Results 41 to 50 of about 55,943 (277)
A Hybrid Visual-Based SLAM Architecture: Local Filter-Based SLAM with KeyFrame-Based Global Mapping
Sensors, 2021 This work presents a hybrid visual-based SLAM architecture that aims to take advantage of the strengths of each of the two main methodologies currently available for implementing visual-based SLAM systems, while at the same time minimizing some of their ...
Rodrigo Munguia +3 more
doaj +1 more source
Map point selection for visual SLAM
Robotics and Autonomous Systems, 2023 Simultaneous localisation and mapping (SLAM) play a vital role in autonomous robotics. Robotic platforms are often resource-constrained, and this limitation motivates resource-efficient SLAM implementations. While sparse visual SLAM algorithms offer good accuracy for modest hardware requirements, even these more scalable sparse approaches face ...
Christiaan J. Müller +1 more
openaire +2 more sources
Featureless visual processing for SLAM in changing outdoor environments [PDF]
, 2013 Vision-based SLAM is mostly a solved problem providing clear, sharp images can be obtained. However, in outdoor environments a number of factors such as rough terrain, high speeds and hardware limitations can result in these conditions not being met ...
George, Ashley, Milford, Michael
core +2 more sources
Point-Line Visual Stereo SLAM Using EDlines and PL-BoW
Remote Sensing, 2021 Visual Simultaneous Localization and Mapping (SLAM) technologies based on point features achieve high positioning accuracy and complete map construction.
Hanxiao Rong +5 more
doaj +1 more source
A Survey of Visual SLAM Based on RGB-D Images Using Deep Learning and Comparative Study for VOE
AlgorithmsVisual simultaneous localization and mapping (Visual SLAM) based on RGB-D image data includes two main tasks: One is to build an environment map, and the other is to simultaneously track the position and movement of visual odometry estimation (VOE ...
Van-Hung Le, Thi-Ha-Phuong Nguyen
doaj +1 more source
A Review of Common Techniques for Visual Simultaneous Localization and Mapping
Journal of Robotics, 2023 Mobile robots are widely used in medicine, agriculture, home furnishing, and industry. Simultaneous localization and mapping (SLAM) is the working basis of mobile robots, so it is extremely necessary and meaningful for making researches on SLAM ...
Yong Dai, Jiaxin Wu, Duo Wang
doaj +1 more source
GSLAM: Initialization-robust Monocular Visual SLAM via Global Structure-from-Motion
, 2017 Many monocular visual SLAM algorithms are derived from incremental structure-from-motion (SfM) methods. This work proposes a novel monocular SLAM method which integrates recent advances made in global SfM. In particular, we present two main contributions
Tan, Ping, Tang, Chengzhou, Wang, Oliver
core +1 more source
Ultimate SLAM? Combining Events, Images, and IMU for Robust Visual SLAM in HDR and High Speed Scenarios [PDF]
, 2018 Event cameras are bio-inspired vision sensors that output pixel-level brightness changes instead of standard intensity frames. These cameras do not suffer from motion blur and have a very high dynamic range, which enables them to provide reliable visual ...
Horstschaefer, Timo +3 more
core +1 more source
SLAM Overview: From Single Sensor to Heterogeneous Fusion
Remote Sensing, 2022 After decades of development, LIDAR and visual SLAM technology has relatively matured and been widely used in the military and civil fields. SLAM technology enables the mobile robot to have the abilities of autonomous positioning and mapping, which ...
Weifeng Chen +6 more
doaj +1 more source
International Journal of Digital Earth, 2022 Simultaneous Localization and Mapping (SLAM) has been widely used in emergency response, self-driving and city-scale 3D mapping and navigation. Recent deep-learning based feature point extractors have demonstrated superior performance in dealing with the
Jing Li +6 more
doaj +1 more source