PoET: Pose estimation transformer for single-view, multi-object 6D pose estimation
Accurate 6D object pose estimation is an important task for a variety of robotic applications
such as grasping or localization. It is a challenging task due to object symmetries, clutter and …
such as grasping or localization. It is a challenging task due to object symmetries, clutter and …
Adaptive estimation of UAV altitude in complex indoor environments using degraded and time-delayed measurements with time-varying uncertainties
A novel approach for robust Unmanned Aerial Vehicle (UAV) altitude estimation relying on
laser measurements that is designed for use in complex indoor environments is proposed in …
laser measurements that is designed for use in complex indoor environments is proposed in …
Experimental evaluation of Visual‐Inertial Odometry systems for arable farming
The farming industry constantly seeks the automation of different processes involved in
agricultural production, such as sowing, harvesting and weed control. The use of mobile …
agricultural production, such as sowing, harvesting and weed control. The use of mobile …
Learning type-2 fuzzy logic for factor graph based-robust pose estimation with multi-sensor fusion
D Van Nam, K Gon-Woo - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Although a wide variety of high-performance state estimation techniques have been
introduced recently, the robustness and extension to actual conditions of the estimation …
introduced recently, the robustness and extension to actual conditions of the estimation …
Overcoming bias: Equivariant filter design for biased attitude estimation with online calibration
Stochastic filters for on-line state estimation are a core technology for autonomous systems.
The performance of such filters is one of the key limiting factors to a system's capability. Both …
The performance of such filters is one of the key limiting factors to a system's capability. Both …
Mins: Efficient and robust multisensor-aided inertial navigation system
Robust multisensor fusion of multi-modal measurements such as IMUs, wheel encoders,
cameras, LiDARs, and GPS holds great potential due to its innate ability to improve …
cameras, LiDARs, and GPS holds great potential due to its innate ability to improve …
ROV-Based Autonomous Maneuvering for Ship Hull Inspection with Coverage Monitoring
Hull inspection is an important task to ensure sustainability of ships. To overcome the
challenges of hull structure inspection in an underwater environment in an efficient way, an …
challenges of hull structure inspection in an underwater environment in an efficient way, an …
The INSANE dataset: Large number of sensors for challenging UAV flights in Mars analog, outdoor, and out-/indoor transition scenarios
For real-world applications, autonomous mobile robotic platforms must be capable of
navigating safely in a multitude of different and dynamic environments with accurate and …
navigating safely in a multitude of different and dynamic environments with accurate and …
Weighted assignment fusion algorithm of evidence conflict based on Euclidean distance and weighting strategy, and application in the wind turbine system
L Gou, J Zhang, N Li, Z Wang, J Chen, L Qi - PLoS One, 2022 - journals.plos.org
In the process of intelligent system operation fault diagnosis and decision making, the multi-
source, heterogeneous, complex, and fuzzy characteristics of information make the conflict …
source, heterogeneous, complex, and fuzzy characteristics of information make the conflict …
Multidrone systems: More than the sum of the parts
Now that drones have evolved from bulky platforms to agile devices, a challenge is to
combine multiple drones into an integrated autonomous system, offering functionality that …
combine multiple drones into an integrated autonomous system, offering functionality that …