Results 81 to 90 of about 2,238,929 (282)
DM-SLAM: A Feature-Based SLAM System for Rigid Dynamic Scenes
ISPRS International Journal of Geo-Information, 2020 Most Simultaneous Localization and Mapping (SLAM) methods assume that environments are static. Such a strong assumption limits the application of most visual SLAM systems.
Junhao Cheng +4 more
doaj +1 more source
Gong-kuang zidonghua, 2023 The visual simultaneous localization and mapping (SLAM) algorithm based on the feature point method has certain applications in coal mines. However, due to factors such as uneven lighting, variable lighting, and alternating light and dark areas, the ...
FENG Wei +5 more
doaj +1 more source
PLPF‐VSLAM: An indoor visual SLAM with adaptive fusion of point‐line‐plane features
J. Field Robotics, 2023 Simultaneous localization and mapping (SLAM) is required in many areas and especially visual‐based SLAM (VSLAM) due to the low cost and strong scene recognition capabilities conventional VSLAM relies primarily on features of scenarios, such as point ...
Jinjin Yan +5 more
semanticscholar +1 more source
Controlling Ultrafast Photonic‐Plasmonic Coupling in a Hybrid Platform for Biosensing Applications
Advanced Optical Materials, EarlyView.A metal–dielectric hybrid composed of gold nanocaps on opal exhibits a broad near‐infrared plasmonic resonance interacting with the photonic bandgap under ultrafast transient conditions. This coupling can be controlled by varying the excitation wavelength and is responsive to bacterial deposition, opening new opportunities for ultrafast biosensing ...
Diego Florio +6 more
wiley +1 more source
Relative localization for aerial manipulation with PL-SLAM [PDF]
, 2019 The final publication is available at link.springer.comThis chapter explains a precise SLAM technique, PL-SLAM, that allows to simultaneously process points and lines and tackle situations where point-only based methods are prone to fail, like poorly ...
Agudo Martínez, Antonio +4 more
core +2 more sources
Deep Learning Techniques for Visual SLAM: A Survey
IEEE Access, 2023 Visual Simultaneous Localization and Mapping (VSLAM) has attracted considerable attention in recent years. This task involves using visual sensors to localize a robot while simultaneously constructing an internal representation of its environment ...
Saad Mokssit +3 more
semanticscholar +1 more source
Advanced Robotics Research, EarlyView.A multimaterial robotic gripper fabricated via multimaterial 3D printing integrates conductive thermopolymer joints with flexible elastomeric components. Joule heating enables precise joint‐level stiffness modulation, enhanced by embedded temperature sensors, passive shape restoration, and active cooling, enabling versatile manipulation capabilities ...
Daniel Jee Seng Goh +4 more
wiley +1 more source
Advanced Robotics Research, EarlyView.Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley +1 more source
Network Uncertainty Informed Semantic Feature Selection for Visual SLAM
, 2019 In order to facilitate long-term localization using a visual simultaneous localization and mapping (SLAM) algorithm, careful feature selection can help ensure that reference points persist over long durations and the runtime and storage complexity of the
Ganti, Pranav, Waslander, Steven L.
core +1 more source
ULL-SLAM: underwater low-light enhancement for the front-end of visual SLAM
Frontiers in Marine Science, 2023 Underwater visual simultaneous localization and mapping (VSLAM), which can provide robot navigation and localization for underwater vehicles, is crucial in underwater exploration.
Zhichao Xin +3 more
semanticscholar +1 more source