Results 51 to 60 of about 2,238,929 (282)
Cooperative monocular-based SLAM for multi-UAV systems in GPS-denied environments [PDF]
, 2018 This work presents a cooperative monocular-based SLAM approach for multi-UAV systems that can operate in GPS-denied environments. The main contribution of the work is to show that, using visual information obtained from monocular cameras mounted onboard ...
Grau Saldes, Antoni +3 more
core +3 more sources
Resilient and Distributed Multi-Robot Visual SLAM: Datasets, Experiments, and Lessons Learned [PDF]
IEEE/RJS International Conference on Intelligent RObots and Systems, 2023 This paper revisits Kimera-Multi, a distributed multi-robot Simultaneous Localization and Mapping (SLAM) system, towards the goal of deployment in the real world. In particular, this paper has three main contributions.
Yulun Tian +6 more
semanticscholar +1 more source
Visual-inertial curve SLAM [PDF]
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016 We present a simultaneous localization and mapping (SLAM) algorithm that uses Bezier curves as static landmark primitives rather than sparse feature points. Our approach allows us to estimate the full 6-DOF pose of a robot while providing a structured map which can be used to assist a robot in motion planning and control.
Kevin Meier +2 more
openaire +1 more source
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
KEYFRAME-BASED VISUAL-INERTIAL SLAM USING NONLINEAR OPTIMIZATION [PDF]
, 2013 —The fusion of visual and inertial cues has become popular in robotics due to the complementary nature of the two sensing modalities. While most fusion strategies to date rely on filtering schemes, the visual robotics community has recently turned to non-
Chli, Margarita +5 more
core +2 more sources
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
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
Collaborative visual SLAM for multiple agents:A brief survey
Virtual Reality & Intelligent Hardware, 2019 This article presents a brief survey to visual simultaneous localization and mapping (SLAM) systems applied to multiple independently moving agents, such as a team of ground or aerial vehicles, a group of users holding augmented or virtual reality ...
Danping Zou, Ping Tan, Wenxian Yu
doaj +1 more source
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
Visual SLAM algorithms: a survey from 2010 to 2016
IPSJ Transactions on Computer Vision and Applications, 2017 SLAM is an abbreviation for simultaneous localization and mapping, which is a technique for estimating sensor motion and reconstructing structure in an unknown environment.
Takafumi Taketomi +2 more
semanticscholar +1 more source