Advances in intelligent and autonomous navigation systems for small UAS
A significant growth in Unmanned Aircraft System (UAS) operations has been observed over
the past decade, largely driven by the emergence of new commercial opportunities and use …
the past decade, largely driven by the emergence of new commercial opportunities and use …
A survey for deep reinforcement learning in markovian cyber–physical systems: Common problems and solutions
T Rupprecht, Y Wang - Neural Networks, 2022 - Elsevier
Abstract Deep Reinforcement Learning (DRL) is increasingly applied in cyber–physical
systems for automation tasks. It is important to record the developing trends in DRL's …
systems for automation tasks. It is important to record the developing trends in DRL's …
A Review of Navigation Algorithms for Unmanned Aerial Vehicles Based on Computer Vision Systems
B Ali, RN Sadekov, VV Tsodokova - Gyroscopy and Navigation, 2022 - Springer
The article analyzes the works devoted to outdoor navigation of unmanned aerial vehicles
(UAVs) in GNSS-denied environments using computer vision systems (optical range …
(UAVs) in GNSS-denied environments using computer vision systems (optical range …
Registration techniques for clinical applications of three-dimensional augmented reality devices
CM Andrews, AB Henry, IM Soriano… - IEEE journal of …, 2020 - ieeexplore.ieee.org
Many clinical procedures would benefit from direct and intuitive real-time visualization of
anatomy, surgical plans, or other information crucial to the procedure. Three-dimensional …
anatomy, surgical plans, or other information crucial to the procedure. Three-dimensional …
[HTML][HTML] Spoofing detection of civilian UAVs using visual odometry
Spoofing of Unmanned Aerial Vehicles (UAV) is generally carried out through spoofing of
the UAV's Global Positioning System (GPS) receiver. This paper presents a vision-based …
the UAV's Global Positioning System (GPS) receiver. This paper presents a vision-based …
Techniques for constructing indoor navigation systems for the visually impaired: A review
RN Kandalan, K Namuduri - IEEE Transactions on Human …, 2020 - ieeexplore.ieee.org
Sight is an important sensory input for humans to navigate their surrounding environment
independently. Tasks that are simple for the sighted are often difficult for a visually impaired …
independently. Tasks that are simple for the sighted are often difficult for a visually impaired …
Application of computer vision and deep learning in the railway domain for autonomous train stop operation
M Etxeberria-Garcia, M Labayen… - 2020 IEEE/SICE …, 2020 - ieeexplore.ieee.org
The purpose of this paper is to present the results of the analysis of the application of Deep
Learning in the railway domain with a particular focus on a train stop operation. The paper …
Learning in the railway domain with a particular focus on a train stop operation. The paper …
[HTML][HTML] Efficient probability-oriented feature matching using wide field-of-view imaging
M Flores, D Valiente, A Gil, O Reinoso… - Engineering Applications of …, 2022 - Elsevier
Feature matching is a key technique for a wide variety of computer vision and image
processing applications such as visual localization. It permits finding correspondences of …
processing applications such as visual localization. It permits finding correspondences of …
Does: A deep learning-based approach to estimate roll and pitch at sea
The use of Attitude and Heading Reference Systems (AHRS) for orientation estimation is
now common practice in a wide range of applications, eg, robotics and human motion …
now common practice in a wide range of applications, eg, robotics and human motion …
Mutual information based feature selection for stereo visual odometry
Visual odometry (VO) is one of the promising techniques that estimates pose using the
camera and does not necessarily require other sensor aiding. With increasing automation …
camera and does not necessarily require other sensor aiding. With increasing automation …