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[HTML][HTML] A survey on visual navigation and positioning for autonomous UUVs
Autonomous navigation and positioning are key to the successful performance of unmanned
underwater vehicles (UUVs) in environmental monitoring, oceanographic map**, and …
underwater vehicles (UUVs) in environmental monitoring, oceanographic map**, and …
Pgsr: Planar-based gaussian splatting for efficient and high-fidelity surface reconstruction
D Chen, H Li, W Ye, Y Wang, W ** in large-scale GNSS-denied environments
Real-time 3-D map** of large-scale global navigation satellite system (GNSS)-denied
environments plays an important role in forest inventory management, disaster emergency …
environments plays an important role in forest inventory management, disaster emergency …
RD-VIO: Robust visual-inertial odometry for mobile augmented reality in dynamic environments
J Li, X Pan, G Huang, Z Zhang, N Wang… - IEEE transactions on …, 2024 - ieeexplore.ieee.org
It is typically challenging for visual or visual-inertial odometry systems to handle the
problems of dynamic scenes and pure rotation. In this work, we design a novel visual-inertial …
problems of dynamic scenes and pure rotation. In this work, we design a novel visual-inertial …
Adaptive vio: Deep visual-inertial odometry with online continual learning
Y Pan, W Zhou, Y Cao, H Zha - 2024 IEEE/CVF Conference on …, 2024 - ieeexplore.ieee.org
Visual-inertial odometry (VIO) has demonstrated re-markable success due to its low-cost
and complementary sensors. However, existing VIO methods lack the general-ization ability …
and complementary sensors. However, existing VIO methods lack the general-ization ability …
[HTML][HTML] AI-based approaches for improving autonomous mobile robot localization in indoor environments: A comprehensive review
S Wang, NS Ahmad - … Science and Technology, an International Journal, 2025 - Elsevier
The adoption of indoor autonomous mobile robot (AMR) has surged significantly, driven by
their ability to integrate diverse sensors, maintain low operating costs, facilitate easy …
their ability to integrate diverse sensors, maintain low operating costs, facilitate easy …
VIO-DualProNet: Visual-inertial odometry with learning based process noise covariance
D Solodar, I Klein - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Visual-inertial odometry (VIO) is a vital technique used in robotics, augmented reality, and
autonomous vehicles. It combines visual and inertial measurements to accurately estimate …
autonomous vehicles. It combines visual and inertial measurements to accurately estimate …
Vlm-grounder: A vlm agent for zero-shot 3d visual grounding
3D visual grounding is crucial for robots, requiring integration of natural language and 3D
scene understanding. Traditional methods depending on supervised learning with 3D point …
scene understanding. Traditional methods depending on supervised learning with 3D point …
MS-VRO: A Multi-Stage Visual-Millimeter Wave Radar Fusion Odometry
Monocular visual odometry (VO) has extensive applications in mobile robots and computer
vision. However, current applications of monocular VO systems in complex environments …
vision. However, current applications of monocular VO systems in complex environments …
Gyro-Net: IMU gyroscopes random errors compensation method based on deep learning
Y Gao, D Shi, R Li, Z Liu, W Sun - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
To solve the problem of inaccurate orientation estimation after long-term operations of the
Inertial Measurement Unit (IMU), we present a learning-based method (called Gyro-Net) to …
Inertial Measurement Unit (IMU), we present a learning-based method (called Gyro-Net) to …