaneous localization and mapping (SLAM)

2015 IEEE International Conference on Control System, Computing and Engineering (ICCSCE), 2015
Simultaneous localization and mapping (SLAM) is a technique applied in artificial intelligence mobile robot for a self-exploration in numerous geographical environment. SLAM becomes fundamental research area in recent days as it promising solution in solving most of problems which related to the self-exploratory oriented artificial intelligence mobile ...
Alif Ridzuan Khairuddin, Mohamad Shukor Talib, Habibollah Haron   +2 more
openaire   +1 more source

Map Management for Efficient Simultaneous Localization and Mapping (SLAM)

Autonomous Robots, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gamini Dissanayake, Stefan B. Williams, Hugh F. Durrant-Whyte, Tim Bailey   +3 more
openaire   +1 more source