Keyframe selection for visual localization and mapping tasks: A systematic literature review
Visual localization and mapping algorithms attempt to estimate, from images, geometrical
models that explain ego motion and the positions of objects in a real scene. The success of …
models that explain ego motion and the positions of objects in a real scene. The success of …
Robust visual slam algorithm based on target detection and clustering in dynamic scenarios
F Gan, S Xu, L Jiang, Y Liu, Q Liu, S Lan - Frontiers in Neurorobotics, 2024 - frontiersin.org
We propose a visual Simultaneous Localization and Mapping (SLAM) algorithm that
integrates target detection and clustering techniques in dynamic scenarios to address the …
integrates target detection and clustering techniques in dynamic scenarios to address the …
Semisupervised Vector Quantization in Visual SLAM Using HGCN
A Zarringhalam, S Shiry Ghidary… - … Journal of Intelligent …, 2024 - Wiley Online Library
We present a novel vector quantization (VQ) module for the two state‐of‐the‐art long‐range
simultaneous localization and mapping (SLAM) algorithms. The VQ task in SLAM is …
simultaneous localization and mapping (SLAM) algorithms. The VQ task in SLAM is …
[PDF][PDF] Keyframe Selection for Visual Localization and Mapping Tasks: A Systematic Literature Review. Robotics 2023, 12, 88
Visual localization and mapping algorithms attempt to estimate, from images, geometrical
models that explain ego motion and the positions of objects in a real scene. The success of …
models that explain ego motion and the positions of objects in a real scene. The success of …
[PDF][PDF] Mapping in dynamic environments using deep learning-based human detection
JCV Soares, M Gattass… - … International Congress of …, 2019 - tecgraf.puc-rio.br
Simultaneous Localization and Mapping (SLAM) is one of the key problems in mobile
robotics. However, most of the state-of-the-art SLAM systems only work properly in static …
robotics. However, most of the state-of-the-art SLAM systems only work properly in static …
RGB-D Visual Odometry Algorithm Based on Improved ORB for Indoor Environments
MA Qianwen, LI Wenju - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
Pose estimation and map reconstruction are necessary conditions for autonomous robots.
Considering the low positioning accuracy of autonomous robots in indoor environments, this …
Considering the low positioning accuracy of autonomous robots in indoor environments, this …
[PDF][PDF] COB-2019-0845 MAPPING IN DYNAMIC ENVIRONMENTS USING DEEP LEARNING-BASED HUMAN DETECTION
Simultaneous Localization and Mapping (SLAM) is one of the key problems in mobile
robotics. However, most of the state-of-the-art SLAM systems only work properly in static …
robotics. However, most of the state-of-the-art SLAM systems only work properly in static …
Crop rows constraints for agricultural SLAM
C Relandini - 2019 - politesi.polimi.it
Abstract Agricultural Simultaneous Localization And Mapping (SLAM) is the process of robot
self-localization and field mapping in agriculture. Robot localization is the prerequisite for …
self-localization and field mapping in agriculture. Robot localization is the prerequisite for …
[PDF][PDF] Graph Optimization and Probabilistic SLAM of Mobile Robots using an RGB-D Sensor
JCV Soares, MA Meggiolaro - 2018 - maxwell.vrac.puc-rio.br
João Carlos Virgolino Soares Graph Optimization and Probabilistic SLAM of Mobile Robots using
an RGB-D Sensor Page 1 João Carlos Virgolino Soares Graph Optimization and Probabilistic …
an RGB-D Sensor Page 1 João Carlos Virgolino Soares Graph Optimization and Probabilistic …