Mobile robotics and 3D printing: addressing challenges in path planning and scalability
ABSTRACT Mobile Additive Manufacturing (MAM) systems are transforming large-scale
fabrication across various industries, particularly in building and construction. This review …
fabrication across various industries, particularly in building and construction. This review …
[HTML][HTML] Visual-Inertial RGB-D SLAM with Encoder Integration of ORB Triangulation and Depth Measurement Uncertainties
ZW Ma, WS Cheng - Sensors, 2024 - mdpi.com
In recent years, the accuracy of visual SLAM (Simultaneous Localization and Mapping)
technology has seen significant improvements, making it a prominent area of research …
technology has seen significant improvements, making it a prominent area of research …
Equivariant symmetries for aided inertial navigation
A Fornasier - arXiv preprint arXiv:2407.14297, 2024 - arxiv.org
Respecting the geometry of the underlying system and exploiting its symmetry have been
driving concepts in deriving modern geometric filters for inertial navigation systems (INSs) …
driving concepts in deriving modern geometric filters for inertial navigation systems (INSs) …
Uncertainty-Aware Visual-Inertial SLAM with Volumetric Occupancy Mapping
We propose visual-inertial simultaneous localization and mapping that tightly couples
sparse reprojection errors, inertial measurement unit pre-integrals, and relative pose factors …
sparse reprojection errors, inertial measurement unit pre-integrals, and relative pose factors …
PLE-SLAM: A Visual-Inertial SLAM Based on Point-Line Features and Efficient IMU Initialization
Camera and IMU are widely used in robotics to achieve accurate and robust pose
estimation. However, this fusion relies heavily on sufficient visual feature observations and …
estimation. However, this fusion relies heavily on sufficient visual feature observations and …
Equivariant IMU preintegration with biases: A galilean group approach
This letter proposes a new approach for Inertial Measurement Unit (IMU) preintegration, a
fundamental building block that can be leveraged in different optimization-based Inertial …
fundamental building block that can be leveraged in different optimization-based Inertial …
Increasing SLAM Pose Accuracy by Ground-to-Satellite Image Registration
Vision-based localization for autonomous driving has been of great interest among
researchers. When a pre-built 3D map is not available, the techniques of visual …
researchers. When a pre-built 3D map is not available, the techniques of visual …
Multi-cam Multi-map Visual Inertial Localization: System, Validation and Dataset
F Han, Y Wei, Y Jiao, Z Zhang, Y Pan, W Huang… - arXiv preprint arXiv …, 2024 - arxiv.org
Map-based localization is crucial for the autonomous movement of robots as it provides real-
time positional feedback. However, existing VINS and SLAM systems cannot be directly …
time positional feedback. However, existing VINS and SLAM systems cannot be directly …
Virtual Vectors for Vision-based Simultaneous Localization and Mapping System
J Cui, Y Huang, X Luo, Y Bai - IEEE Robotics and Automation …, 2024 - ieeexplore.ieee.org
Visual SLAM estimates the camera's pose by tracking feature points between consecutive
frames. Static feature points are essential for accurately estimating the camera's pose …
frames. Static feature points are essential for accurately estimating the camera's pose …
Enhancing human detection and counting efficiency through deep learning: A comprehensive approach
H Bhanushali, H Maheshwari, S Gohil… - AIP Conference …, 2025 - pubs.aip.org
The paper" Enhancing Human Detection and Counting Efficiency through Deep Learning"
presents a thorough methodology. Convolutional neural networks (CNNs) are utilized in the …
presents a thorough methodology. Convolutional neural networks (CNNs) are utilized in the …