Trajectory-Prediction Techniques for Unmanned Aerial Vehicles (UAVs): A Comprehensive Survey
Unmanned Aerial Vehicles (UAVs) have witnessed remarkable significance in diverse
sectors, ranging from environmental monitoring, infrastructure inspection, disaster response …
sectors, ranging from environmental monitoring, infrastructure inspection, disaster response …
Deep learning for visual SLAM: the state-of-the-art and future trends
MN Favorskaya - Electronics, 2023 - mdpi.com
Visual Simultaneous Localization and Mapping (VSLAM) has been a hot topic of research
since the 1990s, first based on traditional computer vision and recognition techniques and …
since the 1990s, first based on traditional computer vision and recognition techniques and …
HVIOnet: A deep learning based hybrid visual–inertial odometry approach for unmanned aerial system position estimation
Sensor fusion is used to solve the localization problem in autonomous mobile robotics
applications by integrating complementary data acquired from various sensors. In this study …
applications by integrating complementary data acquired from various sensors. In this study …
Multi-aperture visual velocity measurement method based on biomimetic compound-eye for UAVs
Autonomous velocity measurement technology based on optical flow plays an important role
in applications of the Internet of Things. However, robust velocity measurement results need …
in applications of the Internet of Things. However, robust velocity measurement results need …
TransFusionOdom: Transformer-based LiDAR-inertial fusion odometry estimation
Multimodal fusion of sensors is a commonly used approach to enhance the performance of
odometry estimation, which is also a fundamental module for mobile robots. Recently …
odometry estimation, which is also a fundamental module for mobile robots. Recently …
A multi-model data-fusion based deep transfer learning for improved remaining useful life estimation for IIOT based systems
Remaining useful life (RUL) estimation, a key component in predictive maintenance (PdM),
aims to reduce maintenance cycles in the prognostic health of mechanical equipment (s) …
aims to reduce maintenance cycles in the prognostic health of mechanical equipment (s) …
Ema-vio: Deep visual–inertial odometry with external memory attention
Accurate and robust localization is a fundamental need for mobile agents. Visual–inertial
odometry (VIO) algorithms exploit the information from the camera and inertial sensors to …
odometry (VIO) algorithms exploit the information from the camera and inertial sensors to …
UAVPNet: A balanced and enhanced UAV object detection and pose recognition network
P Shan, R Yang, H Xiao, L Zhang, Y Liu, Q Fu, Y Zhao - Measurement, 2023 - Elsevier
With the increasing popularity of unmanned aerial vehicles (UAVs), accurate positioning and
pose recognition of UAVs by target images based on photoelectric detection become a …
pose recognition of UAVs by target images based on photoelectric detection become a …
Generalizable end-to-end deep learning frameworks for real-time attitude estimation using 6DoF inertial measurement units
AA Golroudbari, MH Sabour - Measurement, 2023 - Elsevier
This paper presents a novel end-to-end deep learning framework for real-time inertial
attitude estimation using 6DoF IMU measurements. Inertial Measurement Units are widely …
attitude estimation using 6DoF IMU measurements. Inertial Measurement Units are widely …
Integrating GRU with a Kalman Filter to Enhance Visual Inertial Odometry Performance in Complex Environments
To enhance system reliability and mitigate the vulnerabilities of the Global Navigation
Satellite Systems (GNSS), it is common to fuse the Inertial Measurement Unit (IMU) and …
Satellite Systems (GNSS), it is common to fuse the Inertial Measurement Unit (IMU) and …